2020
|
Graux, Damien; Sejdiu, Gezim; Stadler, Claus; Napolitano, Giulio; Lehmann, Jens MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL
Queries Inproceedings Semantic Systems. In the Era of Knowledge Graphs - 16th International
Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands,
September 7-10, 2020, Proceedings, pp. 104–117, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/GrauxSSN020,
title = {MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL
Queries},
author = {Damien Graux and
Gezim Sejdiu and
Claus Stadler and
Giulio Napolitano and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-59833-4_7},
doi = {10.1007/978-3-030-59833-4_7},
year = {2020},
date = {2020-01-01},
booktitle = {Semantic Systems. In the Era of Knowledge Graphs - 16th International
Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands,
September 7-10, 2020, Proceedings},
volume = {12378},
pages = {104--117},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Bin, Simon; Wenige, Lisa; Bühmann, Lorenz; Lehmann, Jens Schema-agnostic SPARQL-driven faceted search benchmark generation Journal Article J. Web Semant., 65 , pp. 100614, 2020. Links | BibTeX @article{DBLP:journals/ws/StadlerBWBL20,
title = {Schema-agnostic SPARQL-driven faceted search benchmark generation},
author = {Claus Stadler and
Simon Bin and
Lisa Wenige and
Lorenz Bühmann and
Jens Lehmann},
url = {https://doi.org/10.1016/j.websem.2020.100614},
doi = {10.1016/j.websem.2020.100614},
year = {2020},
date = {2020-01-01},
journal = {J. Web Semant.},
volume = {65},
pages = {100614},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Stadler, Claus; Sejdiu, Gezim; Graux, Damien; Lehmann, Jens Querying Large-scale RDF Datasets Using the SANSA Framework Inproceedings Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019, pp. 285–288, CEUR-WS.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/StadlerSG019,
title = {Querying Large-scale RDF Datasets Using the SANSA Framework},
author = {Claus Stadler and
Gezim Sejdiu and
Damien Graux and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-2456/paper74.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019},
volume = {2456},
pages = {285--288},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Sejdiu, Gezim; Graux, Damien; Lehmann, Jens Sparklify: A Scalable Software Component for Efficient Evaluation
of SPARQL Queries over Distributed RDF Datasets Inproceedings The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference,
Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 293–308, Springer, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/StadlerSG019a,
title = {Sparklify: A Scalable Software Component for Efficient Evaluation
of SPARQL Queries over Distributed RDF Datasets},
author = {Claus Stadler and
Gezim Sejdiu and
Damien Graux and
Jens Lehmann},
url = {http://jens-lehmann.org/files/2019/iswc_sparklify.pdf},
doi = {10.1007/978-3-030-30796-7_19},
year = {2019},
date = {2019-01-01},
booktitle = {The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference,
Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II},
volume = {11779},
pages = {293--308},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Wenige, Lisa; Martin, Michael; Tramp, Sebastian; Junghanns, Kurt RDF-based Deployment Pipelining for Efficient Dataset Release Management Inproceedings Proceedings of the Posters and Demo Track of the 15th International
Conference on Semantic Systems co-located with 15th International
Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany,
September 9th - to - 12th, 2019, CEUR-WS.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/StadlerW0TJ19,
title = {RDF-based Deployment Pipelining for Efficient Dataset Release Management},
author = {Claus Stadler and
Lisa Wenige and
Michael Martin and
Sebastian Tramp and
Kurt Junghanns},
url = {http://ceur-ws.org/Vol-2451/paper-24.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the Posters and Demo Track of the 15th International
Conference on Semantic Systems co-located with 15th International
Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany,
September 9th - to - 12th, 2019},
volume = {2451},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Taylor, Kerry; Haller, Armin; c c, Maxime Lefran; Cox, Simon J D; Janowicz, Krzysztof; Garcia-Castro, Raul; Phuoc, Danh Le; Lieberman, Joshua; Atkinson, Rob; Stadler, Claus The Semantic Sensor Network Ontology, Revamped Inproceedings Proceedings of the Journal Track co-located with the 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26, 2019, CEUR-WS.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/TaylorHLCJGPLAS19,
title = {The Semantic Sensor Network Ontology, Revamped},
author = {Kerry Taylor and
Armin Haller and
Maxime Lefran{c c}ois and
Simon J. D. Cox and
Krzysztof Janowicz and
Raul Garcia-Castro and
Danh Le Phuoc and
Joshua Lieberman and
Rob Atkinson and
Claus Stadler},
url = {http://ceur-ws.org/Vol-2576/paper11.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the Journal Track co-located with the 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26, 2019},
volume = {2576},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Haller, Armin; Janowicz, Krzysztof; Cox, Simon J D; c c, Maxime Lefran; Taylor, Kerry; Phuoc, Danh Le; Lieberman, Joshua; 'i, Ra{'u}l Garc; Atkinson, Rob; Stadler, Claus The modular SSN ontology: A joint W3C and OGC standard specifying
the semantics of sensors, observations, sampling, and actuation Journal Article Semantic Web, 10 (1), pp. 9–32, 2019. Links | BibTeX @article{DBLP:journals/semweb/HallerJCLTPLGAS19,
title = {The modular SSN ontology: A joint W3C and OGC standard specifying
the semantics of sensors, observations, sampling, and actuation},
author = {Armin Haller and
Krzysztof Janowicz and
Simon J. D. Cox and
Maxime Lefran{c c}ois and
Kerry Taylor and
Danh Le Phuoc and
Joshua Lieberman and
Ra{'u}l Garc{'i}a-Castro and
Rob Atkinson and
Claus Stadler},
url = {https://doi.org/10.3233/SW-180320},
doi = {10.3233/SW-180320},
year = {2019},
date = {2019-01-01},
journal = {Semantic Web},
volume = {10},
number = {1},
pages = {9--32},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
Georgala, Kleanthi; Spasic, Mirko; Jovanovik, Milos; Papakonstantinou, Vassilis; Stadler, Claus; Röder, Michael; Ngomo, Axel-Cyrille Ngonga MOCHA2018: The Mighty Storage Challenge at ESWC 2018 Inproceedings Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018,
Heraklion, Greece, June 3-7, 2018, Revised Selected Papers, pp. 3–16, Springer, 2018. Links | BibTeX @inproceedings{DBLP:conf/esws/GeorgalaSJPSRN18,
title = {MOCHA2018: The Mighty Storage Challenge at ESWC 2018},
author = {Kleanthi Georgala and
Mirko Spasic and
Milos Jovanovik and
Vassilis Papakonstantinou and
Claus Stadler and
Michael Röder and
Axel-Cyrille Ngonga Ngomo},
url = {https://doi.org/10.1007/978-3-030-00072-1_1},
doi = {10.1007/978-3-030-00072-1_1},
year = {2018},
date = {2018-01-01},
booktitle = {Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018,
Heraklion, Greece, June 3-7, 2018, Revised Selected Papers},
volume = {927},
pages = {3--16},
publisher = {Springer},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Lehmann, Jens Efficiently Pinpointing SPARQL Query Containments Inproceedings Web Engineering - 18th International Conference, ICWE 2018, Cáceres,
Spain, June 5-8, 2018, Proceedings, pp. 210–224, Springer, 2018. Links | BibTeX @inproceedings{DBLP:conf/icwe/Stadler0NL18,
title = {Efficiently Pinpointing SPARQL Query Containments},
author = {Claus Stadler and
Muhammad Saleem and
Axel-Cyrille Ngonga Ngomo and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-319-91662-0_16},
doi = {10.1007/978-3-319-91662-0_16},
year = {2018},
date = {2018-01-01},
booktitle = {Web Engineering - 18th International Conference, ICWE 2018, Cáceres,
Spain, June 5-8, 2018, Proceedings},
volume = {10845},
pages = {210--224},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Saleem, Muhammad; Mehmood, Qaiser; Stadler, Claus; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga Generating SPARQL Query Containment Benchmarks Using the SQCFramework Inproceedings Proceedings of the ISWC 2018 Posters & Demonstrations, Industry
and Blue Sky Ideas Tracks co-located with 17th International Semantic
Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th,
2018, CEUR-WS.org, 2018. Links | BibTeX @inproceedings{DBLP:conf/semweb/0002MSLN18,
title = {Generating SPARQL Query Containment Benchmarks Using the SQCFramework},
author = {Muhammad Saleem and
Qaiser Mehmood and
Claus Stadler and
Jens Lehmann and
Axel-Cyrille Ngonga Ngomo},
url = {http://ceur-ws.org/Vol-2180/paper-56.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the ISWC 2018 Posters & Demonstrations, Industry
and Blue Sky Ideas Tracks co-located with 17th International Semantic
Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th,
2018},
volume = {2180},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
Stadler, Claus; Lehmann, Jens JPA Criteria Queries over RDF Data Inproceedings Joint Proceedings of the 2nd RDF Stream Processing (RSP 2017)
and the Querying the Web of Data (QuWeDa 2017) Workshops co-located
with 14th ESWC 2017 (ESWC 2017), Portoroz, Slovenia, May 28th
- to - 29th, 2017, pp. 55–62, CEUR-WS.org, 2017. Links | BibTeX @inproceedings{DBLP:conf/esws/StadlerL17,
title = {JPA Criteria Queries over RDF Data},
author = {Claus Stadler and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-1870/paper-06.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Joint Proceedings of the 2nd RDF Stream Processing (RSP 2017)
and the Querying the Web of Data (QuWeDa 2017) Workshops co-located
with 14th ESWC 2017 (ESWC 2017), Portoroz, Slovenia, May 28th
- to - 29th, 2017},
volume = {1870},
pages = {55--62},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Petzka, Henning; Stadler, Claus; Katsimpras, Georgios; Haarmann, Bastian; Lehmann, Jens Benchmarking Faceted Browsing Capabilities of Triplestores Inproceedings Proceedings of the 13th International Conference on Semantic Systems,
SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017, pp. 128–135, ACM, 2017. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/PetzkaSKHL17,
title = {Benchmarking Faceted Browsing Capabilities of Triplestores},
author = {Henning Petzka and
Claus Stadler and
Georgios Katsimpras and
Bastian Haarmann and
Jens Lehmann},
url = {http://jens-lehmann.org/files/2017/semantics_faceted_browsing.pdf},
doi = {10.1145/3132218.3132242},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 13th International Conference on Semantic Systems,
SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017},
pages = {128--135},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Saleem, Muhammad; Stadler, Claus; Mehmood, Qaiser; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga SQCFramework: SPARQL Query Containment Benchmark Generation Framework Inproceedings Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin,
TX, USA, December 4-6, 2017, pp. 28:1–28:8, ACM, 2017. Links | BibTeX @inproceedings{DBLP:conf/kcap/SaleemSMLN17,
title = {SQCFramework: SPARQL Query Containment Benchmark Generation Framework},
author = {Muhammad Saleem and
Claus Stadler and
Qaiser Mehmood and
Jens Lehmann and
Axel-Cyrille Ngonga Ngomo},
url = {http://jens-lehmann.org/files/2017/kcap_sqc.pdf},
doi = {10.1145/3148011.3148017},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin,
TX, USA, December 4-6, 2017},
pages = {28:1--28:8},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ermilov, Ivan; Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Bin, Simon; Chakraborty, Nilesh; Petzka, Henning; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira The Tale of Sansa Spark Inproceedings Proceedings of the ISWC 2017 Posters & Demonstrations and Industry
Tracks co-located with 16th International Semantic Web Conference
(ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, CEUR-WS.org, 2017. Links | BibTeX @inproceedings{DBLP:conf/semweb/ErmilovLSBWSBCP17,
title = {The Tale of Sansa Spark},
author = {Ivan Ermilov and
Jens Lehmann and
Gezim Sejdiu and
Lorenz Bühmann and
Patrick Westphal and
Claus Stadler and
Simon Bin and
Nilesh Chakraborty and
Henning Petzka and
Muhammad Saleem and
Axel-Cyrille Ngonga Ngomo and
Hajira Jabeen},
url = {http://ceur-ws.org/Vol-1963/paper552.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the ISWC 2017 Posters & Demonstrations and Industry
Tracks co-located with 16th International Semantic Web Conference
(ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017},
volume = {1963},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Ermilov, Ivan; Bin, Simon; Chakraborty, Nilesh; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira Distributed Semantic Analytics Using the SANSA Stack Inproceedings The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference,
Vienna, Austria, October 21-25, 2017, Proceedings, Part II, pp. 147–155, Springer, 2017. Abstract | Links | BibTeX @inproceedings{DBLP:conf/semweb/LehmannSBWSEBCS17,
title = {Distributed Semantic Analytics Using the SANSA Stack},
author = {Jens Lehmann and
Gezim Sejdiu and
Lorenz Bühmann and
Patrick Westphal and
Claus Stadler and
Ivan Ermilov and
Simon Bin and
Nilesh Chakraborty and
Muhammad Saleem and
Axel-Cyrille Ngonga Ngomo and
Hajira Jabeen},
url = {http://svn.aksw.org/papers/2017/ISWC_SANSA_SoftwareFramework/public.pdf},
doi = {10.1007/978-3-319-68204-4_15},
year = {2017},
date = {2017-01-01},
booktitle = {The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference,
Vienna, Austria, October 21-25, 2017, Proceedings, Part II},
volume = {10588},
pages = {147--155},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA. |
2016
|
kmueller stadler singh hellmann, Towards Sustainable view-based Extract-Transform-Load (ETL) Fusion of Open Data Inproceedings Proceedings of the Workshop on 3rd Workshop on Linked Data Quality co-located with the European Semantic Web Conference 2016 (ESWC 2016), 2016. Abstract | Links | BibTeX @inproceedings{kmueller-ldq16-etl-views,
title = {Towards Sustainable view-based Extract-Transform-Load (ETL) Fusion of Open Data},
author = {kmueller stadler singh hellmann},
url = {http://svn.aksw.org/papers/2016/ESWC_ETL_VIEWS/public.pdf},
year = {2016},
date = {2016-05-01},
booktitle = {Proceedings of the Workshop on 3rd Workshop on Linked Data Quality co-located with the European Semantic Web Conference 2016 (ESWC 2016)},
abstract = {Openly available datasets originate from different data providers which range from government agencies, over commercial enterprises to communities of data enthusiasts. Integrating different source datasets into a single RDF graph by using ETL (Extract-Transform-Load) sys- tems which perform offline transformation, ontology matching and link- ing techniques usually takes many iterations of revisions until the target dataset is made free of the most obvious mapping, linking and consis- tency errors. Since ETL systems produce the RDF offline, any map- ping or content change requires a re-ingest of the relevant source data. When dealing with heterogeneous source datasets, creating a unified tar- get dataset can be a tedious undertaking. Therefore the paper proposes an RDF view based ingestion approach, which allows real-time debugging of the unified dataset where mappings and links can be changed with immediate effect. Once the unified graph passes all data quality tests, the RDF can be materialized. This process poses an alternative to existing ETL solutions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Openly available datasets originate from different data providers which range from government agencies, over commercial enterprises to communities of data enthusiasts. Integrating different source datasets into a single RDF graph by using ETL (Extract-Transform-Load) sys- tems which perform offline transformation, ontology matching and link- ing techniques usually takes many iterations of revisions until the target dataset is made free of the most obvious mapping, linking and consis- tency errors. Since ETL systems produce the RDF offline, any map- ping or content change requires a re-ingest of the relevant source data. When dealing with heterogeneous source datasets, creating a unified tar- get dataset can be a tedious undertaking. Therefore the paper proposes an RDF view based ingestion approach, which allows real-time debugging of the unified dataset where mappings and links can be changed with immediate effect. Once the unified graph passes all data quality tests, the RDF can be materialized. This process poses an alternative to existing ETL solutions. |
Müller, Kay; Stadler, Claus; Singh, Ritesh Kumar; Hellmann, Sebastian Towards Sustainable Extract-Transform-Load Fusion of Company Data Inproceedings Joint Proceedings of the 2nd Workshop on Managing the Evolution and
Preservation of the Data Web (MEPDaW 2016) and the 3rd Workshop on
Linked Data Quality (LDQ 2016) co-located with 13th European Semantic
Web Conference (ESWC 2016), Heraklion, Crete, Greece, May 30th,
2016, pp. 70–73, CEUR-WS.org, 2016. Links | BibTeX @inproceedings{DBLP:conf/esws/MullerSSH16,
title = {Towards Sustainable Extract-Transform-Load Fusion of Company Data},
author = {Kay Müller and
Claus Stadler and
Ritesh Kumar Singh and
Sebastian Hellmann},
url = {http://ceur-ws.org/Vol-1585/ldq2016_paper_03.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Joint Proceedings of the 2nd Workshop on Managing the Evolution and
Preservation of the Data Web (MEPDaW 2016) and the 3rd Workshop on
Linked Data Quality (LDQ 2016) co-located with 13th European Semantic
Web Conference (ESWC 2016), Heraklion, Crete, Greece, May 30th,
2016},
volume = {1585},
pages = {70--73},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Garcia-Rojas, Alejandra; Hladky, Daniel; Wauer, Matthias; Isele, Robert; Stadler, Claus; Lehmann, Jens The GeoKnow Generator Workbench: An Integration Platform for Geospatial Data Inproceedings Proceedings of the 3rd International Workshop on Semantic Web Enterprise Adoption and Best Practice, 2015. BibTeX @inproceedings{wasabi_generator,
title = {The GeoKnow Generator Workbench: An Integration Platform for Geospatial Data},
author = {Alejandra Garcia-Rojas and Daniel Hladky and Matthias Wauer and Robert Isele and Claus Stadler and Jens Lehmann},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 3rd International Workshop on Semantic Web Enterprise Adoption and Best Practice},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Arndt, Natanael; Martin, Michael; Lehmann, Jens RDF Editing on the Web Inproceedings Joint Proceedings of the Posters and Demos Track of 11th International
Conference on Semantic Systems - SEMANTiCS 2015 and 1st Workshop on
Data Science: Methods, Technology and Applications (DSci15) 11th International
Conference on Semantic Systems - SEMANTiCS 2015, Vienna, Austria,
September 15-17, 2015, pp. 96–99, CEUR-WS.org, 2015. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/StadlerAML15,
title = {RDF Editing on the Web},
author = {Claus Stadler and
Natanael Arndt and
Michael Martin and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-1481/paper29.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Joint Proceedings of the Posters and Demos Track of 11th International
Conference on Semantic Systems - SEMANTiCS 2015 and 1st Workshop on
Data Science: Methods, Technology and Applications (DSci15) 11th International
Conference on Semantic Systems - SEMANTiCS 2015, Vienna, Austria,
September 15-17, 2015},
volume = {1481},
pages = {96--99},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Martin, Michael; Abicht, Konrad; Stadler, Claus; Ngomo, Axel-Cyrille Ngonga; Soru, Tommaso; Auer, Sören CubeViz: Exploration and Visualization of Statistical Linked Data Inproceedings Proceedings of the 24th International Conference on World Wide Web
Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion
Volume, pp. 219–222, ACM, 2015. Abstract | Links | BibTeX @inproceedings{DBLP:conf/www/MartinASNSA15,
title = {CubeViz: Exploration and Visualization of Statistical Linked Data},
author = {Michael Martin and
Konrad Abicht and
Claus Stadler and
Axel-Cyrille Ngonga Ngomo and
Tommaso Soru and
Sören Auer},
url = {http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf},
doi = {10.1145/2740908.2742848},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 24th International Conference on World Wide Web
Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion
Volume},
pages = {219--222},
publisher = {ACM},
abstract = {CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience. |
Stadler, Claus; Unbehauen, Jörg; Westphal, Patrick; Sherif, Mohamed Ahmed; Lehmann, Jens Simplified RDB2RDF Mapping Inproceedings Proceedings of the Workshop on Linked Data on the Web, LDOW 2015,
co-located with the 24th International World Wide Web Conference (WWW
2015), Florence, Italy, May 19th, 2015, CEUR-WS.org, 2015. Abstract | Links | BibTeX @inproceedings{DBLP:conf/www/StadlerUWSL15,
title = {Simplified RDB2RDF Mapping},
author = {Claus Stadler and
Jörg Unbehauen and
Patrick Westphal and
Mohamed Ahmed Sherif and
Jens Lehmann},
url = {svn.aksw.org/papers/2015/LDOW_SML/paper-camery-ready_public.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Workshop on Linked Data on the Web, LDOW 2015,
co-located with the 24th International World Wide Web Conference (WWW
2015), Florence, Italy, May 19th, 2015},
volume = {1409},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
abstract = {The combination of the advantages of widely used relational databases and semantic technologies has attracted significant research over the past decade. In particular, mapping languages for the conversion of databases to RDF knowledge bases have been developed and standardized in the form of R2RML. In this article, we first review those mapping languages and then devise work towards a unified formal model for them. Based on this, we present the Sparqlification Mapping Language (SML), which provides an intuitive way to declare mappings based on SQL VIEWS and SPARQL construct queries. We show that SML has the same expressivity as R2RML by enumerating the language features and show the correspondences, and we outline how one syntax can be converted into the other. A conducted user study for this paper juxtaposing SML and R2RML provides evidence that SML is a more compact syntax which is easier to understand and read and thus lowers the barrier to offer SPARQL access to relational databases.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The combination of the advantages of widely used relational databases and semantic technologies has attracted significant research over the past decade. In particular, mapping languages for the conversion of databases to RDF knowledge bases have been developed and standardized in the form of R2RML. In this article, we first review those mapping languages and then devise work towards a unified formal model for them. Based on this, we present the Sparqlification Mapping Language (SML), which provides an intuitive way to declare mappings based on SQL VIEWS and SPARQL construct queries. We show that SML has the same expressivity as R2RML by enumerating the language features and show the correspondences, and we outline how one syntax can be converted into the other. A conducted user study for this paper juxtaposing SML and R2RML provides evidence that SML is a more compact syntax which is easier to understand and read and thus lowers the barrier to offer SPARQL access to relational databases. |
Lehmann, Jens; Athanasiou, Spiros; Both, Andreas; 'i, Alejandra Garc; Giannopoulos, Giorgos; Hladky, Daniel; Grange, Jon Jay Le; Ngomo, Axel-Cyrille Ngonga; Sherif, Mohamed Ahmed; Stadler, Claus; Wauer, Matthias; Westphal, Patrick; Zaslawski, Vadim Managing Geospatial Linked Data in the GeoKnow Project Incollection The Semantic Web in Earth and Space Science. Current Status and Future
Directions, 20 , pp. 51–78, IOS Press, 2015. Links | BibTeX @incollection{DBLP:books/ios/p/LehmannABGGHGNSSWWZ15,
title = {Managing Geospatial Linked Data in the GeoKnow Project},
author = {Jens Lehmann and
Spiros Athanasiou and
Andreas Both and
Alejandra Garc{'i}a-Rojas and
Giorgos Giannopoulos and
Daniel Hladky and
Jon Jay Le Grange and
Axel-Cyrille Ngonga Ngomo and
Mohamed Ahmed Sherif and
Claus Stadler and
Matthias Wauer and
Patrick Westphal and
Vadim Zaslawski},
url = {http://jens-lehmann.org/files/2015/ios_geoknow_chapter.pdf},
doi = {10.3233/978-1-61499-501-2-51},
year = {2015},
date = {2015-01-01},
booktitle = {The Semantic Web in Earth and Space Science. Current Status and Future
Directions},
volume = {20},
pages = {51--78},
publisher = {IOS Press},
series = {Studies on the Semantic Web},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Westphal, Patrick; Stadler, Claus; Pool, Jonathan Countering language attrition with PanLex and the Web of Data Journal Article Semantic Web, 6 (4), pp. 347–353, 2015. Links | BibTeX @article{DBLP:journals/semweb/WestphalSP15,
title = {Countering language attrition with PanLex and the Web of Data},
author = {Patrick Westphal and
Claus Stadler and
Jonathan Pool},
url = {https://doi.org/10.3233/SW-140138},
doi = {10.3233/SW-140138},
year = {2015},
date = {2015-01-01},
journal = {Semantic Web},
volume = {6},
number = {4},
pages = {347--353},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Grange, Jon Jay Le; Lehmann, Jens; Athanasiou, Spiros; Rojas, Alejandra Garcia; Giannopoulos, Giorgos; Hladky, Daniel; Isele, Robert; Ngomo, Axel-Cyrille Ngonga; Sherif, Mohamed Ahmed; Stadler, Claus; Wauer, Matthias The GeoKnow Generator: Managing Geospatial Data in the Linked Data Web Inproceedings Proceedings of the Linking Geospatial Data Workshop, 2014. Links | BibTeX @inproceedings{lgd_geoknow_generator,
title = {The GeoKnow Generator: Managing Geospatial Data in the Linked Data Web},
author = {Jon Jay Le Grange and Jens Lehmann and Spiros Athanasiou and Alejandra Garcia Rojas and Giorgos Giannopoulos and Daniel Hladky and Robert Isele and Axel-Cyrille Ngonga Ngomo and Mohamed Ahmed Sherif and Claus Stadler and Matthias Wauer},
url = {http://jens-lehmann.org/files/2014/lgd_geoknow_generator.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Linking Geospatial Data Workshop},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Westphal, Patrick; Stadler, Claus; Lehmann, Jens Quality Assurance of RDB2RDF Mappings Technical Report 2014. Links | BibTeX @techreport{rdb2rdf_qa,
title = {Quality Assurance of RDB2RDF Mappings},
author = {Patrick Westphal and Claus Stadler and Jens Lehmann},
url = {http://svn.aksw.org/papers/2014/report_QA_RDB2RDF/public.pdf},
year = {2014},
date = {2014-01-01},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
|
Lukovnikov, Denis; Stadler, Claus; Lehmann, Jens LD viewer - linked data presentation framework Inproceedings Proceedings of the 10th International Conference on Semantic Systems,
SEMANTICS 2014, Leipzig, Germany, September 4-5, 2014, pp. 124–131, ACM, 2014. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/LukovnikovSL14,
title = {LD viewer - linked data presentation framework},
author = {Denis Lukovnikov and
Claus Stadler and
Jens Lehmann},
url = {https://doi.org/10.1145/2660517.2660539},
doi = {10.1145/2660517.2660539},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 10th International Conference on Semantic Systems,
SEMANTICS 2014, Leipzig, Germany, September 4-5, 2014},
pages = {124--131},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Westphal, Patrick; Lehmann, Jens Jassa - A JavaScript suite for SPARQL-based faceted search Inproceedings Proceedings of the ISWC Developers Workshop 2014, co-located with
the 13th International Semantic Web Conference (ISWC 2014), Riva
del Garda, Italy, October 19, 2014, pp. 31–36, CEUR-WS.org, 2014. Links | BibTeX @inproceedings{DBLP:conf/semweb/StadlerWL14,
title = {Jassa - A JavaScript suite for SPARQL-based faceted search},
author = {Claus Stadler and
Patrick Westphal and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-1268/paper6.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the ISWC Developers Workshop 2014, co-located with
the 13th International Semantic Web Conference (ISWC 2014), Riva
del Garda, Italy, October 19, 2014},
volume = {1268},
pages = {31--36},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Lukovnikov, Denis; Kontokostas, Dimitris; Stadler, Claus; Hellmann, Sebastian; Lehmann, Jens DBpedia Viewer - An Integrative Interface for DBpedia leveraging the DBpedia Service Eco System Inproceedings Proceedings of the Workshop on Linked Data on the Web co-located with
the 23rd International World Wide Web Conference (WWW 2014), Seoul,
Korea, April 8, 2014, CEUR-WS.org, 2014. Links | BibTeX @inproceedings{DBLP:conf/www/LukovnikovKSHL14,
title = {DBpedia Viewer - An Integrative Interface for DBpedia leveraging the DBpedia Service Eco System},
author = {Denis Lukovnikov and
Dimitris Kontokostas and
Claus Stadler and
Sebastian Hellmann and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-1184/ldow2014_paper_05.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Workshop on Linked Data on the Web co-located with
the 23rd International World Wide Web Conference (WWW 2014), Seoul,
Korea, April 8, 2014},
volume = {1184},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Stadler, Claus; Martin, Michael; Auer, Sören Exploring the web of spatial data with facete Inproceedings 23rd International World Wide Web Conference, WWW '14, Seoul, Republic
of Korea, April 7-11, 2014, Companion Volume, pp. 175–178, ACM, 2014. Links | BibTeX @inproceedings{DBLP:conf/www/StadlerMA14,
title = {Exploring the web of spatial data with facete},
author = {Claus Stadler and
Michael Martin and
Sören Auer},
url = {https://doi.org/10.1145/2567948.2577022},
doi = {10.1145/2567948.2577022},
year = {2014},
date = {2014-01-01},
booktitle = {23rd International World Wide Web Conference, WWW '14, Seoul, Republic
of Korea, April 7-11, 2014, Companion Volume},
pages = {175--178},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Martin, Michael; Stadler, Claus; Frischmuth, Philipp; Lehmann, Jens Increasing the financial transparency of European Commission project
funding Journal Article Semantic Web, 5 (2), pp. 157–164, 2014. Abstract | Links | BibTeX @article{DBLP:journals/semweb/MartinSFL14,
title = {Increasing the financial transparency of European Commission project
funding},
author = {Michael Martin and
Claus Stadler and
Philipp Frischmuth and
Jens Lehmann},
url = {http://www.semantic-web-journal.net/system/files/swj435.pdf},
doi = {10.3233/SW-130116},
year = {2014},
date = {2014-01-01},
journal = {Semantic Web},
volume = {5},
number = {2},
pages = {157--164},
abstract = {The Financial Transparency System (FTS) of the European Commission contains information about grants for European Union projects starting from 2007. It allows users to get an overview on EU funding, including information on beneficiaries as well as the amount and type of expenditure and information on the responsible EU department. The original dataset is freely available on the European Commission website, where users can query the data using an HTML form and download it in CSV and most recently XML format. In this article, we describe the transformation of this data to RDF and its interlinking with other datasets. We show that this allows interesting queries over the data, which were very difficult without this conversion. The main benefit of the dataset is an increased financial transparency of EU project funding. The RDF version of the FTS dataset will become part of the EU Open Data Portal and eventually be hosted and maintained by the European Union itself.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The Financial Transparency System (FTS) of the European Commission contains information about grants for European Union projects starting from 2007. It allows users to get an overview on EU funding, including information on beneficiaries as well as the amount and type of expenditure and information on the responsible EU department. The original dataset is freely available on the European Commission website, where users can query the data using an HTML form and download it in CSV and most recently XML format. In this article, we describe the transformation of this data to RDF and its interlinking with other datasets. We show that this allows interesting queries over the data, which were very difficult without this conversion. The main benefit of the dataset is an increased financial transparency of EU project funding. The RDF version of the FTS dataset will become part of the EU Open Data Portal and eventually be hosted and maintained by the European Union itself. |
Mader, Christian; Martin, Michael; Stadler, Claus Facilitating the Exploration and Visualization of Linked Data Incollection Linked Open Data - Creating Knowledge Out of Interlinked Data - Results
of the LOD2 Project, 8661 , pp. 90–107, Springer, 2014. Abstract | Links | BibTeX @incollection{DBLP:series/lncs/MaderMS14,
title = {Facilitating the Exploration and Visualization of Linked Data},
author = {Christian Mader and
Michael Martin and
Claus Stadler},
url = {https://doi.org/10.1007/978-3-319-09846-3_5},
doi = {10.1007/978-3-319-09846-3_5},
year = {2014},
date = {2014-01-01},
booktitle = {Linked Open Data - Creating Knowledge Out of Interlinked Data - Results
of the LOD2 Project},
volume = {8661},
pages = {90--107},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {The creation and the improvement of tools that cover exploratory and visualization tasks for Linked Data were one of the major goals focused in the LOD2 project. Tools that support those tasks are regarded as essential for the Web of Data, since they can act as a user-oriented starting point for data customers. During the project, several development efforts were made, whose results either facilitate the exploration and visualization directly (such as OntoWiki, the Pivot Browser) or can be used to support such tasks. In this chapter we present the three selected solutions rsine, CubeViz and Facete.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
The creation and the improvement of tools that cover exploratory and visualization tasks for Linked Data were one of the major goals focused in the LOD2 project. Tools that support those tasks are regarded as essential for the Web of Data, since they can act as a user-oriented starting point for data customers. During the project, several development efforts were made, whose results either facilitate the exploration and visualization directly (such as OntoWiki, the Pivot Browser) or can be used to support such tasks. In this chapter we present the three selected solutions rsine, CubeViz and Facete. |
2013
|
Auer, Sören; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga; Stadler, Claus; Unbehauen, Jörg Extraktion, Mapping und Verlinkung von Daten im Web Journal Article Datenbank Spektrum, 13 (2), pp. 77-87, 2013. Links | BibTeX @article{AUE+13a,
title = {Extraktion, Mapping und Verlinkung von Daten im Web},
author = {Sören Auer and Jens Lehmann and Axel-Cyrille Ngonga Ngomo and Claus Stadler and Jörg Unbehauen},
url = {http://jens-lehmann.org/files/2013/db_spektrum_linked_data.pdf},
year = {2013},
date = {2013-01-01},
journal = {Datenbank Spektrum},
volume = {13},
number = {2},
pages = {77-87},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ermilov, Ivan; Auer, Sören; Stadler, Claus CSV2RDF: User-Driven CSV to RDF Mass Conversion Framework Inproceedings Proceedings of the ISEM '13, September 04 - 06 2013, Graz, Austria, 2013. Abstract | Links | BibTeX @inproceedings{ermilov-ivan-2013-isem,
title = {CSV2RDF: User-Driven CSV to RDF Mass Conversion Framework},
author = {Ivan Ermilov and Sören Auer and Claus Stadler},
url = {http://svn.aksw.org/papers/2013/ISemantics_CSV2RDF/public.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the ISEM '13, September 04 - 06 2013, Graz, Austria},
abstract = {Governments and public administrations started recently to publish large amounts of structured data on the Web, mostly in the form of tabular data such as CSV files or Excel sheets. Various tools and projects have been launched aiming at facilitating the lifting of tabular data to reach semantically structured and linked data. However, none of these tools supported a truly incremental, pay-as-you-go data publication and mapping strategy, which enables effort sharing between data owners, community experts and consumers. In this article, we present an approach for enabling the user-driven semantic mapping of large amounts tabular data. We devise a simple mapping language for tabular data, which is easy to understand even for casual users, but expressive enough to cover the vast majority of potential tabular mappings use cases. We outline a formal approach for mapping tabular data to RDF. Default mappings are automatically created and can be revised by the community using a semantic wiki. The mappings are executed using a sophisticated streaming RDB2RDF conversion. We report about the deployment of our approach at the Pan-European data portal PublicData.eu, where we transformed and enriched almost 10,000 datasets accounting for 7.3 billion triples.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Governments and public administrations started recently to publish large amounts of structured data on the Web, mostly in the form of tabular data such as CSV files or Excel sheets. Various tools and projects have been launched aiming at facilitating the lifting of tabular data to reach semantically structured and linked data. However, none of these tools supported a truly incremental, pay-as-you-go data publication and mapping strategy, which enables effort sharing between data owners, community experts and consumers. In this article, we present an approach for enabling the user-driven semantic mapping of large amounts tabular data. We devise a simple mapping language for tabular data, which is easy to understand even for casual users, but expressive enough to cover the vast majority of potential tabular mappings use cases. We outline a formal approach for mapping tabular data to RDF. Default mappings are automatically created and can be revised by the community using a semantic wiki. The mappings are executed using a sophisticated streaming RDB2RDF conversion. We report about the deployment of our approach at the Pan-European data portal PublicData.eu, where we transformed and enriched almost 10,000 datasets accounting for 7.3 billion triples. |
Shekarpour, Saeedeh; Auer, Sören; Ngomo, Axel-Cyrille Ngonga; Gerber, Daniel; Hellmann, Sebastian; Stadler, Claus Generating SPARQL queries using templates Journal Article Web Intelligence and Agent Systems, 11 (3), pp. 283–295, 2013. Links | BibTeX @article{DBLP:journals/wias/ShekarpourANGHS13,
title = {Generating SPARQL queries using templates},
author = {Saeedeh Shekarpour and
Sören Auer and
Axel-Cyrille Ngonga Ngomo and
Daniel Gerber and
Sebastian Hellmann and
Claus Stadler},
url = {https://doi.org/10.3233/WIA-130275},
doi = {10.3233/WIA-130275},
year = {2013},
date = {2013-01-01},
journal = {Web Intelligence and Agent Systems},
volume = {11},
number = {3},
pages = {283--295},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ermilov, Ivan; Auer, Sören; Stadler, Claus User-driven semantic mapping of tabular data Inproceedings I-SEMANTICS 2013 - 9th International Conference on Semantic Systems,
ISEM '13, Graz, Austria, September 4-6, 2013, pp. 105–112, ACM, 2013. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/ErmilovAS13,
title = {User-driven semantic mapping of tabular data},
author = {Ivan Ermilov and
Sören Auer and
Claus Stadler},
url = {https://doi.org/10.1145/2506182.2506196},
doi = {10.1145/2506182.2506196},
year = {2013},
date = {2013-01-01},
booktitle = {I-SEMANTICS 2013 - 9th International Conference on Semantic Systems,
ISEM '13, Graz, Austria, September 4-6, 2013},
pages = {105--112},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Unbehauen, Jörg; Stadler, Claus; Auer, Sören Optimizing SPARQL-to-SQL Rewriting Inproceedings The 15th International Conference on Information Integration and Web-based
Applications & Services, IIWAS '13, Vienna, Austria, December
2-4, 2013, pp. 324, ACM, 2013. Links | BibTeX @inproceedings{DBLP:conf/iiwas/UnbehauenSA13,
title = {Optimizing SPARQL-to-SQL Rewriting},
author = {Jörg Unbehauen and
Claus Stadler and
Sören Auer},
url = {https://doi.org/10.1145/2539150.2539247},
doi = {10.1145/2539150.2539247},
year = {2013},
date = {2013-01-01},
booktitle = {The 15th International Conference on Information Integration and Web-based
Applications & Services, IIWAS '13, Vienna, Austria, December
2-4, 2013},
pages = {324},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Ermilov, Ivan; Stadler, Claus; Martin, Michael; Auer, Sören Towards an Open-Governmental Data Web Inproceedings Proceedings of the KESW2012, 2012. Abstract | Links | BibTeX @inproceedings{ermilov-i-2012--a,
title = {Towards an Open-Governmental Data Web},
author = {Ivan Ermilov and Claus Stadler and Michael Martin and Sören Auer},
url = {http://svn.aksw.org/papers/2012/KESW2012_OpenGovWeb/public.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the KESW2012},
abstract = {Up to the present day much effort has been made to publish government data on the Web. However, such data has been published in different formats. For any particular source and use (e.g. exploration, visualization, integration) of such information special applications have to be written. This limits the overall usability of the information provided and makes it diffcult to access information resources. These limitations can be overridden, if the information will be provided using a homogeneous data and access model complying with the Linked Data principles. In this paper we showcase how raw Open Government Data (OGD) from heterogeneous sources can be processed, converted, published and used on the Web of Linked Data. In particular we demonstrate our experience in processing of OGD on two use cases: the Digital Agenda Scoreboard and the Financial Transparency System of the European Commission.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Up to the present day much effort has been made to publish government data on the Web. However, such data has been published in different formats. For any particular source and use (e.g. exploration, visualization, integration) of such information special applications have to be written. This limits the overall usability of the information provided and makes it diffcult to access information resources. These limitations can be overridden, if the information will be provided using a homogeneous data and access model complying with the Linked Data principles. In this paper we showcase how raw Open Government Data (OGD) from heterogeneous sources can be processed, converted, published and used on the Web of Linked Data. In particular we demonstrate our experience in processing of OGD on two use cases: the Digital Agenda Scoreboard and the Financial Transparency System of the European Commission. |
Hellmann, Sebastian; Lehmann, Jens; Unbehauen, Jörg; Stadler, Claus; Lam, Thanh Nghia; Strohmaier, Markus Navigation-Induced Knowledge Engineering by Example Inproceedings Semantic Technology, Second Joint International Conference, JIST
2012, Nara, Japan, December 2-4, 2012. Proceedings, pp. 207–222, Springer, 2012. Links | BibTeX @inproceedings{DBLP:conf/aswc/HellmannLUSLS12,
title = {Navigation-Induced Knowledge Engineering by Example},
author = {Sebastian Hellmann and
Jens Lehmann and
Jörg Unbehauen and
Claus Stadler and
Thanh Nghia Lam and
Markus Strohmaier},
url = {http://svn.aksw.org/papers/2012/JIST_NKE/public.pdf},
doi = {10.1007/978-3-642-37996-3_14},
year = {2012},
date = {2012-01-01},
booktitle = {Semantic Technology, Second Joint International Conference, JIST
2012, Nara, Japan, December 2-4, 2012. Proceedings},
volume = {7774},
pages = {207--222},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Unbehauen, Jörg; Stadler, Claus; Auer, Sören Accessing Relational Data on the Web with SparqlMap Inproceedings Semantic Technology, Second Joint International Conference, JIST
2012, Nara, Japan, December 2-4, 2012. Proceedings, pp. 65–80, Springer, 2012. Links | BibTeX @inproceedings{DBLP:conf/aswc/UnbehauenSA12,
title = {Accessing Relational Data on the Web with SparqlMap},
author = {Jörg Unbehauen and
Claus Stadler and
Sören Auer},
url = {http://svn.aksw.org/papers/2012/SPARQLComponent/JIST_SparqlMap/public.pdf},
doi = {10.1007/978-3-642-37996-3_5},
year = {2012},
date = {2012-01-01},
booktitle = {Semantic Technology, Second Joint International Conference, JIST
2012, Nara, Japan, December 2-4, 2012. Proceedings},
volume = {7774},
pages = {65--80},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Guéret, Christophe; Groth, Paul T; Stadler, Claus; Lehmann, Jens Assessing Linked Data Mappings Using Network Measures Inproceedings The Semantic Web: Research and Applications - 9th Extended Semantic
Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31,
2012. Proceedings, pp. 87–102, Springer, 2012. Links | BibTeX @inproceedings{DBLP:conf/esws/GueretGSL12,
title = {Assessing Linked Data Mappings Using Network Measures},
author = {Christophe Guéret and
Paul T. Groth and
Claus Stadler and
Jens Lehmann},
url = {http://jens-lehmann.org/files/2012/linked_mapping_qa.pdf},
doi = {10.1007/978-3-642-30284-8_13},
year = {2012},
date = {2012-01-01},
booktitle = {The Semantic Web: Research and Applications - 9th Extended Semantic
Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31,
2012. Proceedings},
volume = {7295},
pages = {87--102},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Unbehauen, Jörg; Hellmann, Sebastian; Auer, Sören; Stadler, Claus Knowledge Extraction from Structured Sources Incollection Search Computing - Broadening Web Search, 7538 , pp. 34–52, Springer, 2012. Links | BibTeX @incollection{DBLP:conf/seco/UnbehauenHAS12,
title = {Knowledge Extraction from Structured Sources},
author = {Jörg Unbehauen and
Sebastian Hellmann and
Sören Auer and
Claus Stadler},
url = {http://svn.aksw.org/papers/2012/SearchComputing_KnowledgeExtraction/public.pdf},
doi = {10.1007/978-3-642-34213-4_3},
year = {2012},
date = {2012-01-01},
booktitle = {Search Computing - Broadening Web Search},
volume = {7538},
pages = {34--52},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Auer, Sören; Bühmann, Lorenz; Dirschl, Christian; Erling, Orri; Hausenblas, Michael; Isele, Robert; Lehmann, Jens; Martin, Michael; Mendes, Pablo N; Nuffelen, Bert Van; Stadler, Claus; Tramp, Sebastian; Williams, Hugh Managing the Life-Cycle of Linked Data with the LOD2 Stack Inproceedings The Semantic Web - ISWC 2012 - 11th International Semantic Web Conference,
Boston, MA, USA, November 11-15, 2012, Proceedings, Part II, pp. 1–16, Springer, 2012. Links | BibTeX @inproceedings{DBLP:conf/semweb/AuerBDEHILMMNSTW12,
title = {Managing the Life-Cycle of Linked Data with the LOD2 Stack},
author = {Sören Auer and
Lorenz Bühmann and
Christian Dirschl and
Orri Erling and
Michael Hausenblas and
Robert Isele and
Jens Lehmann and
Michael Martin and
Pablo N. Mendes and
Bert Van Nuffelen and
Claus Stadler and
Sebastian Tramp and
Hugh Williams},
url = {http://svn.aksw.org/lod2/Paper/ISWC2012-InUse_LOD2-Stack/public.pdf},
doi = {10.1007/978-3-642-35173-0_1},
year = {2012},
date = {2012-01-01},
booktitle = {The Semantic Web - ISWC 2012 - 11th International Semantic Web Conference,
Boston, MA, USA, November 11-15, 2012, Proceedings, Part II},
volume = {7650},
pages = {1--16},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Morsey, Mohamed; Lehmann, Jens; Auer, Sören; Stadler, Claus; Hellmann, Sebastian DBpedia and the live extraction of structured data from Wikipedia Journal Article Program, 46 (2), pp. 157–181, 2012. Abstract | Links | BibTeX @article{DBLP:journals/program/MorseyLASH12,
title = {DBpedia and the live extraction of structured data from Wikipedia},
author = {Mohamed Morsey and
Jens Lehmann and
Sören Auer and
Claus Stadler and
Sebastian Hellmann},
url = {http://svn.aksw.org/papers/2011/DBpedia_Live/public.pdf},
doi = {10.1108/00330331211221828},
year = {2012},
date = {2012-01-01},
journal = {Program},
volume = {46},
number = {2},
pages = {157--181},
abstract = {Purpose - DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the Web using Linked Data and SPARQL. However, the DBpedia release process is heavy-weight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. Design/methodology/approach - Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of recently updated articles. DBpedia-Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia-Live publishes the newly added/deleted triples in files, in order to enable synchronization between our DBpedia endpoint and other DBpedia mirrors. Findings - During the realization of DBpedia-Live we learned, that it is crucial to process Wikipedia updates in a priority queue. Recently-updated Wikipedia articles should have the highest priority, over mapping-changes and unmodified pages. An overall finding is that there is a plenty of opportunities arising from the emerging Web of Data for librarians. Practical implications - DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia-Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up-to-date information. Originality/value - The new DBpedia-Live framework adds new features to the old DBpedia-Live framework, e.g. abstract extraction, ontology changes, and changesets publication.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose - DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the Web using Linked Data and SPARQL. However, the DBpedia release process is heavy-weight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. Design/methodology/approach - Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of recently updated articles. DBpedia-Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia-Live publishes the newly added/deleted triples in files, in order to enable synchronization between our DBpedia endpoint and other DBpedia mirrors. Findings - During the realization of DBpedia-Live we learned, that it is crucial to process Wikipedia updates in a priority queue. Recently-updated Wikipedia articles should have the highest priority, over mapping-changes and unmodified pages. An overall finding is that there is a plenty of opportunities arising from the emerging Web of Data for librarians. Practical implications - DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia-Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up-to-date information. Originality/value - The new DBpedia-Live framework adds new features to the old DBpedia-Live framework, e.g. abstract extraction, ontology changes, and changesets publication. |
Stadler, Claus; Lehmann, Jens; Höffner, Konrad; Auer, Sören LinkedGeoData: A core for a web of spatial open data Journal Article Semantic Web, 3 (4), pp. 333–354, 2012. Links | BibTeX @article{DBLP:journals/semweb/StadlerLHA12,
title = {LinkedGeoData: A core for a web of spatial open data},
author = {Claus Stadler and
Jens Lehmann and
Konrad Höffner and
Sören Auer},
url = {http://jens-lehmann.org/files/2012/linkedgeodata2.pdf},
doi = {10.3233/SW-2011-0052},
year = {2012},
date = {2012-01-01},
journal = {Semantic Web},
volume = {3},
number = {4},
pages = {333--354},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Hellmann, Sebastian; Stadler, Claus; Lehmann, Jens The German DBpedia: A Sense Repository for Linking Entities Incollection Linked Data in Linguistics - Representing and Connecting Language
Data and Language Metadata, pp. 181–190, Springer, 2012. Links | BibTeX @incollection{DBLP:books/daglib/p/HellmannSL12,
title = {The German DBpedia: A Sense Repository for Linking Entities},
author = {Sebastian Hellmann and
Claus Stadler and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-642-28249-2_17},
doi = {10.1007/978-3-642-28249-2_17},
year = {2012},
date = {2012-01-01},
booktitle = {Linked Data in Linguistics - Representing and Connecting Language
Data and Language Metadata},
pages = {181--190},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
2011
|
Guéret, Christophe; Groth, Paul; Stadler, Claus; Lehmann, Jens Linked Data Quality Assessment through Network Analysis Inproceedings ISWC 2011 Posters and Demos, 2011. Links | BibTeX @inproceedings{iswc-11-pd-linkqa,
title = {Linked Data Quality Assessment through Network Analysis},
author = {Christophe Guéret and Paul Groth and Claus Stadler and Jens Lehmann},
url = {http://jens-lehmann.org/files/2011/iswc_pd_linkqa.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {ISWC 2011 Posters and Demos},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shekarpour, Saeedeh; Auer, Sören; Ngomo, Axel-Cyrille Ngonga; Gerber, Daniel; Hellmann, Sebastian; Stadler, Claus Keyword-Driven SPARQL Query Generation Leveraging Background Knowledge Inproceedings Proceedings of the 2011 IEEE/WIC/ACM International Conference on
Web Intelligence, WI 2011, Campus Scientifique de la Doua, Lyon,
France, August 22-27, 2011, pp. 203–210, IEEE Computer Society, 2011. Links | BibTeX @inproceedings{DBLP:conf/webi/ShekarpourANGHS11,
title = {Keyword-Driven SPARQL Query Generation Leveraging Background Knowledge},
author = {Saeedeh Shekarpour and
Sören Auer and
Axel-Cyrille Ngonga Ngomo and
Daniel Gerber and
Sebastian Hellmann and
Claus Stadler},
url = {https://doi.org/10.1109/WI-IAT.2011.70},
doi = {10.1109/WI-IAT.2011.70},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the 2011 IEEE/WIC/ACM International Conference on
Web Intelligence, WI 2011, Campus Scientifique de la Doua, Lyon,
France, August 22-27, 2011},
pages = {203--210},
publisher = {IEEE Computer Society},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2010
|
Stadler, Claus; Martin, Michael; Lehmann, Jens; Hellmann, Sebastian Update Strategies for DBpedia Live Inproceedings Proceedings of the Sixth Workshop on Scripting and Development for
the Semantic Web, Crete, Greece, May 31, 2010, CEUR-WS.org, 2010. Abstract | Links | BibTeX @inproceedings{DBLP:conf/esws/StadlerMLH10,
title = {Update Strategies for DBpedia Live},
author = {Claus Stadler and
Michael Martin and
Jens Lehmann and
Sebastian Hellmann},
url = {http://ceur-ws.org/Vol-699/Paper5.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the Sixth Workshop on Scripting and Development for
the Semantic Web, Crete, Greece, May 31, 2010},
volume = {699},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
abstract = {Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update information in DBpedia. Due to the high number of edits and the growth of Wikipedia, the update process has to be very efficient and scalable. In this paper, we present different strategies to tackle this challenging problem and describe how we modified the DBpedia live extraction algorithm to work more efficiently.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update information in DBpedia. Due to the high number of edits and the growth of Wikipedia, the update process has to be very efficient and scalable. In this paper, we present different strategies to tackle this challenging problem and describe how we modified the DBpedia live extraction algorithm to work more efficiently. |
2009
|
Hellmann, Sebastian; Stadler, Claus; Lehmann, Jens; Auer, Sören DBpedia Live Extraction Inproceedings On the Move to Meaningful Internet Systems: OTM 2009, Confederated
International Conferences, CoopIS, DOA, IS, and ODBASE 2009, Vilamoura,
Portugal, November 1-6, 2009, Proceedings, Part II, pp. 1209–1223, Springer, 2009. Links | BibTeX @inproceedings{DBLP:conf/otm/HellmannSLA09,
title = {DBpedia Live Extraction},
author = {Sebastian Hellmann and
Claus Stadler and
Jens Lehmann and
Sören Auer},
url = {http://svn.aksw.org/papers/2009/ODBASE_LiveExtraction/dbpedia_live_extraction_public.pdf},
doi = {10.1007/978-3-642-05151-7_33},
year = {2009},
date = {2009-01-01},
booktitle = {On the Move to Meaningful Internet Systems: OTM 2009, Confederated
International Conferences, CoopIS, DOA, IS, and ODBASE 2009, Vilamoura,
Portugal, November 1-6, 2009, Proceedings, Part II},
volume = {5871},
pages = {1209--1223},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
PhD Student