@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}