Prof. Dr. Jens Lehmann

@inproceedings{DBLP:conf/esws/SherifNL17,

title = {Wombat - A Generalization Approach for Automatic Link Discovery},

author = {Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {http://svn.aksw.org/papers/2017/ESWC_WOMBAT/public.pdf},

doi = {10.1007/978-3-319-58068-5_7},

year  = {2017},

date = {2017-01-01},

booktitle = {The Semantic Web - 14th International Conference, ESWC 2017, Portorov z, Slovenia, May 28 - June 1, 2017, Proceedings, Part I},

volume = {10249},

pages = {103--119},

series = {Lecture Notes in Computer Science},

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/i-semantics/ThakkarKDLA17,

title = {Trying Not to Die Benchmarking: Orchestrating RDF and Graph Data 

Management Solution Benchmarks Using LITMUS},

author = {Harsh Thakkar and 

Yashwant Keswani and 

Mohnish Dubey and 

Jens Lehmann and 

Sören Auer},

url = {http://jens-lehmann.org/files/2017/semantics_litmus.pdf},

doi = {10.1145/3132218.3132232},

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 = {120--127},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icwe/AuerSVPCKLJESIA17,

title = {The BigDataEurope Platform - Supporting the Variety Dimension of Big Data},

author = {Sören Auer and 

Simon Scerri and 

Aad Versteden and 

Erika Pauwels and 

Angelos Charalambidis and 

Stasinos Konstantopoulos and 

Jens Lehmann and 

Hajira Jabeen and 

Ivan Ermilov and 

Gezim Sejdiu and 

Andreas Ikonomopoulos and 

Spyros Andronopoulos and 

Mandy Vlachogiannis and 

Charalambos Pappas and 

Athanasios Davettas and 

Iraklis A. Klampanos and 

Efstathios Grigoropoulos and 

Vangelis Karkaletsis and 

Victor de Boer and 

Ronald Siebes and 

Mohamed Nadjib Mami and 

Sergio Albani and 

Michele Lazzarini and 

Paulo Nunes and 

Emanuele Angiuli and 

Nikiforos Pittaras and 

George Giannakopoulos and 

Giorgos Argyriou and 

George Stamoulis and 

George Papadakis and 

Manolis Koubarakis and 

Pythagoras Karampiperis and 

Axel-Cyrille Ngonga Ngomo and 

Maria-Esther Vidal},

url = {http://jens-lehmann.org/files/2017/icwe_bde.pdf},

doi = {10.1007/978-3-319-60131-1_3},

year  = {2017},

date = {2017-01-01},

booktitle = {Web Engineering - 17th International Conference, ICWE 2017, Rome, 

Italy, June 5-8, 2017, Proceedings},

volume = {10360},

pages = {41--59},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {The management and analysis of large-scale datasets -- described with the term Big Data -- involves the three classic dimensions volume, velocity and variety. While the former two are well supported by a plethora of software components, the variety dimension is still rather neglected. We present the BDE platform -- an easy-to-deploy, easy-to-use and adaptable (cluster-based and standalone) platform for the execution of big data components and tools like Hadoop, Spark, Flink. The BDE platform was designed based upon the requirements gathered from the seven societal challenges put forward by the European Commission in the Horizon 2020 programme and targeted by the BigDataEurope pilots. As a result, the BDE platform allows to perform a variety of Big Data flow tasks like message passing (Kafka, Flume), storage (Hive, Cassandra) or publishing (GeoTriples). In order to facilitate the processing of heterogeneous data, a particular innovation of the platform is the semantic layer, which allows to directly process RDF data and to map and transform arbitrary data into RDF.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icwe/EstevesPLN17,

title = {Named Entity Recognition in Twitter Using Images and Text},

author = {Diego Esteves and 

Rafael Peres and 

Jens Lehmann and 

Giulio Napolitano},

url = {https://www.researchgate.net/publication/321897412_Bidirectional_LSTM_with_a_Context_Input_Window_for_Named_Entity_Recognition_in_Tweets},

doi = {10.1007/978-3-319-74433-9_17},

year  = {2017},

date = {2017-01-01},

booktitle = {Current Trends in Web Engineering - ICWE 2017 International Workshops, 

Liquid Multi-Device Software and EnWoT, practi-O-web, NLPIT, SoWeMine, 

Rome, Italy, June 5-8, 2017, Revised Selected Papers},

volume = {10544},

pages = {191--199},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/kcap/MaheshwariTSJDL17,

title = {SimDoc: Topic Sequence Alignment based Document Similarity Framework},

author = {Gaurav Maheshwari and 

Priyansh Trivedi and 

Harshita Sahijwani and 

Kunal Jha and 

Sourish Dasgupta and 

Jens Lehmann},

url = {http://jens-lehmann.org/files/2017/kcap_simdoc.pdf},

doi = {10.1145/3148011.3148016},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, 

TX, USA, December 4-6, 2017},

pages = {16:1--16:8},

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/kesw/ErmilovNVJSASJL17,

title = {Managing Lifecycle of Big Data Applications},

author = {Ivan Ermilov and 

Axel-Cyrille Ngonga Ngomo and 

Aad Versteden and 

Hajira Jabeen and 

Gezim Sejdiu and 

Giorgos Argyriou and 

Luigi Selmi and 

Jürgen Jakobitsch and 

Jens Lehmann},

url = {https://svn.aksw.org/papers/2017/KESW_BDE_Workflow/public.pdf},

doi = {10.1007/978-3-319-69548-8_18},

year  = {2017},

date = {2017-01-01},

booktitle = {Knowledge Engineering and Semantic Web - 8th International Conference, 

KESW 2017, Szczecin, Poland, November 8-10, 2017, Proceedings},

volume = {786},

pages = {263--276},

publisher = {Springer},

series = {Communications in Computer and Information Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/ConradsL0N17,

title = {Benchmarking RDF Storage Solutions with IGUANA},

author = {Felix Conrads and 

Jens Lehmann and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-1963/paper621.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/ConradsLSMN17,

title = {Iguana: A Generic Framework for Benchmarking the Read-Write Performance 

of Triple Stores},

author = {Felix Conrads and 

Jens Lehmann and 

Muhammad Saleem and 

Mohamed Morsey and 

Axel-Cyrille Ngonga Ngomo},

url = {https://svn.aksw.org/papers/2017/ISWC_Iguana/public.pdf},

doi = {10.1007/978-3-319-68204-4_5},

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 = {48--65},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

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{DBLP:conf/semweb/MaheshwariDTL17,

title = {How to Revert Question Answering on Knowledge Graphs},

author = {Gaurav Maheshwari and 

Mohnish Dubey and 

Priyansh Trivedi and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1963/paper604.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/MaroyDKMVLMH17,

title = {Sustainable Linked Data Generation: The Case of DBpedia},

author = {Wouter Maroy and 

Anastasia Dimou and 

Dimitris Kontokostas and 

Ben De Meester and 

Ruben Verborgh and 

Jens Lehmann and 

Erik Mannens and 

Sebastian Hellmann},

url = {http://jens-lehmann.org/files/2017/iswc_dbpedia_rml.pdf},

doi = {10.1007/978-3-319-68204-4_28},

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 = {297--313},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/MeesterDMKVLMH17,

title = {A Vocabulary-Independent Generation Framework for DBpedia and Beyond},

author = {Ben De Meester and 

Anastasia Dimou and 

Wouter Maroy and 

Dimitris Kontokostas and 

Ruben Verborgh and 

Jens Lehmann and 

Erik Mannens and 

Sebastian Hellmann},

url = {http://ceur-ws.org/Vol-1963/paper582.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/TrivediMDL17,

title = {LC-QAD: A Corpus for Complex Question Answering over Knowledge Graphs},

author = {Priyansh Trivedi and 

Gaurav Maheshwari and 

Mohnish Dubey and 

Jens Lehmann},

url = {http://jens-lehmann.org/files/2017/iswc_lcquad.pdf},

doi = {10.1007/978-3-319-68204-4_22},

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 = {210--218},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/LehmannACJBHHB17,

title = {LDOW2017: 10th Workshop on Linked Data on the Web},

author = {Jens Lehmann and 

Sören Auer and 

Sarven Capadisli and 

Krzysztof Janowicz and 

Christian Bizer and 

Tom Heath and 

Aidan Hogan and 

Tim Berners-Lee},

url = {http://jens-lehmann.org/files/2017/ldow_10th_workshop.pdf},

doi = {10.1145/3041021.3055510},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the 26th International Conference on World Wide Web 

Companion, Perth, Australia, April 3-7, 2017},

pages = {1679--1680},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/LukovnikovFLA17,

title = {Neural Network-based Question Answering over Knowledge Graphs on Word 

and Character Level},

author = {Denis Lukovnikov and 

Asja Fischer and 

Jens Lehmann and 

Sören Auer},

url = {http://jens-lehmann.org/files/2017/www_nn_factoid_qa.pdf},

doi = {10.1145/3038912.3052675},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the 26th International Conference on World Wide Web, 

WWW 2017, Perth, Australia, April 3-7, 2017},

pages = {1211--1220},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semco/MarxSSBSBWLNA17,

title = {Torpedo: Improving the State-of-the-Art RDF Dataset Slicing},

author = {Edgard Marx and 

Saeedeh Shekarpour and 

Tommaso Soru and 

Adrian M. P. Brasoveanu and 

Muhammad Saleem and 

Ciro Baron and 

Albert Weichselbraun and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo and 

Sören Auer},

url = {https://doi.org/10.1109/ICSC.2017.79},

doi = {10.1109/ICSC.2017.79},

year  = {2017},

date = {2017-01-01},

booktitle = {11th IEEE International Conference on Semantic Computing, ICSC 

2017, San Diego, CA, USA, January 30 - February 1, 2017},

pages = {149--156},

publisher = {IEEE Computer Society},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/EstevesMSNLND17,

title = {LOG4MEX: a library to export machine learning experiments},

author = {Diego Esteves and 

Diego Moussallem and 

Tommaso Soru and 

Ciro Baron Neto and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo and 

Julio Cesar Duarte},

url = {https://doi.org/10.1145/3106426.3106530},

doi = {10.1145/3106426.3106530},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the International Conference on Web Intelligence, Leipzig, 

Germany, August 23-26, 2017},

pages = {139--145},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ecai/BinBLN16,

title = {Towards SPARQL-Based Induction for Large-Scale RDF Data Sets},

author = {Simon Bin and 

Lorenz Bühmann and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo},

url = {http://svn.aksw.org/papers/2016/ECAI_SPARQL_Learner/public.pdf},

doi = {10.3233/978-1-61499-672-9-1551},

year  = {2016},

date = {2016-01-01},

booktitle = {ECAI 2016 - 22nd European Conference on Artificial Intelligence, 

29 August-2 September 2016, The Hague, The Netherlands - Including 

Prestigious Applications of Artificial Intelligence (PAIS 2016)},

volume = {285},

pages = {1551--1552},

publisher = {IOS Press},

series = {Frontiers in Artificial Intelligence and Applications},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ekaw/0001FLB16,

title = {Integrating New Refinement Operators in Terminological Decision Trees 

Learning},

author = {Giuseppe Rizzo and 

Nicola Fanizzi and 

Jens Lehmann and 

Lorenz Bühmann},

url = {http://jens-lehmann.org/files/2016/ekaw_terminological_decision_trees.pdf},

doi = {10.1007/978-3-319-49004-5_33},

year  = {2016},

date = {2016-01-01},

booktitle = {Knowledge Engineering and Knowledge Management - 20th International 

Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings},

volume = {10024},

pages = {511--526},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ekaw/HassanZMCL16,

title = {ACRyLIQ: Leveraging DBpedia for Adaptive Crowdsourcing in Linked Data 

Quality Assessment},

author = {Umair ul Hassan and 

Amrapali Zaveri and 

Edgard Marx and 

Edward Curry and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-319-49004-5_44},

doi = {10.1007/978-3-319-49004-5_44},

year  = {2016},

date = {2016-01-01},

booktitle = {Knowledge Engineering and Knowledge Management - 20th International 

Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings},

volume = {10024},

pages = {681--696},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/DubeyDSHL16,

title = {AskNow: A Framework for Natural Language Query Formalization in 

SPARQL},

author = {Mohnish Dubey and 

Sourish Dasgupta and 

Ankit Sharma and 

Konrad Höffner and 

Jens Lehmann},

url = {http://jens-lehmann.org/files/2016/eswc_asknow.pdf},

doi = {10.1007/978-3-319-34129-3_19},

year  = {2016},

date = {2016-01-01},

booktitle = {The Semantic Web. Latest Advances and New Domains - 13th International 

Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 

2016, Proceedings},

volume = {9678},

pages = {300--316},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/MarxZMRLNC16,

title = {DBtrends: Publishing and Benchmarking RDF Ranking Functions},

author = {Edgard Marx and 

Amrapali Zaveri and 

Mofeed Mohammed and 

Sandro Rautenberg and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo and 

Gong Cheng},

url = {http://ceur-ws.org/Vol-1605/paper5.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the 2nd International Workshop on Summarizing and Presenting 

Entities and Ontologies (SumPre 2016) co-located with the 13th Extended 

Semantic Web Conference (ESWC 2016), Anissaras, Greece, May 30, 

2016},

volume = {1605},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/EstevesMMDZL16,

title = {MEX Interfaces: Automating Machine Learning Metadata Generation},

author = {Diego Esteves and 

Pablo N. Mendes and 

Diego Moussallem and 

Julio Cesar Duarte and 

Amrapali Zaveri and 

Jens Lehmann},

url = {https://www.researchgate.net/publication/305143958_MEX_InterfacesAutomating_Machine_Learning_Metadata_Generation},

doi = {10.1145/2993318.2993320},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the 12th International Conference on Semantic Systems, 

SEMANTICS 2016, Leipzig, Germany, September 12-15, 2016},

pages = {17--24},

publisher = {ACM},

abstract = {Despite recent efforts to achieve a high level of interoperability of Machine Learning (ML) experiments, positively collaborating with the Reproducible Research context, we still run into the problems created due to the existence of different ML platforms: each of those have a specific conceptualization or schema for representing data and metadata. This scenario leads to an extra coding-effort to achieve both the desired interoperability and a better provenance level as well as a more automatized environment for obtaining the generated results. Hence, when using ML libraries, it is a common task to re-design specific data models (schemata) and develop wrappers to manage the produced outputs. In this article, we discuss this gap focusing on the solution for the question: ``What is the cleanest and lowest-impact solution to achieve both higher interoperability and provenance metadata levels in the Integrated Development Environments (IDE) context and how to facilitate the inherent data querying task?''. We introduce a novel and low impact methodology specifically designed for code built in that context, combining semantic web concepts and reflection in order to minimize the gap for exporting ML metadata in a structured manner, allowing embedded code annotations that are, in run-time, converted in one of the state-of-the-art ML schemas for the Semantic Web: the MEX Vocabulary.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/mtsr/MarxHSNLA16,

title = {Exploring Term Networks for Semantic Search over RDF Knowledge Graphs},

author = {Edgard Marx and 

Konrad Höffner and 

Saeedeh Shekarpour and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann and 

Sören Auer},

url = {https://www.researchgate.net/publication/309700280_Exploring_Term_Networks_for_Semantic_Search_over_RDF_Knowledge_Graphs},

doi = {10.1007/978-3-319-49157-8_22},

year  = {2016},

date = {2016-01-01},

booktitle = {Metadata and Semantics Research - 10th International Conference, MTSR 

2016, Göttingen, Germany, November 22-25, 2016, Proceedings},

volume = {672},

pages = {249--261},

series = {Communications in Computer and Information Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/ErmilovLMA16,

title = {LODStats: The Data Web Census Dataset},

author = {Ivan Ermilov and 

Jens Lehmann and 

Michael Martin and 

Sören Auer},

url = {http://svn.aksw.org/papers/2016/ISWC_LODStats_Resource_Description/public.pdf},

doi = {10.1007/978-3-319-46547-0_5},

year  = {2016},

date = {2016-01-01},

booktitle = {The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 

Kobe, Japan, October 17-21, 2016, Proceedings, Part II},

volume = {9982},

pages = {38--46},

series = {Lecture Notes in Computer Science},

abstract = {Over the past years, the size of the Data Web has increased significantly, which makes obtaining general insights into its growth and structure both more challenging and more desirable. The lack of such insights hinders important data management tasks such as quality, privacy and coverage analysis. In this paper, we present LODStats, which provides a comprehensive picture of the current state of a significant part of the Data Web. LODStats integrates RDF datasets from data.gov, publicdata.eu and datahub.io data catalogs and at the time of writing lists over 9 000 RDF datasets. For each RDF dataset, LODStats collects comprehensive statistics and makes these available in adhering to the LDSO vocabulary. This analysis has been regularly published and enhanced over the past four years at the public platform lodstats.aksw.org. We give a comprehensive overview over the resulting dataset.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/HoffnerLU16,

title = {CubeQA - Question Answering on RDF Data Cubes},

author = {Konrad Höffner and 

Jens Lehmann and 

Ricardo Usbeck},

url = {http://svn.aksw.org/papers/2016/ISWC_cubeqa/},

doi = {10.1007/978-3-319-46523-4_20},

year  = {2016},

date = {2016-01-01},

booktitle = {The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 

Kobe, Japan, October 17-21, 2016, Proceedings, Part I},

volume = {9981},

pages = {325--340},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SherifHSNL16,

title = {Lion's Den: feeding the LinkLion},

author = {Mohamed Ahmed Sherif and 

Mofeed M. Hassan and 

Tommaso Soru and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1766/om2016_poster5.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the 11th International Workshop on Ontology Matching 

co-located with the 15th International Semantic Web Conference (ISWC 

2016), Kobe, Japan, October 18, 2016},

volume = {1766},

pages = {235--236},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/KontokostasMDEL16,

title = {Semantically Enhanced Quality Assurance in the JURION Business Use 

Case},

author = {Dimitris Kontokostas and 

Christian Mader and 

Christian Dirschl and 

Katja Eck and 

Michael Leuthold and 

Jens Lehmann and 

Sebastian Hellmann},

url = {http://svn.aksw.org/papers/2016/ESWC_Jurion/public.pdf},

doi = {10.1007/978-3-319-34129-3_40},

year  = {2016},

date = {2016-01-01},

booktitle = {The Semantic Web. Latest Advances and New Domains - 13th International 

Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 

2016, Proceedings},

volume = {9678},

pages = {661--676},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/DimouKFVLMH16,

title = {DBpedia Mappings Quality Assessment},

author = {Anastasia Dimou and 

Dimitris Kontokostas and 

Markus Freudenberg and 

Ruben Verborgh and 

Jens Lehmann and 

Erik Mannens and 

Sebastian Hellmann},

url = {http://ceur-ws.org/Vol-1690/paper97.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located 

with 15th International Semantic Web Conference (ISWC 2016), Kobe, 

Japan, October 19, 2016},

volume = {1690},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{defactorest,

title = {DeFacto - A Multilingual Fact Validation Interface},

author = {René Speck and Diego Esteves and Jens Lehmann and Axel-Cyrille Ngonga Ngomo},

url = {http://jens-lehmann.org/files/2015/swc_defacto.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {14th International Semantic Web Conference (ISWC 2015), 11-15 October 2015, Bethlehem, Pennsylvania, USA (Semantic Web Challenge Proceedings)},

abstract = {The curation of a knowledge base is a key task for ensuring the correctness and traceability of the knowledge provided in the said knowledge. This task is often carried out manually by human curators, who attempt to provide reliable facts and their respective sources in a three-step process: issuing appropriate keywordsqueries for the fact to check using standard search engines, retrieving potentially relevant documents and screening those documents for relevant content. However, this process is very time-consuming, mainly due to the human curators having to scrutinize the web pages retrieved by search engines. This demo paper demonstrate the RESTful implementation for DeFacto (Deep Fact Validation) ???????? an approach able to validate facts in RDF by finding trustworthy sources for them on the Web. DeFacto aims to support the validation of facts by supplying the user with (1) relevant excerpts of web pages as well as (2) useful additional information including (3) a score for the confidence DeFacto has in the correctness of the input fact. To achieve this goal, DeFacto collects and combines evidence from web pages written in several languages. We also provide an extension for finding similar resources obtained from the Linked Data, using the sameas.org service as backend. In addition, DeFacto provides support for facts with a temporal scope, i.e., it can estimate the time frame within which a fact was valid.},

note = {Semantic Web Challenge, International Semantic Web Conference 2015},

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/esws/SherifNL15,

title = {Automating RDF Dataset Transformation and Enrichment},

author = {Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {http://svn.aksw.org/papers/2015/ESWC_DEER/public.pdf},

doi = {10.1007/978-3-319-18818-8_23},

year  = {2015},

date = {2015-01-01},

booktitle = {The Semantic Web. Latest Advances and New Domains - 12th European 

Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 - 

June 4, 2015. Proceedings},

volume = {9088},

pages = {371--387},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Currently, this problem is most commonly addressed by manually devising means of enriching an input dataset. The few tools that aim at supporting this endeavour usually focus on supporting the manual definition of enrichment pipelines. In this paper, we present a supervised learning approach based on a refinement operator for enriching RDF datasets. We show how we can use exemplary descriptions of enriched resources to generate accurate enrichment pipelines. We evaluate our approach against eight manually defined enrichment pipelines and show that our approach can learn accurate pipelines even when provided with a small number of training examples.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/BothWGHL15,

title = {The GeoKnow Generator Workbench - An Integrated Tool Supporting the 

Linked Data Lifecycle for Enterprise Usage},

author = {Andreas Both and 

Matthias Wauer and 

Alejandra Garc{'i}a-Rojas and 

Daniel Hladky and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1481/paper28.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 = {92--95},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/ErmilovHLM15,

title = {kOre: Using Linked Data for OpenScience Information Integration},

author = {Ivan Ermilov and 

Konrad Hoeffner and 

Jens Lehmann and 

Dmitry Mouromtsev},

url = {http://ceur-ws.org/Vol-1481/paper22.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 = {67--70},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

abstract = {While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities' internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}