LOD Lab: Scalable Linked Data Processing

With tens if not hundreds of billions of logical statements, the Linked Open Data (LOD) is one of the biggest knowledge bases ever built. As such it is a gigantic source of information for applications in various domains, but also given its size an ideal test-bed for knowledge representation and reasoning, heterogeneous nature, and complexity.

[1]  Andreas Harth,et al.  Weaving the Pedantic Web , 2010, LDOW.

[2]  Stefan Schlobach,et al.  LOD Lab: Experiments at LOD Scale , 2015, International Semantic Web Conference.

[3]  Yuzhong Qu,et al.  An Empirical Study of Vocabulary Relatedness and Its Application to Recommender Systems , 2011, International Semantic Web Conference.

[4]  Jens Lehmann,et al.  LODStats - An Extensible Framework for High-Performance Dataset Analytics , 2012, EKAW.

[5]  Michel Dumontier,et al.  Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data , 2013, ESWC.

[6]  Stefan Schlobach,et al.  LOD Laundromat: A Uniform Way of Publishing Other People's Dirty Data , 2014, SEMWEB.

[7]  Yuzhong Qu,et al.  Object Link Structure in the Semantic Web , 2010, ESWC.

[8]  Vasilis Efthymiou,et al.  Entity resolution in the web of data , 2013, Entity Resolution in the Web of Data.

[9]  Jens Lehmann,et al.  Linked Open Data Statistics: Collection and Exploitation , 2013, KESW.

[10]  Axel Polleres,et al.  Binary RDF representation for publication and exchange (HDT) , 2013, J. Web Semant..

[11]  Heiko Paulheim,et al.  Adoption of the Linked Data Best Practices in Different Topical Domains , 2014, SEMWEB.

[12]  Hugh Glaser,et al.  Consuming Multiple Linked Data Sources: Challenges and Experiences , 2010, COLD.

[13]  Rik Van de Walle,et al.  Querying Datasets on the Web with High Availability , 2014, SEMWEB.

[14]  Michael Hausenblas,et al.  Describing linked datasets with the VoID vocabulary , 2011 .

[15]  Jürgen Umbrich,et al.  SPARQL Web-Querying Infrastructure: Ready for Action? , 2013, SEMWEB.

[16]  Jürgen Umbrich,et al.  An empirical survey of Linked Data conformance , 2012, J. Web Semant..

[17]  Jürgen Umbrich,et al.  LDspider: An Open-source Crawling Framework for the Web of Linked Data , 2010, SEMWEB.

[18]  Ruben Verborgh,et al.  Linked Data-as-a-Service: The Semantic Web Redeployed , 2015, ESWC.

[19]  Frank van Harmelen,et al.  A Compact In-Memory Dictionary for RDF Data , 2015, ESWC.

[20]  Eetu Mäkelä,et al.  Aether - Generating and Viewing Extended VoID Statistical Descriptions of RDF Datasets , 2014, ESWC.