%0 Journal Article %1 shahan2010explod %A Khatchadourian, Shahan %A Consens, Mariano %D 2010 %J The Semantic Web: Research and Applications %K exploration interlinking knowledge rdf semantic web %P 272--287 %T ExpLOD: Summary-Based Exploration of Interlinking and RDF Usage in the Linked Open Data Cloud %U http://dx.doi.org/10.1007/978-3-642-13489-0_19 %X Publishing interlinked RDF datasets as links between data items identified using dereferenceable URIs on the web brings forwarda number of issues. A key challenge is to understand the data, the schema, and the interlinks that are actually used bothwithin and across linked datasets. Understanding actual RDF usage is critical in the increasingly common situations where terms from different vocabularies are mixed. In this paper we describea tool, ExpLOD, that supports exploring summaries of RDF usage and interlinking among datasets from the Linked Open Data cloud.ExpLOD’s summaries are based on a novel mechanism that combines text labels and bisimulation contractions. The labels assignedto RDF graphs are hierarchical, enabling summarization at different granularities. The bisimulation contractions are appliedto subgraphs defined via queries, providing for summarization of arbitrary large or small graph neighbourhoods. Also, ExpLODcan generate SPARQL queries from a summary. Experimental results, using several collections from the Linked Open Data cloud,compare the two summary creation approaches implemented by ExpLOD (graph-based vs. SPARQL-based).

@article{shahan2010explod, abstract = {Publishing interlinked RDF datasets as links between data items identified using dereferenceable URIs on the web brings forwarda number of issues. A key challenge is to understand the data, the schema, and the interlinks that are actually used bothwithin and across linked datasets. Understanding actual RDF usage is critical in the increasingly common situations where terms from different vocabularies are mixed. In this paper we describea tool, ExpLOD, that supports exploring summaries of RDF usage and interlinking among datasets from the Linked Open Data cloud.ExpLOD’s summaries are based on a novel mechanism that combines text labels and bisimulation contractions. The labels assignedto RDF graphs are hierarchical, enabling summarization at different granularities. The bisimulation contractions are appliedto subgraphs defined via queries, providing for summarization of arbitrary large or small graph neighbourhoods. Also, ExpLODcan generate SPARQL queries from a summary. Experimental results, using several collections from the Linked Open Data cloud,compare the two summary creation approaches implemented by ExpLOD (graph-based vs. SPARQL-based).}, added-at = {2010-06-17T09:44:05.000+0200}, author = {Khatchadourian, Shahan and Consens, Mariano}, biburl = {https://www.bibsonomy.org/bibtex/2a46947c99e6e49101427fce5159fdb59/niccip}, description = {SpringerLink - Buchkapitel}, interhash = {488f1d8deb393d566e8ad6daf1bd15d3}, intrahash = {a46947c99e6e49101427fce5159fdb59}, journal = {The Semantic Web: Research and Applications}, keywords = {exploration interlinking knowledge rdf semantic web}, pages = {272--287}, timestamp = {2010-06-17T09:44:05.000+0200}, title = {ExpLOD: Summary-Based Exploration of Interlinking and RDF Usage in the Linked Open Data Cloud}, url = {http://dx.doi.org/10.1007/978-3-642-13489-0_19}, year = 2010 }