Abstract | ||
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Publishing interlinked RDF datasets as links between data items identied using dereferenceable URIs on the web brings forward a number of issues. A key challenge is to understand the data, the schema, and the interlinks that are actually used both within and across linked datasets. Understanding actual RDF usage is critical in the increasingly common situations where terms from dierent vocabularies are mixed. In this demonstration we present a tool, ExpLOD, that sup- ports exploring summaries of RDF usage and interlinking among datasets from the Linked Open Data cloud. ExpLOD's sum- maries are based on a novel mechanism that combines text labels and bisimulation contractions. The labels assigned to resources in RDF graphs are hierarchical, enabling summarization at dif- ferent granularities. The bisimulation contractions are applied to subgraphs dened via queries, providing for summarization of arbitrary large or small graph neighbourhoods. Our tool also generates SPARQL queries from summaries. |
Year | Venue | Keywords |
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2010 | LDOW | linked open data |
Field | DocType | Citations |
Automatic summarization,Information retrieval,Computer science,Linked data,SPARQL,Bisimulation,Schema (psychology),RDF Schema,RDF,Cloud computing | Conference | 6 |
PageRank | References | Authors |
0.52 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shahan Khatchadourian | 1 | 102 | 8.57 |
Mariano P. Consens | 2 | 1203 | 387.78 |