Semantic Web Dog Food

Presented at: 5th International Semantic Web Conference (ISWC2006)

by Carlos Hurtado, Alexandra Poulovassilis, Peter Wood

We explore flexible querying of RDF data, with the aim of making it possible to return data satisfying query conditions with varying degrees of exactness, and also to rank the results of a query depending on how ``closely'' they satisfy the query conditions. We make queries more flexible by logical relaxation of their conditions based on the notion of RDF entailment, which naturally incorporates RDFS ontologies. We develop a notion of ranking of query answers, and present a query processing algorithm for incrementally computing the relaxed answer of a query. Our approach has application in scenarios where there is a lack of understanding of the ontology underlying the data, or where the data objects have heterogeneous sets of properties or irregular structures.

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2006/paper-19

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