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FacetOntology: Expressive Descriptions of Facets in the Semantic Web

  • Daniel A. Smith
  • Nigel R. Shadbolt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7774)

Abstract

The formal structure of the information on the Semantic Web lends itself to faceted browsing, an information retrieval method where users can filter results based on the values of properties (“facets”). Numerous faceted browsers have been created to browse RDF and Linked Data, but these systems use their own ontologies for defining how data is queried to populate their facets. Since the source data is the same format across these systems (specifically, RDF), we can unify the different methods of describing how to query the underlying data, to enable compatibility across systems, and provide an extensible base ontology for future systems. To this end, we present FacetOntology, an ontology that defines how to query data to form a faceted browser, and a number of transformations and filters that can be applied to data before it is shown to users. FacetOntology overcomes limitations in the expressivity of existing work, by enabling the full expressivity of SPARQL when selecting data for facets. By applying a FacetOntology definition to data, a set of facets are specified, each with queries and filters to source RDF data, which enables faceted browsing systems to be created using that RDF data.

Keywords

Regular Expression Classical Music SPARQL Query Digital Repository Information Retrieval Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Daniel A. Smith
    • 1
  • Nigel R. Shadbolt
    • 1
  1. 1.Web and Internet Science Research Group, Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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