FacetOntology: Expressive Descriptions of Facets in the Semantic Web
FacetOntology: Expressive Descriptions of Facets in the Semantic Web
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.
Smith, Daniel A.
8d05522d-e91e-4aa7-8972-e362e73f005c
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
4 December 2012
Smith, Daniel A.
8d05522d-e91e-4aa7-8972-e362e73f005c
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Smith, Daniel A. and Shadbolt, Nigel R.
(2012)
FacetOntology: Expressive Descriptions of Facets in the Semantic Web.
JIST2012: Joint International Semantic Technology Conference, Nara, Japan.
Record type:
Conference or Workshop Item
(Paper)
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.
Text
paper.pdf
- Author's Original
More information
Published date: 4 December 2012
Venue - Dates:
JIST2012: Joint International Semantic Technology Conference, Nara, Japan, 2012-12-04
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 345363
URI: http://eprints.soton.ac.uk/id/eprint/345363
PURE UUID: 3629e7ca-532a-43d0-901a-7dbc475ae08d
Catalogue record
Date deposited: 19 Nov 2012 17:20
Last modified: 14 Mar 2024 12:24
Export record
Contributors
Author:
Daniel A. Smith
Author:
Nigel R. Shadbolt
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics