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Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology

Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology
Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology
The amount of knowledge accessible on the Semantic Web is growing, and there is a need for a scalable solution to facilitate exploring that data. Currently approaches to exploring Semantic Web data either focus on exploring resources individually, following links during exploration, and making little use of collated data, or take the approach of collating and aligning multiple sources into one store for one purpose, and hand-crafting a specific browsing interface onto it. We present an approach that provides a scalable browsing interface, which can browse knowledge from the Semantic Web at will. Our approach creates abstractions of knowledge, collated into facets, which are described using FacetOntology. FacetOntology facilitates descibing facets from RDF data, suitable for use in creating datasets for faceted browsing.
s.n.
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f

Smith, Daniel Alexander and schraefel, mc (2008) Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology s.n.

Record type: Monograph (Project Report)

Abstract

The amount of knowledge accessible on the Semantic Web is growing, and there is a need for a scalable solution to facilitate exploring that data. Currently approaches to exploring Semantic Web data either focus on exploring resources individually, following links during exploration, and making little use of collated data, or take the approach of collating and aligning multiple sources into one store for one purpose, and hand-crafting a specific browsing interface onto it. We present an approach that provides a scalable browsing interface, which can browse knowledge from the Semantic Web at will. Our approach creates abstractions of knowledge, collated into facets, which are described using FacetOntology. FacetOntology facilitates descibing facets from RDF data, suitable for use in creating datasets for faceted browsing.

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More information

Accepted/In Press date: 2008
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 267054
URI: http://eprints.soton.ac.uk/id/eprint/267054
PURE UUID: 52b24d9f-9c9a-4954-942a-e59c7bdd8fae

Catalogue record

Date deposited: 22 Jan 2009 14:24
Last modified: 18 Jul 2017 07:08

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Contributors

Author: Daniel Alexander Smith
Author: mc schraefel

University divisions

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