Smith, Daniel Alexander and schraefel, mc
Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology s.n.
- Author's Original
The amount of knowledge accessible on the Semantic Web is growing, and there is a need for a scalable solution to facili- tate exploring that data. Currently approaches to exploring Semantic Web data either focus on exploring resources in- dividually, 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 speci?c browsing interface onto it. We present an approach that provides a scalable browsing inter- face, which can browse knowledge from the Semantic Web at will. Our approach creates abstractions of knowledge, col- lated into facets, which are described using FacetOntology. FacetOntology facilitates descibing facets from RDF data, suitable for use in creating datasets for faceted browsing.
||Agents, Interactions & Complexity
||22 Jan 2009 14:24
||17 Apr 2017 18:54
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