Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology
Smith, Daniel Alexander and schraefel, mc (2008) Interactively using Semantic Web knowledge: Creating scalable abstractions with FacetOntology.
- Submitted Version
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 speciﬁc 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.
|Item Type:||Monograph (Technical Report)|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||22 Jan 2009 14:24|
|Last Modified:||09 Jun 2012 15:26|
|Contributors:||Smith, Daniel Alexander (Author)
schraefel, mc (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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