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 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.