On Faceted Search over Knowledge Bases
Authors: Bernardo Cuenca Grau, Evgeny Kharlamov, Dmitriy Zheleznyakov, Marcelo Arenas and Sarunas Marciuska
Paper Information
| Title: | On Faceted Search over Knowledge Bases |
| Authors: | Bernardo Cuenca Grau, Evgeny Kharlamov, Dmitriy Zheleznyakov, Marcelo Arenas and Sarunas Marciuska |
| Proceedings: | DL 2014 Proceedings |
| Editors: | Meghyn Bienvenu, Riccardo Rosati, Magdalena Ortiz and Mantas Simkus |
| Keywords: | Faceted search, Visual query formulation interface, RDF, OWL, reasoning |
| Abstract: | ABSTRACT. An increasing number of applications are relying on RDF format for storing data, on OWL ontologies to enhance the data with semantics, and SPARQL for accessing the data. SPARQL, however, is not targeted towards end-users, and suitable query interfaces are needed. Faceted search is a prominent approach for end-user data access, and in this paper we discuss how this approach can be applied to RDF and OWL. We implemented our ideas in a proof of concept prototype, SemFacet, and a preliminary evaluation of the system is encouraging. |
| Pages: | 4 |
| Talk: | Jul 19 11:45 |
| Paper: |  |