How NAGA uncoils: searching with entities and relations

Authors:
Gjergji Kasneci;Fabain M. Suchanek;Maya Ramanath;Gerhard Weikum
Affiliations:
Max-Planck-Institut für Informatik;Max-Planck-Institut für Informatik;Max-Planck-Institut für Informatik;Max-Planck-Institut für Informatik
Venue:
Proceedings of the 16th international conference on World Wide Web
Year:
2007

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Abstract

Current keyword-oriented search engines for theWorld WideWeb do not allow specifying the semantics of queries. We address this limitation with NAGA1, a new semantic search engine. NAGA builds on a large semantic knowledge base of binary relationships (facts) derived from the Web. NAGA provides a simple, yet expressive query language to query this knowledge base. The results are then ranked with an intuitive scoring mechanism. We show the effectiveness and utility of NAGA by comparing its output with that of Googleon some interesting queries.