How NAGA uncoils: searching with entities and relations

Current keyword-oriented search engines for the World Wide Web 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 Google on some interesting queries. Categories and Subject Descriptors: H.3.3 [Information Search and Retrieval]: General General Terms: Graph Queries, Knowledge Base, Semantic Search

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath, Gerhard Weikum
• Keywords: Expressive Query Language, Internet Technology, Semantic Knowledge Base, Semantic Search Engine, WWW 2007