@inproceedings{9787c77e897047ee8ab0850d6a8ce0a2,
title = "How NAGA uncoils: Searching with entities and relations",
abstract = "Current keyword-oriented search engines for theWorld WideWeb do not allow specifying the semantics of queries. We address this limitation with NAGA 1, 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.",
keywords = "Entities, Graph queries, Knowledge base, Ranking, Relation, Search, Semantics",
author = "Gjergji Kasneci and Suchanek, \{Fabain M.\} and Maya Ramanath and Gerhard Weikum",
year = "2007",
month = oct,
day = "22",
doi = "10.1145/1242572.1242748",
language = "English",
isbn = "1595936548",
series = "16th International World Wide Web Conference, WWW2007",
pages = "1167--1168",
booktitle = "16th International World Wide Web Conference, WWW2007",
note = "16th International World Wide Web Conference, WWW2007 ; Conference date: 08-05-2007 Through 12-05-2007",
}