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Poster

How NAGA Uncoils: Searching with Entities and Relations

MPG-Autoren
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Kasneci,  Gjergji
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Suchanek,  Fabian
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Ramanath,  Maya
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Zitation

Kasneci, G., Suchanek, F., Ramanath, M., & Weikum, G. (2007). How NAGA Uncoils: Searching with Entities and Relations. Poster presented at WWW 2007, Banff, Alberta, Canada.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0019-B5AC-A
Zusammenfassung
Current keyword-oriented search engines for theWorld Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA}, 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.