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  NAGA: Searching and Ranking Knowledge

Kasneci, G., Suchanek, F., Ifrim, G., Ramanath, M., & Weikum, G. (2008). NAGA: Searching and Ranking Knowledge. In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE'08) (pp. 953-962). Piscataway, NJ: IEEE.

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 Urheber:
Kasneci, Gjergji1, Autor           
Suchanek, Fabian1, Autor           
Ifrim, Georgiana1, Autor           
Ramanath, Maya1, Autor           
Weikum, Gerhard1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Schlagwörter: -
 Zusammenfassung: The Web has the potential to become the world’s largest knowledge base. In order to unleash this potential, the wealth of information available on the Web needs to be extracted and organized. There is a need for new querying techniques that are simple and yet more expressive than those provided by standard keyword-based search engines. Searching for knowledge rather than Web pages needs to consider inherent semantic structures like entities (person, organization, etc.) and relationships (isA, locatedIn, etc.). In this paper, we propose NAGA, a new semantic search engine. NAGA builds on a knowledge base, which is organized as a graph with typed edges, and consists of millions of entities and relationships extracted from Web-based corpora. A graph-based query language enables the formulation of queries with additional semantic information. We introduce a novel scoring model, based on the principles of generative language models, which formalizes several notions like confidence, informativeness and compactness and uses them to rank query results. We demonstrate NAGA’s superior result quality over state-of-the-art search engines and question answering systems.

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Sprache(n): eng - English
 Datum: 2009-03-252008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Piscataway, NJ : IEEE
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 428120
DOI: 10.1109/ICDE.2008.4497504
URI: http://dx.doi.org/10.1109/ICDE.2008.4497504
Anderer: Local-ID: C125756E0038A185-AA494DEE40F6325FC1257373004BED2F-Kasneci2008ICDE
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Cancun, Mexico
Start-/Enddatum: 2008-04-07 - 2008-04-12

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Titel: Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (ICDE'08)
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 953 - 962 Identifikator: ISBN: 978-1-4244-1836-7