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  NAGA: Harvesting, Searching and Ranking Knowledge

Kasneci, G., Suchanek, F., Ifrim, G., Elbassuoni, S., Ramanath, M., & Weikum, G. (2008). NAGA: Harvesting, Searching and Ranking Knowledge. In D. Shasha, & J. T. L. Wang (Eds.), Proceedings of the ACM SIGMOD 2008 International Conference on Management of Data (pp. 1285-1288). New York, NY: ACM.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1C5E-E Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1C5F-C
Genre: Konferenzbeitrag

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Urheber

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 Urheber:
Kasneci, Gjergji1, Autor           
Suchanek, Fabian1, Autor           
Ifrim, Georgiana1, Autor           
Elbassuoni, Shady1, 2, Autor           
Ramanath, Maya1, Autor           
Weikum, Gerhard1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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Schlagwörter: -
 Zusammenfassung: The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet more expressive than those provided by standard keyword-based search engines. Searching for explicit knowledge needs to consider inherent semantic structures involving entities and relationships. In this demonstration proposal, we describe a semantic search system named NAGA. NAGA operates on a knowledge graph, which contains millions of entities and relationships derived from various encyclopedic Web sources, such as the ones above. NAGA's graph-based query language is geared towards expressing queries with additional semantic information. Its scoring model is based on the principles of generative language models, and formalizes several desiderata such as confidence, informativeness and compactness of answers. We propose a demonstration of NAGA which will allow users to browse the knowledge base through a user interface, enter queries in NAGA's query language and tune the ranking parameters to test various ranking aspects.

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Sprache(n): eng - English
 Datum: 2009-03-252008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: New York, NY : ACM
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 428119
DOI: 10.1145/1376616.1376756
URI: http://doi.acm.org/10.1145/1376616.1376756
Anderer: Local-ID: C125756E0038A185-4A8AB89923A75C75C12574DE00335AB2-Kasneci@sigmod2008
 Art des Abschluß: -

Veranstaltung

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Titel: Untitled Event
Veranstaltungsort: Vancouver, Canada 2008
Start-/Enddatum: 2008-06-10 - 2008-06-12

Entscheidung

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Quelle 1

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Titel: Proceedings of the ACM SIGMOD 2008 International Conference on Management of Data
Genre der Quelle: Konferenzband
 Urheber:
Shasha, Dennis, Herausgeber
Wang, Jason T. L., Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1285 - 1288 Identifikator: ISBN: 978-1-60558-102-6