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  Integrating YAGO into the Suggested Upper Merged Ontology

de Melo, G., Suchanek, F., & Pease, A. (2008). Integrating YAGO into the Suggested Upper Merged Ontology. In 20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2008: proceedings. - Vol. 1 (pp. 190-193). Los Alamitos, Ca.: IEEE Computer Society.

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 Urheber:
de Melo, Gerard1, Autor           
Suchanek, Fabian1, Autor           
Pease, Adam, Autor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Schlagwörter: -
 Zusammenfassung: Ontologies are becoming more and more popular as background knowledge for intelligent applications. Up to now, there has been a schism between manually assembled, highly axiomatic ontologies and large, automatically constructed knowledge bases. This paper discusses how the two worlds can be brought together by combining the high-level axiomatizations from the Standard Upper Merged Ontology (SUMO) with the extensive world knowledge of the YAGO ontology. The result is a new large-scale formal ontology, which provides information about millions of entities such as people, cities, organizations, and companies.

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Sprache(n): eng - English
 Datum: 2009-03-232008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: Los Alamitos, Ca. : IEEE Computer Society
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 428029
DOI: 10.1109/ICTAI.2008.34
URI: http://www.mpi-inf.mpg.de/~gdemelo/papers/yagosumo.pdf
Anderer: Local-ID: C125756E0038A185-E1A746938929FE92C12574FE005E6BEF-deMeloSuchanekPease2008
 Art des Abschluß: -

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Titel: Untitled Event
Veranstaltungsort: Dayton, OH, USA
Start-/Enddatum: 2008-11-03 - 2008-11-05

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Quelle 1

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Titel: 20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2008 : proceedings. - Vol. 1
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos, Ca. : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 190 - 193 Identifikator: ISBN: 978-0-7695-3440-4