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  Automated Construction and Growth of a Large Ontology

Suchanek, F. (2009). Automated Construction and Growth of a Large Ontology. PhD Thesis, Universität des Saarlandes, Saarbrücken.

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2008_Fabian_Suchanek_Diss.pdf (Any fulltext), 3MB
 
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 Creators:
Suchanek, Fabian1, 2, Author           
Weikum, Gerhard1, Advisor           
Studer, Rudi3, Referee
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              
3External Organizations, ou_persistent22              

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 Abstract: An ontology is a computer-processable collection of knowledge about the world. This thesis explains how an ontology can be constructed and expanded automatically. The proposed approach consists of three contributions: \begin{enumerate} \item A core ontology, YAGO.\\ YAGO is an ontology that has been constructed automatically. It combines high accuracy with large coverage and serves as a core that can be expanded. \item A tool for information extraction, \leila.\\ \leila\ is a system that can extract knowledge from natural language texts. \leila\ will be used to find new facts for YAGO. \item An integration mechanism, SOFIE.\\ SOFIE is a system that can reason on the plausibility of new knowledge. SOFIE will assess the facts found by \leila\ and integrate them into YAGO. \end{enumerate} Each of these components comes with a fully implemented system. Together, they form an integrative architecture, which does not only gather new facts, but also reconcile them with the existing facts. The result is an ever-growing, yet highly accurate ontological knowledge base. A survey of applications of the ontology completes the thesis.

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Language(s): eng - English
 Dates: 2009-03-032008-12-1920082009
 Publication Status: Issued
 Pages: -
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428323
Other: Local-ID: C125756E0038A185-88F087968BD86FD3C125755C0057599D-Suchanek2008
 Degree: PhD

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