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Thesis

Automated Construction and Growth of a Large Ontology

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

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Citation

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


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1A8C-1
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.