Ontology Learning

Philipp Cimiano (), Alexander Mädche (), Steffen Staab () and Johanna Völker ()
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Philipp Cimiano: University of Karlsruhe
Alexander Mädche: SAP AG
Steffen Staab: University of Koblenz-Landau
Johanna Völker: University of Karlsruhe

A chapter in Handbook on Ontologies, 2009, pp 245-267 from Springer

Abstract: Summary Ontology learning techniques serve the purpose of supporting an ontology engineer in the task of creating and maintaining an ontology. In this chapter, we present a comprehensive and concise introduction to the field of ontology learning. We present a generic architecture for ontology learning systems and discuss its main components. In addition, we introduce the main problems and challenges addressed in the field and give an overview of the most important methods applied. We conclude with a brief discussion of advanced issues which pose interesting challenges to the state-of-the-art.

Keywords: Inductive Logic Programming; Formal Concept Analysis; Concept Hierarchy; Ontology Engineering; Pointwise Mutual Information (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-540-92673-3_11

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DOI: 10.1007/978-3-540-92673-3_11

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