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Ontology learning from text: A look back and into the future

Published: 07 September 2012 Publication History

Abstract

Ontologies are often viewed as the answer to the need for interoperable semantics in modern information systems. The explosion of textual information on the Read/Write Web coupled with the increasing demand for ontologies to power the Semantic Web have made (semi-)automatic ontology learning from text a very promising research area. This together with the advanced state in related areas, such as natural language processing, have fueled research into ontology learning over the past decade. This survey looks at how far we have come since the turn of the millennium and discusses the remaining challenges that will define the research directions in this area in the near future.

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cover image ACM Computing Surveys
ACM Computing Surveys  Volume 44, Issue 4
August 2012
318 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/2333112
Issue’s Table of Contents
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2012
Accepted: 01 March 2011
Revised: 01 February 2011
Received: 01 October 2010
Published in CSUR Volume 44, Issue 4

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Author Tags

  1. Ontology learning
  2. application of ontologies
  3. concept discovery
  4. semantic relation acquisition
  5. term recognition

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