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An interactive ontology learning workbench for non-experts

Published: 30 October 2008 Publication History

Abstract

Ontologies are an integral part of Knowledge and Information Management systems and there is increased interest in using ontologies for organizational memory. Ontology learning workbenches are used for semi-automatic learning of ontologies from representative text collections. This paper presents a new interactive workbench that gives the users more freedom in their ontology engineering process and frees them from knowing any ontology language syntax. The workbench is implemented as part of a search project, in which ontologies are used to search for movie information on the web. New techniques are steadily being added to the workbench, though early testing has already confirmed the validity of the ontology learning approach.

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Cited By

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  • (2015)An Automatic and Clause-Based Approach to Learn Relations for OntologiesThe Computer Journal10.1093/comjnl/bxv07159:6(889-907)Online publication date: 2-Sep-2015
  • (2014)State-of-the-Art: Semantics Acquisition and CrowdsourcingSemantic Acquisition Games10.1007/978-3-319-06115-3_2(9-33)Online publication date: 11-Apr-2014

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cover image ACM Conferences
ONISW '08: Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
October 2008
124 pages
ISBN:9781605582559
DOI:10.1145/1458484
  • General Chair:
  • Ramez Elmasri,
  • Program Chairs:
  • Martin Doerr,
  • Mathias Brochhausen,
  • Hyoil Han
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 30 October 2008

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Author Tags

  1. ontologies
  2. ontology learning
  3. semantic web
  4. text mining

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CIKM08
CIKM08: Conference on Information and Knowledge Management
October 30, 2008
California, Napa Valley, USA

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Cited By

View all
  • (2015)An Automatic and Clause-Based Approach to Learn Relations for OntologiesThe Computer Journal10.1093/comjnl/bxv07159:6(889-907)Online publication date: 2-Sep-2015
  • (2014)State-of-the-Art: Semantics Acquisition and CrowdsourcingSemantic Acquisition Games10.1007/978-3-319-06115-3_2(9-33)Online publication date: 11-Apr-2014

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