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Artificial Intelligence for Knowledge Management First IFIP WG 12.6 International Workshop, AI4KM 2012, Held in Conjunction with ECAI 2012, Montpellier, France, August 28, 2012 |
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Conference papers
The Status Quo of Ontology Learning from Unstructured Knowledge Sources for Knowledge Management
Abstract : In the global race for competitive advantage Knowledge Management gains increasing importance for companies. The purposeful and systematic creation, maintenance, and transfer of unstructured knowledge sources demands for advanced Information Technology. Ontologies constitute a basic ingredient of Knowledge Management; thus, ontology learning from unstructured knowledge sources is of particular interest since it bears the potential to bring significant advantages for Knowledge Management. This paper presents a study of state-of-the-art research of ontology learning from unstructured knowledge sources for Knowledge Management. Nine approaches for ontology learning from unstructured knowledge sources are identified from a systematic review of literature. A six point classification framework is developed. The review results are analyzed, synthesized, and discussed to give an account of the current state-of-the-art for contributing to an enhanced understanding of ontology learning from unstructured knowledge sources for Knowledge Management.
Cited literature [34 references]
https://hal.archives-ouvertes.fr/hal-01256586
Contributor : Hal Ifip <>
Submitted on : Friday, January 15, 2016 - 9:36:07 AM
Last modification on : Tuesday, May 3, 2016 - 5:06:15 PM
Document(s) archivé(s) le : Saturday, April 16, 2016 - 10:20:28 AM
Contributor : Hal Ifip <>
Submitted on : Friday, January 15, 2016 - 9:36:07 AM
Last modification on : Tuesday, May 3, 2016 - 5:06:15 PM
Document(s) archivé(s) le : Saturday, April 16, 2016 - 10:20:28 AM
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