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Tytuł artykułu

Ontology Creation Process in Knowledge Management Support System for a Research Institute

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Języki publikacji
EN
Abstrakty
EN
Though the issue of knowledge management is a hot subject of interest in nowadays market companies, integrated solutions fit to the specific needs of research institutes still require more attention. This paper documents a part of the research activities performed at National Institute of Telecommunications, related to development of research institute knowledge management support system. The ideas lying in the background of the system come from the recent theories of knowledge creation and creativity support and from experience with everyday practice of knowledge management in market companies. Main focus is put here on the issue of creation of a research topics ontology that is meant to be a semantic backbone of the system. Three-stage approach is proposed, aiming at the construction of ontologies for different levels of organizational hierarchy, from individual researcher, through group or unit, up to the whole institute. Created ontologies are linked to knowledge resources and support diverse activities performed at those levels.
Rocznik
Tom
Strony
47--53
Opis fizyczny
Bibliogr. 22 poz., tab.
Twórcy
autor
Bibliografia
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  • [11] O. Corcho, “Ontology based document annotation: trends and open research problems”, Int. J. Metadata Semant. Ontol., vol. 1, no. 1, pp. 47–57, 2006.
  • [12] “A survey of ontology learning methods and techniques”, A. Gomez- P´erez and D. Manzano-Macho, Eds. OntoWeb Deliverable D1.5, Universidad Polit´ecnica de Madrid, 2003.
  • [13] P. Buitelaar, P. Cimiano, and B. Magnini, Ontology Learning from Text: An Overview. Frontiers in Artificial Intelligence and Applications Series. Amsterdam: IOS Press, 2005, vol. 123.
  • [14] C. Biemann, “Ontology learning from text: a survey of methods”, LDV-Forum, vol. 20, no. 2, pp. 75–93, 2005.
  • [15] J. U. Kietz, R. Volz, and A. Maedche, “A method for semiautomatic ontology acquisition from a corporate intranet”, in Proceedings EKAW-2000 Workshop “Ontologies and Text”, Juan-Les- Pins, France, October 2000, LNAI, vol. 1937. Berlin: Springer, 2000.
  • [16] J. U. Kietz, R. Volz, and A. Maedche, “Extracting a domain-specific ontology from a corporate intranet”, in Proceedings of the Fourth Conference on Computational Natural Language Learning and of the Second Learning Language in Logic Workshop, Lisbon, 2000, C. Cardie, W. Daelemans, and C. N´edellec, Eds. New Jersey: Association for Computational Linguistics, 2000, pp. 167–175.
  • [17] B. Fortuna, M. Grobelnik, and D. Mladenic, “Semi-automatic data- driven ontology construction system”, in Proc. 9th Int. Multi-Conf. Inform. Soc., Ljubljana, Slovenia, 2006.
  • [18] R. Agrawal, T. Imielinski, and A. N. Swami, “Mining association rules between sets of items in large databases”, in Proc. 1993 ACM SIGMOD Int. Conf. Manage. Data, P. Buneman and S. Jajodia, Eds. Washington, USA, 1993, pp. 207–216.
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  • [20] M. Ehrig, Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond). New York: Springer, 2006.
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  • [22] N. T. Nguyen, Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing). New York, Secaucus: Springer, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0004-0042
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