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Automatic Ontology Evolution in Open and Dynamic Computing Environments

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6423))

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Abstract

Automated computing in open and dynamic computing environments requires automatic update and revision of the Knowledge Bases (KBs) to keep the KBs up to date with the dynamics in the environment and correct incorrect knowledge held in the KBs respectively. Furthermore, the truthfulness, applicability and validity of this knowledge depend on the context under which the knowledge is to be used. This then calls for the development of solutions to enable KBs to (i) be evolved over time enabling them to keep up to date with the evolving world or changes in the world’s conceptualisation, (ii) allow situational reasoning, and (iii) reasoning under uncertain, incomplete and inconsistent knowledge. The emerging fielding of probabilistic ontologies is impregnated with promises to resolve such issues. However, an investigation on how such knowledge representations can be objectively and rationally evolved is needed. This paper presents issues, methods and ideas towards rational probabilistic ontology evolution in open and dynamic computing environments.

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Authors and Affiliations

  1. Centre for Mobile e-Service for Development, University of Zululand, RSA

    Edgar Jembere, Sibusiso S. Xulu & Matthew O. Adigun

Authors
  1. Edgar Jembere
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  2. Sibusiso S. Xulu
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  3. Matthew O. Adigun
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Jembere, E., Xulu, S.S., Adigun, M.O. (2010). Automatic Ontology Evolution in Open and Dynamic Computing Environments. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16696-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-16696-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16695-2

  • Online ISBN: 978-3-642-16696-9

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