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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2005: Knowledge-Based Intelligent Information and Engineering Systems pp 177–183Cite as

Effective Information Sharing Using Concept Mapping

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

In this paper, we propose a concept mapping method that can be used to find relations among concepts of different ontology. In order to find the relevant relation, this method uses three kinds of knowledge types such as lexical knowledge, domain knowledge and structure information. When the relations are retrieved, each relation is evaluated by comparing instances of each concept which is involved in that relation. With this method, the concept of one ontology can be mapped to other concept of the other ontology, which enables information sharing.

This research is supported by the ubiquitous Autonomic Computing and Network Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea

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Author information

Authors and Affiliations

  1. Graduate School of Information and Communication, Ajou University, Suwon, Korea

    Keonsoo Lee

  2. College of Electronics and Information Engineering, Sejong University, Seoul, Korea

    Wonil Kim & Minkoo Kim

Authors
  1. Keonsoo Lee
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  2. Wonil Kim
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  3. Minkoo Kim
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, K., Kim, W., Kim, M. (2005). Effective Information Sharing Using Concept Mapping. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_26

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  • DOI: https://doi.org/10.1007/11553939_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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