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A Data-Driven Approach to Constructing an Ontological Concept Hierarchy Based on the Formal Concept Analysis

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

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Abstract

An ontology is a formal, explicit specification of a domain. An important benefit of using an ontology during software development is that it enables the developer to reuse and share application domain knowledge using a common vocabulary across heterogeneous software platforms and programming languages. One of the most important components of ontologies is concept hierarchy, which models the information on the domain of interest in terms of concepts and subsumption relationships between them. However, it is extremely difficult and time-consuming for human experts to discover concepts and construct concept hierarchies from the domain.

In this paper we introduce Formal Concept Analysis(FCA) as the basis for a practical and well founded methodological approach to the construction of concept hierarchy. We present a semi-automatic tool, FCAwizard, to support the concept hierarchy construction. Based on the FCAwizard, we are now exploring a data-driven approach to construct medical ontologies from some medical data contained in clinical documents. We discuss the basic ideas of our work and its current state as well as the problems encountered and future directions.

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Author information

Authors and Affiliations

  1. Digital Enterprise Research Institute, Seoul National University, Division of Computer and Information Science, SunMoon University, 100 Kal-San-Ri, Tang-Jeong-Myon, A-San, Chung-Nam, 336-840, Korea

    Suk-Hyung Hwang

  2. Digital Enterprise Research Institute, Seoul National University, 28-22 Yeonkun-Dong, Chongno-Ku, Seoul, 110-749, Korea

    Hong-Gee Kim & Myeng-Ki Kim

  3. Division of Computer and Information Science, SunMoon University, 100 Kal-San-Ri, Tang-Jeong-Myon, A-San, Chung-Nam, 336-840, Korea

    Sung-Hee Choi

  4. Graduate School of Venture, Hoseo University, 29-1 Se-Chul-Ri, Bae-Bang-Myon, A-San, Chung-Nam, 336-795, Korea

    Hae-Sool Yang

Authors
  1. Suk-Hyung Hwang
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  2. Hong-Gee Kim
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  3. Myeng-Ki Kim
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  4. Sung-Hee Choi
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  5. Hae-Sool Yang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Hwang, SH., Kim, HG., Kim, MK., Choi, SH., Yang, HS. (2006). A Data-Driven Approach to Constructing an Ontological Concept Hierarchy Based on the Formal Concept Analysis. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_101

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  • DOI: https://doi.org/10.1007/11751632_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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