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OBCAS - An Ontology-Based Cluster Analysis System

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Research in Systems Analysis and Design: Models and Methods (SIGSAND/PLAIS 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 93))

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Abstract

The main objective of the paper is to present the OBCAS - an ontology-based cluster analysis system that was implemented in Java. The system takes as an input the data described by an ontology, allows the user to choose individuals, and produces the similarity matrix. The core component of this system is a module that counts three kinds of similarity measures: taxonomy, relationship and attribute. The current outcome of the system is an aggregate similarity matrix that can be further processed by any statistical package.

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Author information

Authors and Affiliations

  1. Department of Computational Systems, Cracow University of Economics, Rakowicka 27, 31-510, Krakow, Poland

    Janusz Tuchowski, Katarzyna Wójcik & Paweł Lula

  2. Department of Computer Science, Cracow University of Economics, Rakowicka 27, 31-510, Krakow, Poland

    Grażyna Paliwoda-Pękosz

Authors
  1. Janusz Tuchowski
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  2. Katarzyna Wójcik
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  3. Paweł Lula
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  4. Grażyna Paliwoda-Pękosz
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Editor information

Editors and Affiliations

  1. Department of Business Informatics, University of Gdansk, ul. Piaskowa 9, 81-864, Sopot, Poland

    Stanisław Wrycza

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© 2011 Springer-Verlag Berlin Heidelberg

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Tuchowski, J., Wójcik, K., Lula, P., Paliwoda-Pękosz, G. (2011). OBCAS - An Ontology-Based Cluster Analysis System. In: Wrycza, S. (eds) Research in Systems Analysis and Design: Models and Methods. SIGSAND/PLAIS 2011. Lecture Notes in Business Information Processing, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25676-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-25676-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25675-2

  • Online ISBN: 978-3-642-25676-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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