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Assessing Semantic Quality of Web Directory Structure

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Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

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Abstract

The administration of a Web directory content and associated structure is a labor intensive task performed by human domain experts. Because of that there always exists a realistic risk of the structure becoming unbalanced, uneven and difficult to use to all except for a few users proficient in a particular Web directory. These problems emphasize the importance of generic and objective measures of Web directories structure quality. In this paper we demonstrate how to formally merge Web directories into the Semantic Web vision. We introduce a set of objective criterions for evaluation of a Web directory’s structure quality. Some criteria functions are based on heuristics while others require the application of ontologies.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR, 10000, Zagreb, Croatia

    Marko Horvat, Gordan Gledec & Nikola Bogunović

Authors
  1. Marko Horvat
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  2. Gordan Gledec
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  3. Nikola Bogunović
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Centre for Complex Software Systems and Services, Swinburne University of Technology, Hawthorn, P.O. Box 218, 3122, Victoria, Australia

    Ryszard Kowalczyk

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, G#43, Sec. 4, Keelung Rd, 106, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Horvat, M., Gledec, G., Bogunović, N. (2009). Assessing Semantic Quality of Web Directory Structure. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_33

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  • DOI: https://doi.org/10.1007/978-3-642-04441-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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