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International Conference on Web Information Systems Engineering

WISE 2004: Web Information Systems – WISE 2004 Workshops pp 211–220Cite as

Applying Database Semantics to the WWW

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3307))

Abstract

Today’s search engines build their indices on the basis of document mark-up in XML and significant letter sequences (words) occurring in the document texts. There are some drawbacks, however: the XML mark-up requires skill as well as tedious work from the user posting the document, and the indexing based on significant word distributions, though automatic and highly effective, is not as precise as required by many applications.

As a complement to current methods, this paper presents an automatic content analysis of texts which is based on traditional linguistic methods in conjunction with a comparatively new data structure ([6]) and algorithm ([3]). Having already presented the formal definitions elsewhere, we aim here at illustrating the system in action, based on an ongoing implementation in JAVA.

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References

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Author information

Authors and Affiliations

  1. Abteilung Computerlinguistik (CLUE), Universität Erlangen-Nürnberg,  

    Roland Hausser

Authors
  1. Roland Hausser
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Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., 95134, San Jose, CA, USA

    Christoph Bussler

  2. Division of Business & Economics, Dankook University, Seoul, Korea

    Suk-ki Hong

  3. Dept. of Computer Education, Seoul National University of Education, Seoul, Korea

    Woochun Jun

  4. School of Engineering and Advanced Technology, Massey University, New Zealand

    Roland Kaschek

  5. Department of Information Systems, Massey University, Palmerston North, New Zealand

    Kinshuk

  6. Caulfield School of Information Technology, Monash University, VIC 3145, Caulfield East, Australia

    Shonali Krishnaswamy

  7. Department of Computer Science and Computer Engineering, La Trobe University, Australia

    Seng Wai Loke

  8. Institute AIFB, University of Karlsruhe, Germany

    Daniel Oberle

  9. Computing Department, Division of Information and Communication Sciences, Macquarie University, 2109, Sydney, NSW, Australia

    Debbie Richards

  10. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA

    Amit Sharma

  11. SAP AG,  

    York Sure

  12. Institute of Computer Science and Applied Mathematics, Christian-Albrechts-University of Kiel, Olshausenstr. 40, 24098, Kiel, Germany

    Bernhard Thalheim

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© 2004 Springer-Verlag Berlin Heidelberg

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Hausser, R. (2004). Applying Database Semantics to the WWW. In: Bussler, C., et al. Web Information Systems – WISE 2004 Workshops. WISE 2004. Lecture Notes in Computer Science, vol 3307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30481-4_21

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  • DOI: https://doi.org/10.1007/978-3-540-30481-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23892-8

  • Online ISBN: 978-3-540-30481-4

  • eBook Packages: Springer Book Archive

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