Application Framework Based on Topic Maps

  • Motomu Naito
  • Frederic Andres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3873)

Abstract

One of the most interesting aspects of subject-centric information processing as services is the relationship between resources and subjects. Especially Topic Maps and Published Subjects are core elements of the infrastructure of relationship management. This paper proposes an Application Framework based on Topic Maps. The Application Framework will make possible to realize subject-centric processing. Furthermore in the framework, we can express the semantic distance between topics based on a relationship cost between two nodes of the Topic Map. This paper also introduces some challenges such as software development process and semantic management. Finally, we will overview the on-going on development of the Application Framework to manage those subjects.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Pepper, S.: The TAO of Topic Maps: Finding the Way in the Age of Infoglut, http://www.ontopia.net/topicmaps/materials/tao.html
  2. 2.
    Pepper, S., Schwab, S.: Curing the Web’s Identity Crisis: Subject Indicators for RDF, http://www.ontopia.net/topicmaps/materials/identitycrisis.html
  3. 3.
    Mizoguchi, R.: Science of Intelligence: Ontology Engineering, Ohmsha ISBN4-274-20017-5Google Scholar
  4. 4.
    Garshol, L.M.: TMRAP - Topic Maps Remote Access Protocol, http://www.informatik.uni-leipzig.de/~tmra05/PRES/LMGa.pdf
  5. 5.
    Ahmed, K.: TMShare - Topic Map Fragment Exchang. In: a Peer-To-Peer Application, http://www.techquila.com/topicmapster.html
  6. 6.
    Barta, R.: TMIP, Topic Map Interaction Protocol 0.3, Specification, http://astma.it.bond.edu.au/tmip-specification.dbk
  7. 7.
    Barta, R., Garshol, L.M.: Topic Map Query Language (TMQL), http://www.isotopicmaps.org/tmql/
  8. 8.
    Garshol, L.M.: Metadata? Thesauri? Taxonomies? Topic Maps: Making sense of it all!, http://www.ontopia.net/topicmaps/materials/tm-vs-thesauri.html
  9. 9.
    Ontopia: The Ontopia Knowledge Suite, http://www.ontopia.net/solutions/products.html
  10. 10.
  11. 11.
    TM4J Project: TM4J - Topic Maps For Java, http://tm4j.sourceforge.net/
  12. 12.
    Winston-Salem State University: TOPIC MAPS 4 E-LEARNING, http://compsci.wssu.edu/iis/NSDL/
  13. 13.
    Bayesia: Bayesian Network, http://www.bayesia.com/
  14. 14.
    Andres, F., Naito, M.: Dynamic Topic Mapping Using Latent Semantic Indexing. In: IEEE International Conference on Information Technology and Applications Sydney, July 4-7, pp. 220–225 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Motomu Naito
    • 1
  • Frederic Andres
    • 2
  1. 1.Knowledge Synergy Inc.SaitamaJapan
  2. 2.National Institute of InformaticsTokyoJapan

Personalised recommendations