Knowledge modeling, management and utilization towards next generation web

Yutaka Kidawara, Koji Zettsu, Yasushi Kiyoki, Kai Jannaschk, Bernhard Thalheim, Petri Linna, Hannu Jaakkola, Marie Duží

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Nowadays, large amounts of Web contents are being distributed on the Internet. Conventional search engines are not useful for analyzing the relations between related knowledge since a number of Web contents may indicate a similar concept by different words. Users search Web pages for different purposes, such as for education, for accessing information on current affairs, or for gaining knowledge.We believe that the next-generation Web connects each page with not only conventional hyper links but also knowledge links. The knowledge link has to be created by novel knowledge processing technologies. The technologies consist of knowledge gathering, storage, and delivery technologies. In this study, we discuss novel knowledge modeling, management, distribution, and analysis technologies. All these technologies are essential to build the next-generation Web, named Knowledge Web.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXI
PublisherIOS Press
Pages387-402
Number of pages16
ISBN (Print)9781607500896
DOIs
Publication statusPublished - 2010 Jan 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume206
ISSN (Print)0922-6389

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Keywords

  • Agent
  • Distributed knowledge
  • Global risk management
  • Knowledge Web
  • Knowledge grid
  • Model-driven development
  • Reasoning
  • TIL

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Kidawara, Y., Zettsu, K., Kiyoki, Y., Jannaschk, K., Thalheim, B., Linna, P., Jaakkola, H., & Duží, M. (2010). Knowledge modeling, management and utilization towards next generation web. In Information Modelling and Knowledge Bases XXI (pp. 387-402). (Frontiers in Artificial Intelligence and Applications; Vol. 206). IOS Press. https://doi.org/10.3233/978-1-60750-477-1-387