EKOSS: A Knowledge-User Centered Approach to Knowledge Sharing, Discovery, and Integration on the Semantic Web

  • Steven Kraines
  • Weisen Guo
  • Brian Kemper
  • Yutaka Nakamura
Conference paper

DOI: 10.1007/11926078_60

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4273)
Cite this paper as:
Kraines S., Guo W., Kemper B., Nakamura Y. (2006) EKOSS: A Knowledge-User Centered Approach to Knowledge Sharing, Discovery, and Integration on the Semantic Web. In: Cruz I. et al. (eds) The Semantic Web - ISWC 2006. ISWC 2006. Lecture Notes in Computer Science, vol 4273. Springer, Berlin, Heidelberg

Abstract

The scientific enterprise depends on the effective transfer of knowledge from creator to user. Recently the rate of scientific knowledge production is overwhelming the ability for researchers to process it. Semantic web technologies may help to handle this vast amount of scientific knowledge. However, automatic computerized techniques that extract semantics from natural language text for use in matching with the requests of knowledge seekers achieve only mediocre results. Clearly, semantic descriptions of expert knowledge that are constructed by the knowledge creators themselves will be more accurate. We report an approach and software implementation of a knowledge sharing platform based on semantic web technologies, called EKOSS for expert knowledge ontology-based semantic search, that helps knowledge creators construct semantic descriptions of their knowledge. The EKOSS system enables knowledge creators to construct computer-interpretable semantically rich statements describing their knowledge with minimal effort and without any knowledge of semantic web technologies.

Keywords

semantic search knowledge sharing inference ontology 

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Steven Kraines
    • 1
  • Weisen Guo
    • 2
    • 1
  • Brian Kemper
    • 1
  • Yutaka Nakamura
    • 1
  1. 1.Division of Project Coordination of the University of TokyoTokyoJapan
  2. 2.Inst. of Systems Eng. of Dalian University of TechnologyDalianChina

Personalised recommendations