A distributed IR model based on semantic web

  • Authors:

  • Pei-guang Lin;Xiao-zhong Fan;Ru-zhi Xu;Hai-yan Kang

  • Affiliations:

  • School of Computer & Information Engineering, Shandong University of Finance, Jinan, P.R China;School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P.R China;School of Computer & Information Engineering, Shandong University of Finance, Jinan, P.R China;Department of Computer Information System, Beijing Information Science & Technology University, Beijing, P.R China

  • Venue:
  • ASWC'06 Proceedings of the First Asian conference on The Semantic Web
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Most of the current information retrieval methods are mainly based on keywords matching, and they can not understand the meaning of the keywords Though some researches have proposed the methods based on domain ontology, it is difficult to implement the general IR because different ontology bases are heterogeneous Aiming at the questions above, a distributed IR model based on semantic web services (D-IRSW) is proposed This model puts different Semantic Retrieval Service (SRS) on special ontology base and the results returned by SRS are processed by Semantic Retrieval Service Engine (SRSE) Experiment shows that this model can improve the precision and recall of IR obviously.