A genetic fuzzy agent using ontology model for meeting scheduling system

  • Authors:

  • Chang-Shing Lee;Chun-Chih Jiang;Tung-Cheng Hsieh

  • Affiliations:

  • Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, ROC;Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, ROC;Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, ROC

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2006

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Abstract

A Genetic Fuzzy Agent (GFA) using the ontology model for Meeting Scheduling System (MSS) is presented in this paper. The ontology model includes the Fuzzy Meeting Scheduling Ontology (FMSO) and the Fuzzy Personal Ontology (FPO) that can support to construct the knowledge base of the GFA. The FMSO is utilized to record and describe the meeting scheduling domain knowledge for the GFA. In addition, we implement a FMSO editor for generating the Web Ontology Language, OWL, that will be utilized by the GFA. Furthermore, the GFA will infer the suitable meeting time slots based on the ontology model. Moreover, it also adjusts the FMSO and FPO based on the results of the genetic learning mechanism for the next meeting. The experimental results show that our approach can effectively work for MSS.