Ontology-Based Genetic Fuzzy Agent for Meeting Scheduling System

Author

Lee, Chang-Shing ; Jian, Zhi-Wei ; Hsieh, Tung-Cheng

Author_Institution

Dept. of Inf. Manage., Chang Jung Christian Univ., Tainan

fYear

2005

fDate

25-25 May 2005

Firstpage

331

Lastpage

335

Abstract

An ontology-based genetic fuzzy agent for meeting scheduling system (MSS) is proposed in this paper. The genetic fuzzy agent uses a meeting scheduling ontology and a set of fuzzy personal ontologies for supporting a meeting host to select a suitable meeting time for the meeting invitees. The meeting scheduling ontology is utilized to record and describe the meeting scheduling domain knowledge for the genetic fuzzy agent. The genetic fuzzy agent uses the meeting scheduling ontology with meeting information and the fuzzy personal ontology to infer the suitable time slots. The meeting host can decide the final meeting time and announce the decision based on the MSS and various platforms, including PDA, cell phone, notebook, or desk computer. Furthermore, the genetic fuzzy agent adjusts the fuzzy personal ontology for the next meeting. The experimental results show that our approach can effectively work for MSS

Keywords

fuzzy set theory; genetic algorithms; office automation; ontologies (artificial intelligence); scheduling; software agents; fuzzy personal ontologies; fuzzy set theory; genetic algorithms; genetic fuzzy agent; meeting scheduling domain knowledge; meeting scheduling ontology; meeting scheduling system; office automation; software agents; Cellular phones; Computer science; Fuzzy sets; Fuzzy systems; Genetics; Information management; Intelligent agent; Ontologies; Personal digital assistants; Processor scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Conference_Location

Reno, NV

Print_ISBN

0-7803-9159-4

Type

conf

DOI

10.1109/FUZZY.2005.1452415

Filename

1452415