Ontology-Based Expertise Finding

被引:0
|
作者
Fazel-Zarandi, Maryam [1 ]
Yu, Eric [2 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A1, Canada
[2] Univ Toronto, Fac Informat Sci, Toronto, ON M5S 1A1, Canada
来源
PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT, PROCEEDINGS | 2008年 / 5345卷
关键词
Expertise Finding Systems; Ontologies; Agent-Oriented Modeling;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To accomplish knowledge intensive tasks, people in organizations must be able to find the knowledge or information needed to solve complex problems. For this, people often rely on their past experiences, explicit documents, and others who have the needed expertise. Knowledge Management Systems that enhance and facilitate the process of finding the fight expert in an organization have gained much attention in recent years. This paper explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would have on the goals of the stakeholders. This paper also discusses the organizational settings required for the Successful deployment of the system in practice.
引用
收藏
页码:232 / +
页数:3
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