Find the Best to Share
Mingwei Yuan, Ping Jiang, Jian Wu · 2006
In a virtual enterprise, how to find the best expert to share their experience and information is an important way to improve work efficiency. Semantic matching provides a basic technique to solve this problem. In this paper, semantic matching is measured by a semantic attractive force model, which is based on a domain ontology, and semantic distance computation is a core problem in semantic matching. The depth of ontology tree is considered when computing semantic distance then an agent could account semantic attractive force of optional information and chooses the best matching information to share with each other