An Expert Recommendation System using Ontology-based Social Network Analysis
Sang-Won Park, Eunjeong Choi, Minsu Park, Jeong‐Gyu Kim, Eun-Seok Seo, Young-Tack Park · 2009
The semantic web-based social network is highly useful in a variety of areas. In this paper we make diverse analyses of the FOAF-based social network, and propose an expert recommendation system. This system presents useful method of ontology-based social network using SparQL, RDFS inference, and visualization tools. Then we apply it to real social network in order to make various analyses of centrality, small world, scale free, etc. Moreover, our system suggests method for analysis of an expert on specific field. We expect such method to be utilized in multifarious areas - marketing, group administration, knowledge management system, and so on.