A Paper Recommendation Mechanism for the Research Support System Papits
DEEC '05 Proceedings of the International Workshop on Data Engineering Issues in E-Commerce
POLYPHONET: an advanced social network extraction system from the web
Proceedings of the 15th international conference on World Wide Web
Social Networks and the Semantic Web (Semantic Web and Beyond)
Social Networks and the Semantic Web (Semantic Web and Beyond)
Discovering Associations among Semantic Links
WISM '09 Proceedings of the 2009 International Conference on Web Information Systems and Mining
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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Social network services, such as Facebook and Twitter, have recently received great attention. Previous research on social networks has focused on its architecture, that is, the existence of a path between persons in the network. Many studies have analyzed the factors affecting the architecture of the social network. However, studies on the semantic association in the network are rare. Extracting various types of relationships among people that exist in a real society is necessary for future business and social studies. We propose an ontology-based social network extraction method based on inference. A new method to compute the strength of a association among entities is suggested. Using the proposed method, a new social network is extracted. Empirical experiments are performed to apply the proposed method. The new method can be used to extract a social network from associations among entities in an ontology-based knowledge base.