UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Automatic extraction of social networks by topics of interest
International Journal of Computer Applications in Technology
Research paper title evaluation for reaching new audiences
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Exploiting macro and micro relations toward web intelligence
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Social link recommendation by learning hidden topics
Proceedings of the fifth ACM conference on Recommender systems
An overview of web mining in education
Proceedings of the 17th Panhellenic Conference on Informatics
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In a ubiquitous computing environment, it is desirable to provide a user with information depending on a user's situation, such as time, location, user behavior, and social context. At conventions, such as academic conferences and exhibitions, where participants must register in advance, the social context of participants can be extracted from the Web using their names and af.liations without asking the participants many questions. In this paper, we attempt to extract the social network of participants from the Web, where a node represents a participant and an edge represents the relationship of two participants. Each edge is added using the number of pages retrieved by a search engine which include both participants names. Moreover, each edge has a label such as "co-authors" and "members of the sameproject" by applying classi.cation rules to the page content. We show an example of the extracted network and make a preliminary evaluation. This network can be used in manyinformation services, such as finding an appropriate introducer or negotiater, and who one should talk to in order to efficiently expand his/her network.