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Web Semantics: Science, Services and Agents on the World Wide Web, Vol. 3, No. 2-3. (October 2005), pp. 211-223, doi:10.1016/j.websem.2005.05.006 Key: citeulike:463235
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We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.
The author proposes an approach to extract social information about researchers who has participated at the International Semantic Web Conferences. The researchers profile information and the social network is based on the analysis of web pages, emails, publications and self-created profiles. The extracted information are represented using FOAF ontology.
Information about researchers interests are used to build an ontology for the semantic web community.
A key question is of security and privacy (analyzing researchers' emails, etc..)
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- 2011-02-28 15:33:01
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