Flink: Semantic Web technology for the extraction and analysis of social networks

  • Authors:
  • Peter Mika

  • Affiliations:
  • Department of Computer Science, Vrije Universiteit Amsterdam (VUA), De Boelelaan 1081, 1081HV Amsterdam, The Netherlands

  • Venue:
  • Web Semantics: Science, Services and Agents on the World Wide Web
  • Year:
  • 2005

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Abstract

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.