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GEEK: Analyzing Online Communities for Expertise Information
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Author(s): Lian Shi (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain), Diego Berrueta (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain), Sergio Fernández (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain), Luis Polo (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain), Iván Mínguez (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain), Emilio Rubiera (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain)and Silvino Fernández (Parque Científico Tecnológico de Gijón Edificio Centros Tecnológicos, Spain)
Copyright: 2011
Pages: 24
Source title:
Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena
Source Author(s)/Editor(s): Ben Kei Daniel (University of Saskatchewan, Canada)
DOI: 10.4018/978-1-60960-040-2.ch002
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Abstract
Finding experts over the Web using semantics has recently received increased attention, especially its application to enterprise management. This scenario introduces many novel challenges to the Web of Data. Gathering Enterprise Expertise Knowledge (GEEK) is a research project which fosters the adoption of Semantic Web technologies within the enterprise environment. GEEK has produced a prototype that demonstrates how to extract and infer expertise by taking into account people’s participation in various online communities (forums and projects). The reuse and interlinking of existing, well-established vocabularies in the areas of person description (FOAF), Internet communities (SIOC), project description (DOAP) and vocabulary sharing (SKOS) are explored in our framework, as well as a proposal for applying customized rules and other enabling technologies to the expert finding task.
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