By Ben Kei Daniel
During the last decade, digital groups have advanced from mammoth experimental, academic, technological, enterprise, and social environments to experiential and useful environments, supplementing their geographical counterparts.Handbook of analysis on tools and strategies for learning digital groups: Paradigms and Phenomena satisfies the necessity for methodological attention and instruments for information assortment, research and presentation in digital groups. Chapters hide reports on quite a few different types of digital groups, making this reference a accomplished resource of study for these within the social sciences and arts. also, the booklet helps executives and company leaders interested by the administration of craftsmanship, social capital, competence wisdom, and knowledge and organizational improvement in numerous sorts of digital groups and environments.
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Additional resources for Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena, Volume 1
Example text
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.
This combination was firstly proposed by Aleman-Meza et al. (2007). 13 GEEK FOAF (Brickley & Miller, 2007) is a paradigmatic vocabulary widely used on the Semantic Web. It was developed to create machine readable descriptions about people, groups, organizations, and their relationships. It contains some purely descriptive properties, such as foaf:mbox_sha1sum which can be used to relate people to their email addresses without revealing the address to spammers. Interestingly, FOAF also contains relational properties relevant for the expert finder domain, such as foaf:currentProject and foaf:pastProject, which provide information on ‘some collaborative or individual undertaking’ that a person is (or has been) involved in.
Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. GEEK GEEK: ANALYSING ONLINE COMMUNITIES FOR EXPERTISE INFORMATION In the last decades, we are observing a growing need for different types of “multidimensional” expertise. Efficient expertise management is a critical factor of success for organizations. Traditional approaches to this challenge are suffering many difficulties. Firstly, within multinational organizations, enterprises and companies, which are usually built by continuous merging of smaller companies, information systems are heterogeneous, disperse and often redundant.