By Edy Portmann (auth.)
Online popularity administration bargains with tracking and influencing the web list of an individual, a company or a product. The Social net deals more and more uncomplicated how you can submit and disseminate own or opinionated details, that may swiftly have a disastrous effect at the on-line popularity of a few of the entities. the writer makes a speciality of the Social net and probabilities of its integration with the Semantic internet as source for a semi-automated monitoring of on-line reputations utilizing vague traditional language phrases. The inherent constitution of typical language helps people not just in communique but in addition within the notion of the realm. Thereby fuzziness is a promising software for reworking these human perceptions into machine artifacts. via fuzzy grassroots ontologies, the Social Semantic net turns into extra certainly and hence can streamline on-line popularity administration. For readers attracted to the cross-over box of machine technological know-how, details structures, and social sciences, this booklet is a perfect resource for changing into conversant in the evolving box of fuzzy on-line acceptance administration within the Social Semantic net region.
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Additional resources for The FORA Framework: A Fuzzy Grassroots Ontology for Online Reputation Management
These are personal journals, typically administrated by individuals and updated on a daily basis with a personal view on a current issue. Microblogs differ from traditional blogs in that the content is typically smaller. They focus on short messages that are exchanged via a central platform. They have primarily a communicative character, and usually a short date range. They are presented in Sect. 2. 3 introduces folksonomies (a blend of folk and taxonomy), which are systems of classification derived from the practice and method of collaboratively creating and managing tags 18 2 The Social Semantic Web Fig.
Thereby proximity measurements, methods for defining the optimal number of cluster and also cluster validation methods are pronounced. Subsequently the general (hard) approach is enhanced by a more flexible (fuzzy) approach. Thereby the main concepts and mathematical notions of fuzzy logic, set theory and clustering are elaborated. In the end, this chapter answers the question how fuzzy logic can be combined with Social Semantic Web (see Chap. 2). Thereby the concept of a fuzzy grassroots ontology will be presented as a solution to bridge the gap between the bottom-up-approach of Social Web’s folksonomies and the topdown-approach of Semantic Web’s ontologies.
Including statements involving RDFS and OWL). Hence, SPARQL is necessary to retrieve information from the Semantic Web. At last, the top layers contain technologies that are not yet standardized or hold just concepts, such as cryptography or a trust layer, which should be implemented in order to realize the Semantic Web. Within this PhD thesis, these layers are not further explained. 1 Resource Description Framework RDF is used to represent entities, referred to by their unique identifiers or URIs, and a binary relationship among those entities.