Portmann, Edy; Meier, Andreas; Cudré-Mauroux, Philippe; Pedrycz, Witold (2014). FORA - A Fuzzy Set Based Framework for Online Reputation Management. Fuzzy sets and systems, 269, pp. 90-114. Elsevier 10.1016/j.fss.2014.06.004
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The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly exhibit a disastrous influence on the online reputation of organizations. Based on social Web data, this study describes the building of an ontology based on fuzzy sets. At the end of a recurring harvesting of folksonomies by Web agents, the aggregated tags are purified, linked, and transformed to a so-called fuzzy grassroots ontology by means of a fuzzy clustering algorithm. This self-updating ontology is used for online reputation analysis, a crucial task of reputation management, with the goal to follow the online conversation going on around an organization to discover and monitor its reputation. In addition, an application of the Fuzzy Online Reputation Analysis (FORA) framework, lesson learned, and potential extensions are discussed in this article.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management |
UniBE Contributor: |
Portmann, Edy |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 600 Technology > 650 Management & public relations |
ISSN: |
0165-0114 |
Publisher: |
Elsevier |
Projects: |
[388] Knowledge Aggregation, Representation and Reasoning |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
06 Oct 2014 16:34 |
Last Modified: |
05 Dec 2022 14:37 |
Publisher DOI: |
10.1016/j.fss.2014.06.004 |
Uncontrolled Keywords: |
Fuzzy clustering, Grassroots ontology, Online reputation management, Search engine, Social semantic web, Topic Maps |
BORIS DOI: |
10.7892/boris.58955 |
URI: |
https://boris.unibe.ch/id/eprint/58955 |
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