Portmann, Edy; Kaltenrieder, Patrick; Zurlinden, Noémie Martina (2014). Applying Fuzzy Ontologies to Implement the Social Semantic Web. ACM SIGWEB Newsletter, 2014(Autumn), pp. 1-12. ACM 10.1145/2682914.2682918
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Because the knowledge in the World Wide Web is continuously expanding, Web Knowledge Aggregation, Representation and Reasoning (abbreviated as KR) is becoming increasingly important. This article demonstrates how fuzzy ontologies can be used in KR to improve the interactions between humans and computers. The gap between the Social and Semantic Web can be reduced, and a Social Semantic Web may become possible. As an illustrative example, we demonstrate how fuzzy logic and KR can enhance technologies for cognitive cities. The underlying notion of these technologies is based on connectivism, which can be improved by incorporating the results of digital humanities research.
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, Kaltenrieder, Patrick, Zurlinden, Noémie Martina |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology > 330 Economics 600 Technology > 650 Management & public relations |
Publisher: |
ACM |
Projects: |
[388] Knowledge Aggregation, Representation and Reasoning |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
08 Oct 2014 08:07 |
Last Modified: |
09 Apr 2023 00:33 |
Publisher DOI: |
10.1145/2682914.2682918 |
BORIS DOI: |
10.7892/boris.59086 |
URI: |
https://boris.unibe.ch/id/eprint/59086 |
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