Applying Fuzzy Ontologies to Implement the Social Semantic Web

Portmann, Edy; Kaltenrieder, Patrick; Zurlinden, Noémie Martina (2014). Applying Fuzzy Ontologies to Implement the Social Semantic Web. ACM SIGWEB Newsletter(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 and 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:

26 Aug 2016 07:36

Publisher DOI:

10.1145/2682914.2682918

BORIS DOI:

10.7892/boris.59086

URI:

https://boris.unibe.ch/id/eprint/59086

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