"Applying fuzzy ontologies to implement the social semantic web" by Edy Portmann, Patrick Kaltenrieder and Noémie Zurlinden with Martin Vesely as coordinator

Abstract

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.

Computational Intelligence and Citizen Communication in the Smart City

“…Fuzzy Ontologies play a significant role in Theory of Concepts, supplying a compatibility layer in the framework of an intensional approach, another traditional problem with traditional ontologies. Applications in which Fuzzy Ontologies are employed in the domain of collective communication and development include weather forecast [44], crisis and emergency management scenarios [18], finding appropriate data in different corpora pertaining to patients' healthcare needs [30], and other social interactions [33]. In this context the idea of Fuzzy Cognitive Maps can also contribute to the handling of knowledge (see e.g.…”