Adaptations based on ontology evolution as a mean to exploit collective intelligence

Authors:
Laura Burzagli;Francesco Gabbanini;Pier Luigi Emiliani
Affiliations:
Institute for Applied Physics, National Research Council of Italy, Sesto Fiorentino, Firenze, Italy;Institute for Applied Physics, National Research Council of Italy, Sesto Fiorentino, Firenze, Italy;Institute for Applied Physics, National Research Council of Italy, Sesto Fiorentino, Firenze, Italy
Venue:
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: design for all and eInclusion - Volume Part I
Year:
2011

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Abstract

The paper discusses new possible facets regarding the concept of adaptation, focused on allowing users to intervene in the process by having the possibility both to insert new data and to alter the structure of ontological knowledge bases which contain adaptation determinants. The approach is based on the exploitation of the synergy between Web 2.0 and Semantic Web and may give the opportunity to obtain more personalized, comprehensive and tailored service to all users, by allowing user communities to model a domain of interest and to develop it according to their interests. The paper discusses background ideas and gives technical details of an example implementation of a software component designed to perform ontology evolution based on the analysis of contributions expressed by users of a service in natural language.