Sensing presence (presense) ontology: user modelling in the semantic sensor web

Authors:
Amparo-Elizabeth Cano;Aba-Sah Dadzie;Victoria Uren;Fabio Ciravegna
Affiliations:
Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom;Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom;Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom;Department of Computer Science, The University of Sheffield, Sheffield, United Kingdom
Venue:
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Year:
2011

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Abstract

Increasingly, people's digital identities are attached to, and expressed through, their mobile devices. At the same time digital sensors pervade smart environments in which people are immersed. This paper explores different perspectives in which users' modelling features can be expressed through the information obtained by their attached personal sensors. We introduce the PreSense Ontology, which is designed to assign meaning to sensors' observations in terms of user modelling features. We believe that the Sensing Presence (PreSense) Ontology is a first step toward the integration of user modelling and "smart environments". In order to motivate our work we present a scenario and demonstrate how the ontology could be applied in order to enable context-sensitive services.