Knowledge-Based systems for ambient social interactions

Authors:
Xiang Su;Ekaterina Gilman;Paweł Kwiatkowski;Tomasz Latkowski;Alma Pröbstl;Bartłomiej Wójtowicz;Jukka Riekki
Affiliations:
Department of Computer Science and Engineering and Infotech Oulu, University of Oulu, Finland;Department of Computer Science and Engineering and Infotech Oulu, University of Oulu, Finland;Department of Electronics, Military University of Technology, Warsaw, Poland;Department of Electronics, Military University of Technology, Warsaw, Poland;Department of Computer Science and Engineering and Infotech Oulu, University of Oulu, Finland;Department of Electronics, Military University of Technology, Warsaw, Poland;Department of Computer Science and Engineering and Infotech Oulu, University of Oulu, Finland
Venue:
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Year:
2011

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Abstract

The development of ambient social applications brings challenges to aggregate information from heterogeneous sources, like users, physical environments, and available services. We propose a framework for aggregating information from different sources, and utilize a novel representation, Entity Notation (EN), as a starting point of connecting all information to knowledge-based systems, which offers good possibilities to support ambient social intelligence. In this paper, we present the framework, our EN representation, and an implementation of a map reminder service to demonstrate the usability of our framework.