Matching based Spatio-Temporal Contents discovery method considering temporal characteristics

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  • 時間特性を考慮したマッチング型時空間コンテンツ検索手法

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Cross-domain data fusion is becoming a key driver to growth of the numerous and diverse applications in IoT era. We have proposed a concept of new information platform, Geo-Centric information platform (GCIP), that enables IoT data fusion based on geolocation. GCIP produces new and dynamic contents by combining cross-domain data in each geographic area and provides them to users. In this environment, it is difficult to find appropriate contents requested by a user because the user cannot recognize what contents are created in each area beforehand. we proposed a content discovery method for GCIP in previous research. However, previous research is not considering temporal characteristics. In this paper, we propose new content discovery method considering temporal characteristics in STC. Simulation results showed that appropriate contents can be discovered in response to user’s request.

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