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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/11640

タイトル: Location-based concept in activity log ontology for activity recognition in smart home domain
著者: Wongpatikaseree, Konlakorn
Ikeda, Mitsuru
Buranarach, Marut
Supnithi, Thepchai
Lim, Azman Osman
Tan, Yasuo
キーワード: activity recognition
activity log
location-based concept
description logic rules
semantic ontology search
発行日: 2012
出版者: Springer
誌名: Lecture Notes in Computer Science
巻: 7774
開始ページ: 326
終了ページ: 331
DOI: 10.1007/978-3-642-37996-3_24
抄録: Activity recognition plays an important role in several researches. Nevertheless, the existing researches suffer various kinds of problems when human has a different lifestyle. To address these shortcomings, this paper proposes the activity log in the context-aware infrastructure ontology in order to interlink the history user's context and current user's context. In this approach, the location-based concept is built into the activity log for producing the description logic (DL) rules. The relationship between activities in the same location is investigated for making the result of activity recognition more accurately. We also conduct the semantic ontology search (SOS) system for evaluating the effectiveness of our proposed ideas. The semantic data can be retrieved through SOS system, including, human activity and activity of daily living (ADL). The results from SOS system showed the advantage overcome the existing system when uses the location-based concept in activity log ontology.
Rights: This is the author-created version of Springer, Konlakorn Wongpatikaseree, Mitsuru Ikeda, Marut Buranarach, Thepchai Supnithi, Azman Osman Lim, and Yasuo Tan, Lecture Notes in Computer Science, 7774, 2012, 326-331. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-37996-3_24
URI: http://hdl.handle.net/10119/11640
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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