Enhancing ontology-based context modeling with temporal vector space for ubiquitous intelligence

Shermann S.M. Chan*, Qun Jin

*この研究の対応する著者

研究成果: Conference contribution

抄録

Context is the information, which is created and obtained from the surrounding environment for the interaction between humans and computational services. A generic model is a key accessor to the context in any context-aware applications for ubiquitous computing. In the past decades, a number of context modeling techniques have been proposed e.g. markup scheme based, logic-based, graphical, and ontology-based. Since ontology in its nature is a promising tool to specify concepts and interrelations, it has been widely adopted in context modeling. However, in the rapid changing environments, semantics may vary according to the time factors and dynamic group of users. In this paper, we propose an ontology-based context model with temporal vector space in order to complement this deficiency.

本文言語English
ホスト出版物のタイトルProceedings - 20th International Conference on Advanced Information Networking and Applications
ページ669-674
ページ数6
DOI
出版ステータスPublished - 2006 11 22
イベント20th International Conference on Advanced Information Networking and Applications - Vienna, Austria
継続期間: 2006 4 182006 4 20

出版物シリーズ

名前Proceedings - International Conference on Advanced Information Networking and Applications, AINA
1
ISSN(印刷版)1550-445X

Conference

Conference20th International Conference on Advanced Information Networking and Applications
国/地域Austria
CityVienna
Period06/4/1806/4/20

ASJC Scopus subject areas

  • 工学(全般)

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