NDLI: Dynamically re-definable ontology based user intension awareness

Content Provider	IEEE Xplore Digital Library
Author	Yu-Hsiang Lin Rung-Ching Chen Qiangfu Zhao
Copyright Year	2013
Description	Author affiliation: Univ. of Aizu, Aizu-Wakamatsu, Japan (Yu-Hsiang Lin; Qiangfu Zhao) \|\| Chaoyang Univ. of Technol., Taichung, Taiwan (Rung-Ching Chen)
Abstract	Context awareness has become an important issue in recent years. However, we still do not have a formal mechanism for solving related problems due to the complexity caused by personalization, service diversity, user intension, and so on. In this paper, we investigate the possibility of solving the problems using re-definable ontology. As a concrete example, we study smart phone based automatic service recommendation. The main idea of this work is to record the user behaviors, estimate the user intention based on the recorded data, induce first-order predicate logic rules, and re-define the structure of an ontology system. The re-definable ontology system can become smarter and smarter to understand the user intention and the correlation between users, and recommend proper services in proper timing. Based on the proposed mechanism, a simple prototype system is implemented. This paper provides some preliminary test results, and points out problems for future study.
Starting Page	389
Ending Page	395
File Size	356006
Page Count	7
File Format	PDF
ISBN	9781479923649
DOI	10.1109/ICAwST.2013.6765471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-02
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Awareness Service Recommendation Social network services Ontology Prototypes Ontologies Educational institutions Cognition Intension Awareness Preference Awareness Smart phones Engines
Content Type	Text
Resource Type	Article

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