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논문검색

Using Semantic Web for Mobile Services Personalization

초록

영어

Personalization is a desired functionality for applications within mobile environments. One approach to personalization of mobile services is by the use of contextual information. In this paper we describe an architecture for this purpose where we utilize semantic web technologies representing person-profiles. The developed ontology that covers personal information and food information is based on personas and scenarios from the food shopping domain. The profile covers three levels of information; personal information, long term information and temporary interests. The proposed concept of personalization is illustrated in two scenarios. The personalization concept illustrated in the form of videos showing the scenarios at work is evaluated by using the Technology Acceptance Model (TAM) to identify variables for investigations of mechanisms important for understanding interest in and acceptance of this type of solution.

목차

Abstract
 1. Introduction
 2. Background
 3. Overview of Personalization Architecture and Implementation
 4. Case Environment
  4.1. Persona: Bill and his family
  4.2. Scenario 1 pull: Alternative products
  4.3. Scenario 2 push: Matching of relevant service
 5. Evaluation
  5.1. Background Information about Participants
  5.2. The TAM evaluation
  5.3. Reliability and validity
  5.4. Relationship with intention to use
 6. Conclusions and Future Work
 References

저자정보

  • Lillian Hella Department of Computer and Information Science Norwegian University of Science and Technology, Trondheim, Norway
  • John Krogstie Department of Computer and Information Science Norwegian University of Science and Technology, Trondheim, Norway

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