Proceedings of the Korea Inteligent Information System Society Conference (한국지능정보시스템학회:학술대회논문집)
- 2006.06a
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- Pages.354-360
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- 2006
Applying Metricized Knowledge Abstraction Hierarchy for Securely Personalized Context-Aware Cooperative Query
- Kwon Oh-Byung (School of International Management, Kyunghee University) ;
- Shin Myung-Geun (2EIT Inc.) ;
- Kim In-Jun (Department of Computer Engineering, Kyunghee University)
- Published : 2006.06.01
Abstract
The purpose of this paper is to propose a securely personalized context-aware cooperative query that supports a multi-level data abstraction hierarchy and conceptual distance metric among data values, while considering privacy concerns around user context awareness. The conceptual distance expresses a semantic similarity among data values with a quantitative measure, and thus the conceptual distance enables query results to be ranked. To show the feasibility of the methodology proposed in this paper we have implemented a prototype system in the area of site search in a large-scale shopping mall.