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Can I read LACO: A location-aware cooperative query system for securely personalized services on EtoBox?
LACO: A location-aware cooperative query system for securely personalized services by Ohbyung Kwon; Myung Keun Shin is a Computer Science article available to read on EtoBox.
What is LACO: A location-aware cooperative query system for securely personalized services about?
Location-aware computing technology becomes promising for pervasive personalization services which run anytime, anywhere, and on any device. These services should be based on contextual queries that are provided in a fast and flexible manner. To do so, cooperative query answering may be useful to support query relaxation and to provide both approximate matches as well as exact matches. To facilitate query relaxation, a knowledge representation framework has been widely adopted which accommodates semantic relationships or distance metrics to represent similarities among data values. However, research shows few legacy cooperative query mechanisms that consider location-awareness. Hence, the purpose of this paper is to propose a securely personalized location-aware cooperative query that supports conceptual distance metric among data values, while considering privacy concerns around user context awareness. To show the feasibility of the methodology proposed in this paper, we have implemented a prototype system, LACO, in the area of site search in an actual large-scale shopping mall.
Who reads LACO: A location-aware cooperative query system for securely personalized services?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Ohbyung Kwon; Myung Keun Shin
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0957-4174)
- Published
- 2008
- Language
- EN
- Field
- Computer Science (Physical Sciences)