International Workshop on Semantic Sensor Networks (SSN) 2009, pp.110-121
Language
English
Type
Conference Paper
Abstract
In this paper, we propose the situation-awareness model for HKMP (Higher order Knowledge Management Platform) that has a capability to offer context-aware personalized services to user. HKMP is a platform that provides the higher order knowledge from the contextual information of the network and user ambient sensors through the knowledge processing techniques including reasoning and learning. This paper presents the system architecture of HKMP and classifies contextual information as lower order and higher order knowledge. The proposed situation-awareness model for providing contextaware personalized services recognizes the situation of the users and recommends personalized services based on the information. The main idea on this paper is how to evolve the awareness model without using personal information causing privacy issues and how to draw an inference effectively current situation of users. We continuously evolve our model to achieve this requirement by the learning mechanism using the interaction between users and mobile devices. As a result, we can make the user behavior pattern which can be learned in situation and the situation is captured by union of sensors under the current environments. In order to apply our model to new environments, we simply need to define the sensor profiles without any change of model itself. So, the proposed model consists of the pairs of context-action and deduce current situation of users inference through the ontology model. At the end, we evaluate the precision of the proposed approach through the use of Weka3 data mining software with data sets of UCI machine learning depository. In the result of evaluation, we expect HKMP to be an essential component to provide the personalized services in the next generation networks.
KSP Keywords
Ambient sensors, Awareness model, Behavior pattern, Context aware, Contextual information, Current situation, Data mining(DM), Data sets, Higher-order, Knowledge processing, Management Platform
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