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Discovering the semantic relationships in knowledgebase is critical in information processing and knowledge management. Previous studies of discovering semantic relationships are mainly based on the information extraction using manually annotated training set and predefined semantic relationship patterns. In this paper, we propose a new method to automatically discover the semantic relationships between...
Along with the development of the Internet, how to manage and control network information resources effectively has become a hot research. In this paper, we discussed key technologies of network information filtering: feature selection and learning algorithm. Based on feature subset generated by feature selection would affect the filtering accuracy, we proposed an improved feature selection method...
In a pervasive computing environment, the personalized recommender system incorporates contexts into recommendation and becomes a multiple dimensional decision expert system. In this paper, we present DFre, a distributed fuzzy reasoning engine for personalization recommendation. With difference from those existing rule-based systems, the DFre puts an emphasis on the distribution of the recommendation...
Ubiquitous sensor networks have become one of the most popular areas for indoor location systems. This paper addresses the problem of tracking a moving object on-line, where location sensors provide position information about a moving object. All of these applications require the position of a device moving at human speeds to be tracked. This scheme presents a cheap and enhanced ranging technique...
The traditional annotation technologies focus on the content of the resources which is normally done by the system managers. There are some Web applications which allow users to annotate the resources besides the content; we call this phenomenon as pervasive annotation. This paper defines the pervasive annotation as a correlative procedure of tag assignation, rating, description and usage status marking...
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