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New Technology of Library and Information Service  2012, Vol. Issue (10): 1-7    DOI: 10.11925/infotech.1003-3513.2012.10.01
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A Linked Data-driven Semantic User Modeling Framework for Personalization Service
Niu Yazhen1,2, Zhu Zhongming1
1. The Lanzhou Branch of National Science Library, Chinese Academy of Sciences, Lanzhou 730000, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
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Abstract  Based on the framework of Linked Data application, this paper prensents a semantic user modeling framework, and designs a semantic user model in the context of semantic Web, then analyzes the framework in detail. This framework mainly consists of two parts: firstly, it discusses the methods and strategies for discovering and acquiring users data from the LOD cloud; secondly, it introduces the processes for constructing a user model using these data, which includes such steps as concept mapping, identity resolution, data fusion and model generation.
Key wordsLinked data      LOD      User model      User modeling      Semantic Web      Concept mapping      Data fusion     
Received: 11 September 2012      Published: 24 January 2013



Cite this article:

Niu Yazhen, Zhu Zhongming. A Linked Data-driven Semantic User Modeling Framework for Personalization Service. New Technology of Library and Information Service, 2012, (10): 1-7.

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