Semantic based Personalized Framework for Information Retrieval

Traditional information retrieval systems are mostly keywordbased and retrieve documents or information by matching keywords. These systems lack a meaningful description for information, so it is difficult for users to find more relevant information. To provide what a user really needs, a framework of information retrieval based on semantics has been proposed in this paper. In this framework the semantics in the user query are identified and these are summarized according to the context. Then the results are classified into possible domains or groups and displayed to user according to his choice from domain the results are re-ranked. By this framework we provide users a convenient and more precise search service with personalization. General Terms Information Retrieval, Clustering, Ranking

[1]  Ahmed Abdelali,et al.  Improving query precision using semantic expansion , 2007, Inf. Process. Manag..

[2]  Wang Hongsheng,et al.  Personalized information filtering based on semantic similarity , 2010, 2010 IEEE International Conference on Software Engineering and Service Sciences.

[3]  Joongmin Choi,et al.  Adaptive User Profiling for Personalized Information Retrieval , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[4]  Benjamin C. M. Fung,et al.  Hierarchical Document Clustering using Frequent Itemsets , 2003, SDM.

[5]  Joongmin Choi,et al.  Personalized Information Retrieval Using the User History , 2008, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008).

[6]  L. Ganesan,et al.  Development of Semantic Based Information Retrieval Using Word-Net Approach , 2010, 2010 Second International Conference on Computer and Network Technology.

[7]  Yuh-Min Chen,et al.  Developing a semantic-enable information retrieval mechanism , 2010, Expert Syst. Appl..

[8]  Sung-Hyon Myaeng,et al.  Semantic passage segmentation based on sentence topics for question answering , 2007, Inf. Sci..