Development of Semantic Based Information Retrieval Using Word-Net Approach

semantic-based information retrieval mechanism that handles the processing, recognition, extraction, extensions and matching of content semantics to achieve the following objectives: i) to analyze and determine the semantic feature of the content and to develop a semantic pattern that represent the semantic features of the content. ii) to analyze user’s query and extend its implied semantics through semantic extension to identify more semantic features for matching. iii) to generate contents with approximate semantics by clustering the documents and matching against the extended query to provide correct contents to the querist.

[1]  Maria Vargas-Vera,et al.  A Question-Answering System Using Argumentation , 2004, MICAI.

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

[3]  Qinglin Guo,et al.  Multi-documents Automatic Abstracting based on text clustering and semantic analysis , 2009, Knowl. Based Syst..

[4]  Wei-Pang Yang,et al.  Text summarization using a trainable summarizer and latent semantic analysis , 2005, Inf. Process. Manag..

[5]  김현,et al.  XML Topic Maps 가시화를 위한 휴리스틱 접근 방법 , 2005 .

[6]  Veda C. Storey,et al.  Understanding semantic relationships , 1993, The VLDB Journal.

[7]  Gerald Salton,et al.  Automatic text processing , 1988 .

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

[9]  Patrick F. Reidy An Introduction to Latent Semantic Analysis , 2009 .

[10]  Hugh C. Davis,et al.  Managing the semantic aspects of learning using the knowledge life cycle , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[11]  Paul Johannesson,et al.  Classifying the Semantics of Relationships in Conceptual Modeling by Categorization of Roles , 2001, NLDB.

[12]  Soon Myoung Chung,et al.  Text document clustering based on neighbors , 2009, Data Knowl. Eng..

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

[14]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[15]  Robert N. Oddy,et al.  Using cause-effect relations in text to improve information retrieval precision , 2001, Inf. Process. Manag..

[16]  Hsin-Chang Yang,et al.  A classifier-based text mining approach for evaluating semantic relatedness using support vector machines , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.