Developing a semantic-enable information retrieval mechanism

Expert Systems with Applications

Volumn 37, Issue 1, 2010, Pages 322-340

  Chen, Ming Yen ^a   Chu, Hui Chuan ^b   Chen, Yuh Min ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b NATIONAL UNIVERSITY OF TAINAN   (Taiwan)

Author keywords

Information retrieval; Query extension; Query matching; Semantic extraction

Indexed keywords

CONTENT SEMANTICS; EASE-OF-USE; HUMAN BEING; KEYWORD SEARCH; KEYWORD-BASED SEARCH; NATURAL LANGUAGES; QUERY AND SEARCH; QUERY EXTENSION; QUERY MATCHING; RELEVANT DOCUMENTS; RETRIEVAL FAILURE; SEMANTIC EXTENSIONS; SEMANTIC EXTRACTION; SEMANTIC FEATURES; SEMANTIC PATTERN; TEXTUAL CONTENT;

FEATURE EXTRACTION; IMAGE RETRIEVAL; INFORMATION DISSEMINATION; INFORMATION RETRIEVAL SYSTEMS; INFORMATION SERVICES;

SEMANTICS;

EID: 70349601660     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.055     Document Type: Article

References (33)

1. Abdelali A., Cowie J., and Soliman H.S. Improving query precision using semantic expansion. Information Processing and Management 43 (2007) 705-716
2. Belgacem F.B. The mortar finite element method with Lagrange multipliers. Numericche Mathematik 84 (1999) 173-197
3. Bergholtz, M., & Johnannesson, P. (2001). Classifying the semantics of relationships in conceptual modeling by categorization of roles. In Proceeding of sixth international workshop applications of natural language to information systems (pp. 28-29). Madrid.
4. Berry M.W. Large scale singular value computations. International Journal of Supercomputer Applications 6 1 (1992) 13-49
5. Berry M.W., Dumais S.T., and O'Brien G.W. Using linear algebra for intelligent information retrieval. Society for Industrial and Applied Mathematics 37 4 (1995) 573-595
6. Bezerra B.L.D., and Carvalho F.de.A.T.de. A symbolic approach for content-based information filtering. Information Processing Letters 92 (2004) 45-52
7. Chang C.C., Hsu C.W., and Lin C.J. The analysis of decomposition methods for support vector machines. IEEE Transactions on Neural Networks 11 4 (2000) 1003-1008
8. In: Davies J., Fensel D., and Harmelen F.V. (Eds). Towards the semantic web: Ontology-driven knowledge management (2003), John Wiley and Sons Ltd., England
9. Feng, T., Millard, D., Woukeu, A., & Davis, H. (2005). Managing the semantic aspects of learning using the knowledge life cycle. In Proceeding of fifth IEEE international conference on advanced learning technologies (pp. 575-579). Kaohsiung.
10. Gomez-Perez, A., Fernandez-Lopez, M., & Corcho, O. (2004). Ontology engineering.
11. Jeong B., Lee D., Cho H., and Lee J. A novel method for measuring semantic similarity for XML schema matching. Expert Systems with Applications 34 3 (2008) 1651-1658
12. Landauer T.K., Foltz P.W., and Laham D. Introduction to latent semantic analysis. Discourse Processes 25 (1998) 259-284
13. Lee C.H., and Yang H.C. A classifier-based text mining approach for evaluating semantic relatedness using support vector machines. Proceedings of the International Conference on Information Technology 1 (2005) 128-133
14. Lee K.S., and Kageura K. Virtual relevant documents in text categorization with support vector machines. Information Processing and Management 43 (2007) 902-913
15. Li D.C., and Fang Y.H. An algorithm to cluster data for efficient classification of support vector machines. Expert Systems with Applications 34 (2006) 2013-2018
16. Moldovan, D., Harabagiu, S., Pasca, M., Mihalcea, R., Goodrum, R., Girju, R., et al. (1999). Lasso: A tool for surfing the answer net. In Proceedings of the eighth text retrieval conference (TREC-8) (pp. 175-183).
17. Moreale, E., & Vargas-Vera, M. (2004). A question-answering system using argumentation. In Mexican international conference on artificial intelligence, 26-30th (pp. 400-409).
18. Nouali O., and Blache P. A semantic vector space and features-based approach for automatic information filtering. Expert Systems with Applications 26 2 (2004) 171-179
19. Oh H.J., Myaeng S.H., and Jang M.G. Semantic passage segmentation based on sentence topics for question answering. Information Sciences 177 (2007) 3696-3717
20. O'Leary D.E. Internet-based information and retrieval systems. Decision Support Systems 27 3 (1999) 319-327
21. Park J., and Hunting S. XML topic maps (2002), Addison-Wesley Professional, MA, Boston
22. Salton G. Automatic text processing (1989), Addison-Wesley, Reading, MA
23. Salton G., and Michael J.M. Introduction to modern information retrieval (1986), McGraw-Hill, New York, USA
24. Scardamalia M., and Bereiter C. Computer support for knowledge-building communities. The Journal of the Learning Sciences 3 3 (1994) 265-283
25. Shawe-Taylor J., and Cristianini N. An introduction to support vector machines and other kernel-based learning methods (2000), Cambridge University Press
26. Shokouhi M., Zobel J., Tahaghoghi S., and Scholer F. Using query logs to establish vocabularies in distributed information retrieval. Information Processing and Management 43 (2007) 169-180
27. Sowa, J. F. (2000). Knowledge representation. Pacific Grove, CA: Brooks/Cole.
28. Storey V.C. Understanding semantic relationships. Very Large Data Bases (VLDB) Journal 12 4 (1993) 455-488
29. Storey V.C. Comparing relationships in conceptual modeling: Mapping to semantic classifications. Data and Knowledge Engineering 17 11 (2006) 1478-1489
30. Vechtomova O., Karamuftuoglu M., and Robertson S.E. On document relevance and lexical cohesion between query terms. Information Processing and Management 42 (2006) 1230-1247
31. Yang C.C., Yen J., and Chen H.C. Intelligent internet searching agent based on hybrid simulated annealing. Decision Support System 28 3 (2000) 269-277
32. Yeh J.Y., Ke H.R., Yang W.P., and Meng I.H. Text summarization using a trainable summarizer and latent semantic analysis. Information Processing and Management 41 (2005) 75-95
33. Zantout H., and Farhi M. Document management systems from current capabilities towards intelligent information retrieval: An overview. International Journal of Information Management 19 6 (1999) 471-484