The International Arab Journal of Information Technology (IAJIT)

..............................
..............................
..............................


An Integrated Approach for Measuring Semantic

#


[1] Aguitman A., Menczer F., Roinestad H., and Vespignani A., Algorithmic Detection of Semantic Similarity, in Proceedings of the 14th International Conference on World Wide Web , pp. 1074116, Chiba, Japan, 2005

[2] Burgess K. and Lund K., Explorations in Context Space: Words, Sentences, Discourse, Discourse Processes , vol. 25, no. 243, pp. 2114 257, 1998. 596 The International Arab Journal of Information Tech nology, Vol. 12, No. 6, November 2015

[3] Jiang J. and Conrath D., Semantic Similarity based on Corpus Statistics and Lexical Taxonomy, in Proceedings of the International Conference Research on Computational Linguistics , Taiwan, pp. 19433, 1997.

[4] Landauer K. and Dumais T., A Solution to Plato s Problem: The Latent Semantic Analysis Theory of the Acquisition, Induction and Representation of Knowledge, Psychological Review , vol. 104, no. 2, pp. 2114240, 1997.

[5] Landauer K., Foltz W., and Laham D., Introduction to Latent Semantic Analysis, Discourse Processes , vol. 25, no. 2, pp. 2594284, 1998.

[6] Leacock C. and Chodorow M., Combining Local Context and WordNet Sense Similarity for Word Sense Identification, Word Net: An Electronic Lexical Database , MIT Press, Cambridge, USA, 1998.

[7] Lesk M., Automatic Sense Disambiguation using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone, in Proceedings of the 5th Annual International Conference on Systems Documentation, New York, USA, pp. 24426, 1986.

[8] Li Y., McLean D., Bandar Z., O Shea J., and Crockett K., Sentence Similarity based on Semantic Nets and Corpus Statistics, IEEE Transactions on Knowledge and Data Engineering , vol. 18, no. 8, pp. 113841149, 2006.

[9] Lin D., An Information4theoretic Definition of Similarity, in Proceedings of the 5 th International Conference Machine Learning , Wisconsin, USA, pp. 2964304, 1998.

[10] Meadow T., Boyce R., and Kraft H., Text Information Retrieval Systems , Academic Press, California, USA, 2000.

[11] Mihalcea R., Corley C., and Strapparava C., Corpus4based and Knowledge4based Measures of Text Semantic Similarity, in Proceedings of the 21 st Conference of American Association for Artificial Intelligence , Massachusetts, USA, pp. 7754780, 2006.

[12] Miller G., Beckwith R., Fellbaum C., Gross D., and Miller K., available at: http://wordnetcode. princeton.edu/5papers.pdf, last visited 2012.

[13] Resnik P., Using Information Content to Evaluate Semantic Similarity in a Taxonomy, in Proceedings of the 14 th International Conference on Artificial Intelligence , Montreal, Canada, pp. 4484453, 1995.

[14] Salton G. and Lesk M., Computer Evaluation of Indexing and Text Processing, Prentice Hall, New Jersey, USA, pp. 1434180, 1971.

[15] Siddiqui M., Fayoumi M., and Yusuf N., A Corpus based Approach to Find Similar Keywords for Search Engine Marketing, the International Arab Journal of Information Technology , vol. 10, no. 5, pp. 4604466, 2013.

[16] Turney P., Mining the Web for Synonyms: PMI4IR versus LSA on TOEFL, in Proceedings of the 12 th European Conference on Machine Learning , Freiburg, Germany, pp. 4914502, 2001.

[17] Wu Z. and Palmer M., Verb Semantics and Lexical Selection, in Proceedings of the 32 nd Annual Meeting Association for Computational Linguistics , New Mexico, USA, pp. 1334138, 1994. Kavitha Adhikesavan has completed her MCA degree from University of Madras. She is pursuing her PhD degree in MS University, Tirunelveli. PhD degree in computer science for her research in data mining. she is the assistant professor of the department of computer application s, RMK engineering college, India.