A Machine Learning Technique for Semantic Search Engine-Reference-Cited by-同舟云学术

A Machine Learning Technique for Semantic Search Engine

Published:2012 Issue: Volume:38 Page:2164-2171
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Nagarajan G.,Thyagharajan K.K.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference42 articles.

1. J. Mayfield, T. Finin, B. County, “Information retrieval on the semantic web: Integrating inference and retrieval,” in SIGIR Workshop on the Semantic Web, Toronto, Canada, 2004.

2. T. Finin, J. Mayfield, C. Fink, A. Joshi, and R. S. Cost, “Information retrieval and the semantic web,” in Proceedings of the 38th International Conference on System Sciences, Hawaii, United States of America, 2005.

3. L. Ding, T. Finin, A. Joshi, R. Pan, R.S. Cost, Y. Peng, P. Reddivari, V.C. Doshi, and J. Sachs, “Swoogle: A search and metadata engine for the semantic web,” in Proceedings of the Thirteenth ACM Conference on Information and Knowledge management, 2004.

4. T. Finin, L. Ding, R. Pan, A. Joshi, P. Kolari, A. Java, and Y. Peng, “Swoogle: Searching for knowledge on the semantic web,” in Proceedings of the AAAI 05, 2005.

5. R. Guha, R. McCool, and E. Miller, “Semantic search,” in Proc. of the 12th international conference on World Wide Web, New Orleans, 2003, pp. 700-709.

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