Intelligent Systems Design and Applications, International Conference on (2006)
Oct. 16, 2006 to Oct. 18, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.25
Baoli Dong , Taiyuan University of Science and Technology, China
Huimei Liu , Taiyuan University of Technology, China
Domain-specific web resource discovery is a key issue for resources sharing and reuse. Considering the text semantic information inside enterprise sites reflects the website structures and textual content feature, a novel website topic feature modeling method are presented in this paper. The website classification algorithm on the basis of the hybrid vector employs the effective kind of support vector machine (SVM). Manufacturing enterprise website search from the web is implemented to verify the classification performances. Moreover, the accuracy and efficiency of enterprise sites search are improved by revised search strategies. Finally, a prototype system of web enterprise resource service is introduced. It preliminarily demonstrates that this method is of good applicability for specific web resource discovery.
B. Dong and H. Liu, "Enterprise Website Topic Modeling and Web Resource Search," 2006 6th International Conference on Intelligent Systems Design and Applications(ISDA), Jinan, 2006, pp. 56-61.