Abstract
In order to carry out e-commerce better, advanced technologies to access business information are in need urgently. An agent is described to deal with the problems of extracting internet information that caused by the non-standard and skimble-scamble structure of Chinese websites. The agent designed includes three modules which respond to the process of extracting information separately. A method of HTTP tree and a kind of Lead algorithm is proposed to generate a lead order, with which the required web can be retrieved easily. How to transform the extracted information structuralized with natural language is also discussed.
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References
Maes P., Moukas A., Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW, Autonomous Agents and Multi-Agent Systems, 1(1)1998.
Hamdi, M.S, Information extraction using multi-agents, International Conference on Internet Computing-IC’03, pt. 1, pp 77–82, Vol. 1 (2003).
Arpteg, Anders, Multi-page list extraction: An agent-oriented approach to user-driven information extraction, 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS’05: Modeling, Exploration, and Engineering, v 2005, 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS’05: Modeling, Exploration, and Engineering, 2005, pp.431–437.
Vlahovic, N., Application of information extraction using information management agent for Croatian financial markets, WSEAS Transactions on Business and Economics, v 3, n 5, May 2006, pp.434–441.
Freitag, D. (1998). Information extraction from HTML: Application of a general learning approach. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98). Menlo Park, CA: AAAI Press.
Kushmerick, N., Weld, D. S., & Doorenbos, R. B. (1997). Wrapper induction for information extraction. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’97), pp.729–737.
Kenneth H. Rosen.Discrete Mathematics and Its applications (4th edition), 2002. 11 McGraw-Hill College, pp.473–479.
Grosz, Barbara. The Contexts of Collaboration. In K. Korta, E Sosa, eds. Cognition, Agency and Rationality, Dordrecht: Kluwer Press, 1999, pp.175–188.
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© 2007 IFIP International Federation for Information Processing
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Mo, Z., Huang, C., Liu, A. (2007). The Agent of extracting Internet Information with Lead Order. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds) Integration and Innovation Orient to E-Society Volume 2. IFIP International Federation for Information Processing, vol 252. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75494-9_39
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DOI: https://doi.org/10.1007/978-0-387-75494-9_39
Publisher Name: Springer, Boston, MA
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