Abstract
Abstract. In this chapter, we propose an intelligent web information search and retrieval model called Web Information Search Task (WIST) based on Computational Web Intelligence (CWI). Homepage-Finder, an intelligent software agent, is designed using Fuzzy Logic (FL), Neural Networks (NN) and Genetic Algorithms (GA) to execute a specific WIST to automatically find all relevant researchers’ homepages based on the possibility whether a web page is a personal homepage and the relevance with keywords, given a root URL, some keywords and some structure rules. The simulation results show that HomepageFinder with non-linear fuzzy reasoning can find more personal homepages (from 797 to 1571) with much higher precision (from 54.4% to 91.0%), higher recall (from 79.0% to 92.5%) than Google and list them in a desired order (average error is 0.082).
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Tang, Y., Zhang, Y. (2004). Smart Homepage-Finder — A Genetic Fuzzy Neural Agent for Searching Homepages Intelligently. In: Nikravesh, M., Azvine, B., Yager, R., Zadeh, L.A. (eds) Enhancing the Power of the Internet. Studies in Fuzziness and Soft Computing, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45218-8_18
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DOI: https://doi.org/10.1007/978-3-540-45218-8_18
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