A survey of information retrieval and filtering methods
A survey of information retrieval and filtering methods
ParaSite: mining structural information on the Web
Selected papers from the sixth international conference on World Wide Web
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Data mining for hypertext: a tutorial survey
ACM SIGKDD Explorations Newsletter
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
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Sophisticated techniques from various areas of Artificial Intelligence can be used to improve the access to the WWW; the most promising ones stem from Data Mining and Knowledge Modeling. We describe the process of building two experimental systems: the VSEved system for intelligent meta-search, and the VSEtecka system for navigation support. We discuss our experience from this process, which seems to justify the hypothesis that the Multi-Agent paradigm can improve the efficiency of web access tools, in the future. With this respect, we outline a web-oriented multi-agent architecture.