An Evolutionary Approach to Automatic Web Page Categorization and Updating

• Authors: Vincenzo Loia;Paolo Luongo
• Venue: WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
• Year: 2001

Catalogues play an important role in most of the current Web search engines. The catalogues, which organize documents into hierarchical collections, are maintained manually increasing difficult y and costs due to the incessant growing of the WWW. This problem has stimulated many researches to work on automatic categorization of Web documents. In reality, most of these approaches work well either on special types of documents or on restricted set of documents. This paper presents an evolutionary approach useful to construct automatically the catalogue as well as to perform the classification of a Web document. This functionality relies on a genetic-based fuzzy clustering methodology that applies the clustering on the context of the document, as opposite to content-based clustering that works on the complete document information.