Knowledge Discovery from the Web

The World Wide Web is a rich resource of information and knowledge. Within this resource, finding relevant answers to some given question is often a time consuming activity for a user. In the presented work we construct a web mining technique that can extract information from the web and create knowledge from it. The extracted knowledge can be used to respond more intelligently to user requests within the diagnosis domain. Our system has three main phases namely: a categorization phase, an indexing phase, and search a phase. The categorization phase is concerned with extracting important words/phrases from web pages then generating the categories included in them. The indexing phase is concerned with indexing web page sections. While the search phase interacts with the user in order to find relevant answers to their questions. The system was tested using a training web pages set for the categorization phase. Work in the indexing and search phase is still in going.