A Study Of Domain Ontology Classification And User Participation Based Web Information Search Mechanism

This thesis from the point of view how to satisfy the users'demands on the Web information search, from the angle of informatics, learns that the basic reason of searching the internet information difficultly with each other is the information distance is faraway. The basic means that solves the difficult problem is how to shorten the information distance between the searcher and the target entity effectively.The user's demand need to be value very much, because it is the target in the information searching, and it is the important factor that can filter useless information and shorten the information distance. The method of user participating in information search process through a sense of vision, can succeed in catching the user's real demand effectively.By the domain partition, we can reduce the scope for searching the domain, and shorten information distance significantly.The information demands of the domain users depend on the whole quantity of information of the domain ontology, and the whole quantity of information of the domain ontology is invariableness. So information search according to the domain ontology, can lock the whole quantity of information of the domain ontology effectively, also can shorten the information distance.Items of the domain ontology classified and categorized by the domain users'demands, since can describe the structure and the connection activity of the domain entity, and then can describe the users'demands according to their activities. Join these classified items and categorized items together, we can generate search keywords with complete semantic meanings. These search keywords also can express the categories of the domain users'demands.The whole information web search model based on domain ontology classification and user participation, can shorten information distance effectively, and it is a kind of more ideal Web information search mechanism.