Information retrieval based on topic map and grid agent technologies

Topic map is one of the hottest areas in information retrieval field in that it enables a user to navigate and access the documents he needs in an organized manner, rather than browsing through hyperlinks that are generally unstructured and often misleading. This paper proposes a new framework for information retrieval. Through actions of registry, discovery and access in grid information service discovery process, a grid space manager will find out the suitable services. And grid agent should remember the success and quality of the former cases by knowledge element mining and topic map building and reasoning, therefore the agent can gain experience of user's preference. We also detail the methods through which we can mine knowledge elements from web page resources' and to build extended topic maps including a new knowledge elements level.