Semantic collaborative Web caching

Abstract

Too much information is no information. When the quantity of data becomes too large, users need help and tools to find their path in the information space. Users can browse through Terabytes of data and more, and the difficulty is finding the best way through all possible documents. Our feeling is that a user is not generic and has particular interests. Thus, the percentage of relevant documents is small, so the time to access these documents must be reduced. We propose a collaborative proxy architecture, close to the user, based on "hot" relevance topics, and the dynamic construction of virtual communities. In this framework, the temperature of a document or a subject reflects its current interest among a community. We propose an architecture that allows proxies not only to manage efficiently cached documents but also to exchange documents with other proxies. Furthermore, these proxies manage meta-data about their partial views of the information space. We show how such an approach fits to enhance global efficiency of the Web both in terms of access time to relevant documents and in terms of Web content indexing, adding semantic value where raw byte arrays are often considered.