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In this paper we focus on building a large scale keyword search service over structured peer-to-peer (P2P) networks. Current state-of-the-art keyword search approaches for structured P2P systems are based on inverted list intersection. However, the biggest challenge in those approaches is that when the indices are
We present a simple yet novel technique for prefix search in P2P networks. The idea is to extract characters and their position information in a keyword to index objects. Our index scheme can achieve quite balanced loads, avoid hop-spots and single point of failure, reduce storage and maintenance costs, and offer some
application for P2P systems. Data discovery and retrieval is of great importance to computer users and the broad Internet community. In this paper, we propose a novel approach to retrieve not only textual documents that have specified keywords, but also to discover semantically equivalent or entailed documents from given
In this paper, we introduce a search engine, Dgoogle, designed for large scale P2P systems. Dgoogle is purely text- based, does not organize documents based on pre-defined keywords or based on their semantics. It is simple to implement and can tolerate variations in the wording of text queries. Compared to existing
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