2005 Towards Self-Organizing Query Routing and Processing for Peer-to-Peer Web Search
Gerhard Weikum, Holger Bast, Geoffrey Canright, David A. Hales, Christian Schindelhauer, Peter Triantafillou, Gerhard Weikum, Holger Bast, Geoffrey Canright, David Hales, Christian Schindelhauer, Peter Triantafillou · 2005
Keywords: peer-to-peer systems, probabilistic and statistical methods, semantic overlay networks, self-organization, Web search. The peer-to-peer computing paradigm is an intriguing alternative to Google-style search engines for querying and ranking Web content. In a network with many thousands or millions of peers the storage and access load requirements per peer are much lighter than for a centralized Google-like server farm; thus more powerful techniques from information retrieval, statistical learning, computational linguistics, and ontological reasoning can be employed on each peer’s local search engine for boosting the quality of search results. In addition, peers can dynamically collaborate on advanced and particularly difficult queries. Moroever, a peer-to-peer setting is ideally suited to capture local user behavior, like query logs and click streams, and disseminate and aggregate this information in the network, at the discretion of the corresponding user, in order to incorporate richer cognitive models.