Abstract | ||
---|---|---|
This paper presents the MINERVA project that protoypes a distributed search engine based on P2P techniques. MINERVA is layered on top of a Chord-style overlay network and uses a powerful crawling, indexing, and search engine on every autonomous peer. We formalize our system model and identify the problem of effi- ciently selecting promising peers for a query as a pivotal issue. We revisit existing ap- proaches to the database selection problem and adapt them to our system environment. Measurements are performed to compare different selection strategies using real-world data. The experiments show significant performance differences between the strategies and prove the importance of a judicious peer selection strategy. The experiments also present first evidence that a small number of carefully selected peers already provide the vast majority of all relevant results. |
Year | Venue | Keywords |
---|---|---|
2005 | BTW | system modeling,p2p,overlay network,search engine |
Field | DocType | Citations |
Data mining,Search engine,Crawling,Information retrieval,Computer science,Database search engine,Search engine indexing,Database selection,Search analytics,System model,Overlay network | Conference | 23 |
PageRank | References | Authors |
0.85 | 32 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
matthias bender | 1 | 309 | 14.34 |
Sebastian Michel | 2 | 946 | 58.72 |
Gerhard Weikum | 3 | 12710 | 2146.01 |
Christian Zimmer | 4 | 282 | 13.36 |
Gottfried Vossen | 5 | 1468 | 391.55 |
Frank Leymann | 6 | 6482 | 578.87 |
Peter C. Lockemann | 7 | 824 | 703.90 |
Wolffried Stucky | 8 | 247 | 86.22 |