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Menendez et al., 2019 - Google Patents

Novel node importance measures to improve keyword search over rdf graphs

Menendez et al., 2019

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Document ID
16282275933750721638
Author
Menendez E
Casanova M
Paes Leme L
Boughanem M
Publication year
Publication venue
Database and Expert Systems Applications: 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II 30

External Links

Snippet

A key contributor to the success of keyword search systems is a ranking mechanism that considers the importance of the retrieved documents. The notion of importance in graphs is typically computed using centrality measures that highly depend on the degree of the nodes …
Continue reading at www.maxwell.vrac.puc-rio.br (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30522—Query processing with adaptation to user needs
    • G06F17/3053—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
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