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Großmann et al., 2015 - Google Patents

Improving semantic search through entity-based document ranking

Großmann et al., 2015

Document ID
2178867373084363618
Author
Großmann B
Todor A
Paschke A
Publication year
Publication venue
Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics

External Links

Snippet

Traditional keyword-based IR approaches take into account the document context only in a limited manner. In our paper we present a novel document ranking approach based on the semantic relationships between named entities. In the first step we annotate all documents …
Continue reading at dl.acm.org (other versions)

Classifications

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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30522—Query processing with adaptation to user needs
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    • 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
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