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Bordawekar et al., 2019 - Google Patents

Exploiting Latent Information in Relational Databases via Word Embedding and Application to Degrees of Disclosure.

Bordawekar et al., 2019

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Document ID
13257625711508202673
Author
Bordawekar R
Shmueli O
Publication year
Publication venue
CIDR

External Links

Snippet

Cognitive Databases is a new approach for enabling Arti cial Intelligence (AI) capabilities as standard features within relational database systems. Relations are texti ed and the text is used to build a Word Embedding (WE) model that captures the latent relationships between …
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Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • GPHYSICS
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval 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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