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Bhutani et al., 2019 - Google Patents

Online Schemaless Querying of Heterogeneous Open Knowledge Bases

Bhutani et al., 2019

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Document ID
17455217082835417281
Author
Bhutani N
Jagadish H
Publication year
Publication venue
Proceedings of the 28th ACM International Conference on Information and Knowledge Management

External Links

Snippet

Applications that depend on a deep understanding of natural language text have led to a renaissance of large knowledge bases (KBs). Some of these are curated manually and conform to an ontology. Many others, called open KBs, are derived automatically from …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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