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Song et al., 2019 - Google Patents

Semantic query graph based SPARQL generation from natural language questions

Song et al., 2019

Document ID
1983120348439942263
Author
Song S
Huang W
Sun Y
Publication year
Publication venue
Cluster Computing

External Links

Snippet

In order to precisely represent natural language questions (NLQs) in question answering system (QAS) and provide a more naturally interactive mode, we require SPARQL, a formalized query patterns, instead of search expression to express the user's semantic query …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
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    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/3066Query translation
    • G06F17/30669Translation of the query language, e.g. Chinese to English
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30389Query formulation
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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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
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