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Huettemann et al., 2025 - Google Patents

Designing ontology-based search systems for research articles

Huettemann et al., 2025

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Document ID
7858393192466340991
Author
Huettemann S
Mueller R
Dinter B
Publication year
Publication venue
International Journal of Information Management

External Links

Snippet

The process of conducting scientific literature reviews is becoming increasingly complex and time-consuming due to the rapid expansion of available research. Popular academic search engines offer limited filtering capabilities and suffer from low precision. Machine learning …
Continue reading at www.sciencedirect.com (HTML) (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
    • 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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