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Kanimozhi et al., 2013 - Google Patents

Incorporating ontology and SPARQL for semantic image annotation

Kanimozhi et al., 2013

Document ID
11405042763254487458
Author
Kanimozhi T
Christy A
Publication year
Publication venue
2013 IEEE Conference on Information & Communication Technologies

External Links

Snippet

Contents in image repository are highly complicated and semantically unknown. The image annotation task is categorized as classification of low-level or atomic concepts and classification of high-level concepts in a domain-specific ontology. The Semantic Web is an …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30389—Query formulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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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    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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    • G—PHYSICS
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