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Automated Semantic Annotation and Retrieval Based on Sharable Ontology and Case-based Learning Techniques Von-Wun Soo, Chen-Yu Lee, Chung-Cheng Li, Shu Lei Chen and Ching-chih Chen*
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Document Date: 2010-11-21 08:57:48


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Company

Case / US NSF/IDLP / /

Country

Taiwan / United States / China / /

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Event

Product Issues / Product Recall / /

Facility

National Tsing Hua University / Simmons College / Simmons College of USA / /

IndustryTerm

similarity matching algorithms / structural matching algorithm / web standard / software agents / semantic web / image processing / search engines / similarity match algorithm / semantic-web standard / similarity match algorithms / similarity comparison algorithms / text-based information retrieval systems / retrieval algorithms / web ontology languages / search engine / conceptual clustering algorithm / search results / visualization tool / intelligent software agents / /

Organization

Graduate School / National Science Foundation / US Federal Reserve / Simmons College / Boston / National Tsing Hua University / Ching-chih Chen* Department of Computer Science / /

Person

Wear / Qin Dynasty / Arnold W.M. Smeulders / Chung-Cheng Li / Chen-Yu Lee / Shu Lei Chen / /

Position

military officer / commander / Chancellor / General / chancellor / Emperor / General / /

Product

curves / /

ProgrammingLanguage

XML / /

ProvinceOrState

New Foundland and Labrador / /

Technology

XML / matching algorithm / MLRM algorithms / similarity matching algorithms / retrieval algorithms / two similarity comparison algorithms / similarity match algorithm / structural matching algorithm / Extensible Markup Language / search engine / resource description framework / RDF / MCS algorithm / MLRM algorithm / image processing / conceptual clustering algorithm / two similarity match algorithms / MLRM algorithm The MLRM algorithm / /

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