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Using sharable ontology to retrieve historical images
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Information retrieval on the semantic web
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Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Image Retrieval Via Isotropic and Anisotropic Mappings
PRIS '01 Proceedings of the 1st International Workshop on Pattern Recognition in Information Systems: In conjunction with ICEIS 2001
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Maintaining Unstructured Case Base
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The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Ontology acquisition and semantic retrieval from semantic annotated chinese poetry
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
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WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
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Information Processing and Management: an International Journal
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A method for processing the natural language query in ontology-based image retrieval system
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Information Processing and Management: an International Journal
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ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Semantic hierarchies for image annotation: A survey
Pattern Recognition
Global memory net: new collaboration, new activities and new potentials
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
A weakly supervised approach for semantic image indexing and retrieval
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
List data extraction in semi-structured document
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PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
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A multimodal content-based approach for web pages analysis
International Journal of Knowledge Engineering and Data Mining
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Effective information retrieval (IR) using domain knowledge and semantics is one of the major challenges in IR. In this paper we propose a framework that can facilitate image retrieval based on a sharable domain ontology and thesaurus. In particular, case-based learning (CBL) using a natural language phrase parser is proposed to convert a natural language query into resource description framework (RDF) format, a semantic-web standard of metadata description that supports machine readable semantic representation. This same parser also is extended to perform semantic annotation on the descriptive metadata of images and convert metadata automatically into the same RDF representation. The retrieval of images then can be conducted by matching the semantic and structural descriptions of the user query with those of the annotated descriptive metadata of images. We tested in our problem domain by retrieving the historical and cultural images taken from Dr. Ching-chih Chen's "First Emperor of China" CD-ROM [25] as part of our productive international digital library collaboration. We have constructed and implemented the domain ontology, a Mandarin Chinese thesaurus, as well as the similarity match and retrieval algorithms in order to test our proposed framework. Our experiments have shown the feasibility and usability of these approaches.