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IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops
Multi-ontology Based Multimedia Annotation for Domain-specific Information Retrieval
Taichung, Taiwan
June 05-June 07
ISBN: 0-7695-2553-9
Aijuan Dong, North Dakota State University Fargo, ND
Honglin Li, North Dakota State University Fargo, ND
Recent advances in computer power, network bandwidth, information storage, and signal processing techniques have led to a proliferation of multimedia data. As a result, multimedia has become one of the most important information sources. To ensure effective utilization of multimedia assets by a variety of users, we propose a multi-ontology based multimedia annotation model, in which domain independent multimedia ontology is integrated with multiple domain ontologies in an effort to provide multiple, domain-specific views of multimedia content such that multimedia access can better address different users? information needs. We have developed a Multimedia Ontology(MO) based on MPEG-7 multimedia content description tools, proposed a strategy to integrate multiple domain ontologies, and designed a term extraction procedure to automatically extract domain-specific ontological terms from textual resources of multimedia data. To evaluate multiontology based multimedia annotation, we have developed a multi-ontology based multimedia access platform with a web-based interface. The preliminary evaluation suggests that multi-ontology based multimedia annotation can better meet different users? information needs.
Index Terms:
ontology, multimedia annotation, and information retrieval.
Citation:
Aijuan Dong, Honglin Li, "Multi-ontology Based Multimedia Annotation for Domain-specific Information Retrieval," sutc, vol. 2, pp.158-165, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops, 2006
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