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The DREAM Framework: using a network of scalable ontologies for intelligent indexing and retrieval of visual content

Badii, A., Lallah, C., Zhu, M. and Crouch, M. (2009) The DREAM Framework: using a network of scalable ontologies for intelligent indexing and retrieval of visual content. In: BaezaYates, R., Berendt, B., Bertino, E., Lim, E. P. and Pasi, G. (eds.) 2009 IEEE/Wic/Acm International Joint Conferences on Web Intelligence. IEEE Computer Soc, Los Alamitos, pp. 551-554. ISBN 9781424453313

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Abstract/Summary

There are still major challenges in the area of automatic indexing and retrieval of digital data. The main problem arises from the ever increasing mass of digital media and the lack of efficient methods for indexing and retrieval of such data based on the semantic content rather than keywords. To enable intelligent web interactions or even web filtering, we need to be capable of interpreting the information base in an intelligent manner. Research has been ongoing for a few years in the field of ontological engineering with the aim of using ontologies to add knowledge to information. In this paper we describe the architecture of a system designed to automatically and intelligently index huge repositories of special effects video clips, based on their semantic content, using a network of scalable ontologies to enable intelligent retrieval.

Item Type:Book or Report Section
Divisions:Faculty of Science > School of Systems Engineering
ID Code:14343
Uncontrolled Keywords:Topic Map Technology, Ontology, Natural Language Processing, Automatic, Labelling, Knowledge Representation
Additional Information:Proceedings Paper IEEE/WIC/ACM International Conferences on Web Intelligence (WI)/Intelligent Agent Technologies (IAT) SEP 15-18, 2009 Milan, ITALY
Publisher:IEEE Computer Soc

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