The DREAM Framework Using a Network of Scalable Ontologies for Intelligent Indexing and Retrieval of Visual Content

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 en...

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Veröffentlicht in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Jg. 3; S. 551 - 554
Hauptverfasser: Badii, Atta, Lallah, Chattun, Zhu, Meng, Crouch, Michael
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Schriftenreihe:ACM Conferences
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ISBN:0769538010, 9780769538013
Online-Zugang:Volltext
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Zusammenfassung: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.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.347