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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Bibliographic Details
Published in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 Vol. 3; pp. 551 - 554
Main Authors: Badii, Atta, Lallah, Chattun, Zhu, Meng, Crouch, Michael
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Series:ACM Conferences
Subjects:
Automatic Labelling
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks
Computing methodologies > Artificial intelligence > Natural language processing
Computing methodologies > Machine learning > Machine learning approaches > Rule learning
Content based retrieval
Indexing
Information retrieval
Information systems > Information retrieval > Document representation
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > Information retrieval > Retrieval models and ranking
Information systems > Information retrieval > Search engine architectures and scalability > Search engine indexing
Intelligent agent
Intelligent networks
Knowledge representation
Labeling
Materials testing
Natural Language Processing
Ontologies
Ontology
Prototypes
Topic Map Technology
Knowledge Representation
Topic Map Technology
Ontology
Automatic Labelling
Natural Language Processing
ISBN:0769538010, 9780769538013
Online Access:Get full text
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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.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.347