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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| 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 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
Washington, DC, USA
IEEE Computer Society
15.09.2009
IEEE |
| Series: | ACM Conferences |
| Subjects: | |
| ISBN: | 0769538010, 9780769538013 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Crouch, Michael Zhu, Meng Lallah, Chattun Badii, Atta |
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| Keywords | Knowledge Representation Topic Map Technology Ontology Automatic Labelling Natural Language Processing |
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| PublicationTitle | Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03 |
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| Snippet | 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... |
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| SubjectTerms | 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 |
| Subtitle | Using a Network of Scalable Ontologies for Intelligent Indexing and Retrieval of Visual Content |
| Title | The DREAM Framework |
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