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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!