Towards a multimodality ontology image retrieval

• Main Authors: M. Khalid, Yanti Idaya Aspura, Noah, Shahrul Azman, Sheikh Abdullah, Siti Norulhuda
• Format: Article
• Language: English
• Published: Springer Berlin Heidelberg 2011
• Subjects: T Technology (General); Z665 Library Science. Information Science
• Online Access: http://irep.iium.edu.my/30412/1/chp%253A10.1007%252F978-3-642-25200-6_36.pdf; http://irep.iium.edu.my/30412/; http://link.springer.com/chapter/10.1007/978-3-642-25200-6_36

Ontology based retrieval is gaining popularity due to the limitation posed by the conventional bag-of-words retrieval system. To semantically search for images, textual descriptions are usually used since low level features provide little meaningful information. As such conventional searching and retrieving of images are currently being employed. Complex querying and enhanced semantic search still remain the issues to be solved in image retrieval systems. We proposed an ontology driven framework for supporting image retrieval with particular emphasis on the sport news domain. Furthermore, we look into the possibility how multimodality ontology can be integrated in the framework and shows how open knowledge-bases such as the DBpedia play an important role in this area.