In this paper, we propose a scheme for accessing document images using ontology. We make use of an extension of OWL (Ontology Language for Web) to allow encoding of ontologies for document images. We experimentally demonstrate that reasoning with the concepts defined in ontology and their observation models provide a mechanism to support conceptual querying and automated hyperlinking of document images. © 2005 IEEE.

Gaurav Harit

Department of Computer Science & Engineering

IIT Jodhpur

Santanu Chaudhury

J. Paranjpe

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

Journal	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN	15205363