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DESCRIPTION:Click for Latest Location Information: http://semtech2011.semanticweb.com/sessionPop.cfm?confid=62&proposalid=3769\nThe use of semantic Web technologies to make the myriad of data in cyberspace accessible to intelligent agents is well established. However, a crucial type of information on the Web--and especially in life sciences--is imaging, and images are largely being overlooked by current semantic Web endeavors. Technological approaches and standards are being developed so that Web agents can access and process images in cyberspace.  We are developing methods and tools to enable the transparent discovery and use of large distributed collections of medical images on the Web as well as within hospital information systems.  \nOur approach is to make the human and machine descriptions of image pixel content machine-accessible through "semantic annotation" tools that use ontologies in a manner that is transparent to consumers of images.  New standards for describing image contents in ways that can be published on the semantic Web are maturing, and while this work is focused on images in the life sciences, it has broader applicability to all images on the Web. We will describe tools we have developed to collect semantic annotations directly from people as they view the images on imaging workstations.  Image annotations, represented as instances in an OWL ontology can be serialized to a variety of formats, enabling interoperability among a variety of systems that contain images: medical records systems, image archives in hospitals, and the Semantic Web.  In addition, the semantic annotations, being linked to the source images from which they derived, can enable dynamically retrieving the images associated with the semantic annotations or their particular values. Our ultimate goal is to enable semantic integration of images and all the related scientific data pertaining to their content so that researchers and physicians can have the best understanding of the biological and physiological significance of image content.  In the consumer sector, these methods could enable better image search and user-centric imaging applications. Ultimately, new Semantic Web applications will emerge that will emerge that will help us to better exploit the wealth of images now at our fingertips. \n<ul><li>Images are prevalent on the Web, and especially important to the life sciences\n<li>Several important recent advances promise to make images and the information within them machine-accessible for semantic Web applications\n<li>New standards are emerging to enable images to be described (annotated) using ontologies and used in semantic Web applications\n<li>Several new image-based semantic web applications are already in development\n<li>While most of the current work with images is in the life sciences, the technologies and tools described are applicable to all types of images</ul>
DTSTART:20110607T134000
SUMMARY:Imaging on the Semantic Web: Computer Access and Reasoning with Images
DTEND:20110607T142959
LOCATION: See Description
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