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Image browsing and natural language paraphrases of semantic web annotations (2006)

Abstract
Abstract. Recently, there has been interest in marking up digital images with annotations describing the content of the images using Web based ontologies encoded in the W3C’s Web Ontology Language, OWL. The annotations are subsequently exploited to improve the user experience of large collections of images, whether by enhance search or by a structured browsing experience. In the latter case, the complexity and unfamiliarity of logic-based ontology languages may do more to impede, than aid, the user. To alleviate this problem, we propose using automatic generation of natural language (NL) paraphrases of OWL statements to assist browsing image content. In this paper, we provide an overview of our NL generation approach and an empirical evaluation of the use of our paraphrases for image browsing. 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.130.7724
Source http://www.image.ntua.gr/swamm2006/resources/paper11.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
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