Abstract
A framework is proposed in which information about images(s form and information about image’s content are addressed in a principled way. The framework relies on the an uncertainty description logic U-ALC, which is also newly proposed in this paper, for (i) representing the semantics of images and (ii) for defining the retrieval process in terms of logical entailment. The overall framework thus extends current image retrieval systems with the use of qualitative uncertainty semantic information processing.
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Wang, S., Huang, H. (2012). A Framework for Image Retrieval Based on Uncertainty Description Logic U-ALC. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_68
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DOI: https://doi.org/10.1007/978-3-642-03718-4_68
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