Trends and issues in description logics frameworks for image interpretation

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Abstract

Description Logics have recently attracted significant interest as the underlying formalism for conceptual modelling in the context of high-level image interpretation. Differences in the formulation of image interpretation semantics have resulted in varying configurations with respect to the adopted modelling paradigm, the utilised form of reasoning, and the way imprecision is managed. In this paper, we examine the relevant literature, outlining the corresponding strengths and weaknesses, and argue that although coming up with a complete solution is hard to envisage any time soon, there are a number of key considerations that may serve as guidelines towards this direction. © Springer-Verlag Berlin Heidelberg 2010.

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APA

Dasiopoulou, S., & Kompatsiaris, I. (2010). Trends and issues in description logics frameworks for image interpretation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6040 LNAI, pp. 61–70). https://doi.org/10.1007/978-3-642-12842-4_10

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