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Vol: 55(69) No: 3 / September 2010 A Spatial Representation and Reasoning Approach for Breast Cancer Grading Ontology A. E. Tutac Department of Computer Science and Engineering, “Politehnica” University of Timisoara, Faculty of Automation and Computers, 2 V.Parvan Blvd, Timisoara, Romania, e-mail: tutac@cs.upt.ro V. I. Cretu Department of Computer Science and Engineering, “Politehnica” University of Timisoara, Faculty of Automation and Computers, 2 V.Parvan Blvd, Timisoara, Romania, e-mail: vladimir.cretu@cs.upt.ro D. Racoceanu Faculty of Sciences and Technologies, University of Franche Comté, 16 Route de Gray 25030, Besançon, France, e-mail: daniel.racoceanu@ens2m.fr Keywords: knowledge representation, formal reasoning, breast cancer grading ontology, spatial representation, cognitive virtual microscopy Abstract The most emphasized way of representing the knowledge from domains of real world is the ontology, which is undoubtedly the trend of current years. In medical applications such as breast cancer grading, formal ontological representation is of high relevance from both medical and scientific standpoints, due to the importance of grading in the prognosis process and to the capacity to narrow the semantic gap. However, since the representation deals with histopathology images, a spatial representation and reasoning is required. We extend our breast cancer grading ontology with spatial representation and spatial reasoning support and we show how it helps in overcoming the inconsistencies and ambiguities. The ontology is integrated in a cognitive virtual microscope platform guiding the image exploration and assisting the grading process. References [1] O. Steichen, C. Daniel - Le Bozec, M. Thieu, E. Zapletal and M.C. Jaulent, “Computation of semantic similarity within an ontology of breast pathology to assist inter-observer consensus,” Computers in Biology and Medicine, vol. 36, no. 7, pp. 768–788, July 2006. [2] F. Baader, D.L. 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