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His main research interests are in qualitative spatial reasoning, both its theoretical foundations and its applications.
The criteria for qualitative evaluation of self-formated semiconductor elements might be based on the theory of Qualitative Spatial Reasoning initially developed by Clarke [7] and further refined by many authors, including Cohn et al [4-6].
The criteria for qualitative evaluation of such results are based on the theory of Qualitative Spatial Reasoning, the separate formalism RCC (Regional connection calculus), initially developed by Clarke [7] and further refined by many authors, including Cohn, Randell, Cui, Bennett [4,5,6].
The resulting maps can be useful to a variety of possible application areas and domains, where space can be used as a metaphor, for such domains, as knowledge engineering and acquisition, Web knowledge discovery, intelligent information retrieval, concept mapping and clustering, machine learning, semantic Web and other fields related to Web technology; in addition for applications on qualitative spatial reasoning, quantitative methods in geometry, robotics and vision, cognition and linguistics, geographic information systems, navigation and scientific visualization.
The second part of our approach focuses on the problem of intelligent ses on the problem of intelligent mapping of the domain material already created by dynamic linking, which is done through the application of a theory of qualitative spatial reasoning.
Qualitative Spatial Reasoning about Distances and Directions in Geographic Space.
Using Orientation Information for Qualitative Spatial Reasoning.
For significant contributions to knowledge representation, qualitative spatial reasoning, cognitive vision, and service to the international AI community.
Spatial relations are mapped on the background knowledge on systems of qualitative spatial reasoning [18,19,20].
Just as qualitative reasoning has proven valuable in software supporting conceptual design in engineering, we claim that qualitative spatial reasoning (Forbus, Nielsen, and Faltings 1991; Glasgow, Chandrasekaran, and Narayarian 1995) is essential for working with sketch maps.
Qualitative spatial reasoning (QSR) addresses these problems with representational primitives (a spatial "vocabulary") and inference mechanisms.
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