Author:
Chen Juan,Cohn Anthony G.,Liu Dayou,Wang Shengsheng,Ouyang Jihong,Yu Qiangyuan
Abstract
AbstractRepresentation and reasoning with qualitative spatial relations is an important problem in artificial intelligence and has wide applications in the fields of geographic information system, computer vision, autonomous robot navigation, natural language understanding, spatial databases and so on. The reasons for this interest in using qualitative spatial relations include cognitive comprehensibility, efficiency and computational facility. This paper summarizes progress in qualitative spatial representation by describing key calculi representing different types of spatial relationships. The paper concludes with a discussion of current research and glimpse of future work.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Software
Reference154 articles.
1. Zlatanova S. 2000. 3D GIS for Urban Development. PhD thesis, The International Institute for Aerospace Survey and Earth Sciences.
2. Schockaert S. , Cornelis C. , Cock M. D. , Kerre E. 2006. Fuzzy spatial relations between vague regions. In Proceedings of the 3rd International IEEE Conference on Intelligent Systems, London UK, September 4–6. International IEEE Conference Print, 221–226.
3. A new spatial algebra for road network moving objects;Wang;International Journal of Information Technology,2005
4. Vasardani M. , Egenhofer M. J. 2008. Single-holed regions: their relations and inferences. In Proceedings of the Geographic Information Science, 5th International Conference, GIScience 2008, Park City, UT, USA, September 23–26. Lecture Notes in Computer Science 5266, 337–353. Springer.
5. A survey of temporal knowledge discovery paradigms and methods
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