Spatial Cognition - Expressive Representation Formalisms and Effective Reasoning Mechanisms

Funding or Partner Organisation: Australian Research Council (ARC Future Fellowships)

Start year: 2010

Summary: The next generation of innovative systems such as geo-location services based on Google maps will require sophisticated support from spatial cognition. Current formalisms for spatial knowledge neglect internal structure, lack effective reasoning mechanisms for hybrid spatial constraints, and do not reflect the hierarchical nature of spatial knowledge. This project aims to establish expressive representation formalisms of spatial knowledge and provide effective reasoning mechanisms. I will establish a formal model for representing the internal structure of complex objects, and a hierarchical approach to spatial representation and reasoning, and effective reasoning mechanisms that can cope with hybrid spatial constraints.'',

Publications:

Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 1970, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM'15: 24th ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Düntsch, I & Li, S 2013, 'On the homogeneous countable Boolean contact algebra', Logic and Logical Philosophy, vol. 22, no. 2, pp. 213-251.
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Li, S, Liu, W & Wang, S 2013, 'Qualitative constraint satisfaction problems: An extended framework with landmarks', Artificial Intelligence, vol. 201, no. 1, pp. 32-58.
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Long, Z & Li, S 2013, 'A complete classification of spatial relations using the Voronoi-based nine-intersection model', International Journal of Geographical Information Science, vol. 27, no. 10, pp. 2006-2025.
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Li, JJ & Li, S 1970, 'On Finding Approximate Solutions of Qualitative Constraint Networks', 2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, Herndon, VA, USA, pp. 30-37.
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Schockaert, S & Li, S 1970, 'Combining RCC5 relations with betweenness information', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, Beijing, China, pp. 1083-1089.

Duckham, M, Jeong, MH, Li, S & Renz, J 1970, 'Decentralized querying of topological relations between regions without using localization', Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '10: 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, San Jose, USA, pp. 414-417.
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Li, S 1970, 'A layered graph representation for complex regions', Proceedings of the International Conference on Knowledge Representation and Reasoning, International Conference on the Principles of Knowledge Representation and Reasoning, AAAI, Toronto, Canada, pp. 581-583.

Keywords: Spatial Cognition, Spatial Reasoning, Knowledge Representation and Reasoning, Geographical Information Sciences, Artificial Intelligence,

FOR Codes: Artificial Intelligence and Image Processing, Geospatial Information Systems, Expanding Knowledge in Psychology and Cognitive Sciences, Knowledge Representation and Machine Learning, Geospatial information systems and geospatial data modelling, Data mining and knowledge discovery, Machine learning, Expanding knowledge in psychology

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.