The spatial semantic hierarchy
Artificial Intelligence
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Language and Spatial Cognition
Language and Spatial Cognition
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Comparing formal theories of context in AI
Artificial Intelligence
ε-connections of abstract description systems
Artificial Intelligence
ICSTW '08 Proceedings of the 2008 IEEE International Conference on Software Testing Verification and Validation Workshop
Conservativity in Structured Ontologies
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Web Semantics: Science, Services and Agents on the World Wide Web
The heterogeneous tool set, HETS
TACAS'07 Proceedings of the 13th international conference on Tools and algorithms for the construction and analysis of systems
Projective relations in a 3d environment
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Exploiting qualitative spatial neighborhoods in the situation calculus
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
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Fundamenta Informaticae - Qualitative Spatial Reasoning
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RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Spatial role labeling: Towards extraction of spatial relations from natural language
ACM Transactions on Speech and Language Processing (TSLP)
SemEval-2012 task 3: spatial role labeling
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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We address the problem of relating natural language descriptions of spatial situations with spatial logical calculi, focusing on projective terms (orientations). We provide a formalism based on the theory of $\mathcal{E}$-connections that connects natural language and spatial calculi. Semantics of linguistic expressions are specified in a linguistically motivated ontology, the Generalized Upper Model. Spatial information is specified as qualitative spatial relationships, namely orientations from the double-cross calculus.This linguistic-spatial connection cannot be adequately formulated without certain contextual, domain-specific aspects. We therefore extend the framework of $\mathcal{E}$-connections twofold: (1) external descriptions narrow down the class of intended models, and (2) context-dependencies inherent in natural language descriptions feed back into the representation finite descriptions of necessary context information.