Metric details for natural-language spatial relations
ACM Transactions on Information Systems (TOIS)
Individual and multipersonal fuzzy spatial relations acquired using human-machine interaction
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Reasoning about Gradual Changes of Topological Relationships
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
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
Natural-language spatial relations: metric refinements of topological properties
Natural-language spatial relations: metric refinements of topological properties
International Journal of Geographical Information Science
Metric details of topological line-line relations
International Journal of Geographical Information Science
Hybrid model for semantic similarity measurement
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Geospatial semantics: why, of what, and how?
Journal on Data Semantics III
Spatial relations for semantic similarity measurement
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
The endpoint hypothesis: a topological-cognitive assessment of geographic scale movement patterns
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Towards duplicate detection for situation awareness based on spatio-temporal relations
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Building a global normalized ontology for integrating geographic data sources
Computers & Geosciences
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Consistent and flawless communication between humans and machines is the precondition for a computer to process instructions correctly. While machines use well-defined languages and formal rules to process information, humans prefer natural language expressions with vague semantics. Similarity comparisons are central to the human way of thinking: we use similarity for reasoning on new information or new situations by comparing them to knowledge gained from similar experiences in the past. It is necessary to overcome the differences in representing and processing information to avoid communication errors and computation failures.We introduce an approach to formalize the semantics of natural language spatial relations and specify it in a computational model which allows for similarity comparisons. This paper describes an experiment that investigates human similarity perception between spatial relations and compares it to the similarity determined by the our semantic similarity measure.