Language and Spatial Cognition
Language and Spatial Cognition
ACM Transactions on Computational Logic (TOCL)
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
ε-connections of abstract description systems
Artificial Intelligence
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Semantic categories underlying the meaning of 'place'
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
Towards dialogue based shared control of navigating robots
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Ontological diversity: the case from space
Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
A linguistic ontology of space for natural language processing
Artificial Intelligence
Spatial role labeling: Towards extraction of spatial relations from natural language
ACM Transactions on Speech and Language Processing (TSLP)
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We aim to combine the semantics of spatial natural language specified as a linguistically motivated ontology, the Generalized Upper Model, with spatial logics or ontologies that specify space according to certain conceptualisations, based on regions, shapes, orientations, distances, or object properties. Such combinations, however, introduce uncertainties of various kinds, caused by different levels of detail in the definition of one of the spatial ontologies, underspecifications within parts of an ontology, or different viewpoints of the topics the ontologies address. To model these problems formally, we extend the combination technique of E-connections by adding (heterogeneous) similarity measures. Local similarity compares objects within one domain, whilst comparing objects across domains leads to similarity measures that are motivated by and based on counterpart-theoretic semantics. The new formalism is called S-connection.