Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Grounding geographic categories in the meaningful environment
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
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What is the intended interpretation of a geospatial database in terms of reproducible experiences? How should places on a digital globe be interpreted on the earth surface? And how can their spatial relations be reconstructed? How should road network databases be interpreted in terms of observable traffic infrastructure? And how is data about waterways and their depths to be interpreted in terms of observable water bodies? In this paper, I argue that successful information retrieval and querying of data in context-free environments requires that such data interpretations need to be effectively coordinated . I give four arguments why the current approaches to semantic engineering fail as methods in that respect, and why a `grounding' approach to describe their semantics is necessary.