Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
GOL: toward an axiomatized upper-level ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Supporting ontological analysis of taxonomic relationships
Data & Knowledge Engineering - ER2000
Sweetening Ontologies with DOLCE
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
AI Magazine
Foundations for service ontologies: aligning OWL-S to dolce
Proceedings of the 13th international conference on World Wide Web
Geospatial semantics: why, of what, and how?
Journal on Data Semantics III
Ontology-Based Geospatial Data Query and Integration
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
A Stimulus-Centric Algebraic Approach to Sensors and Observations
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
A Functional Ontology of Observation and Measurement
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
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Geographic information is based on observations or measurements. The Open Geospatial Consortium (OGC) has developed an implementation specification for observations and measurements (O&M). It specifies precisely how to encode information. Yet, the O&M conceptual model does not specify precisely which real-world entities are denoted by the specified information objects. We provide formal semantics for the central O&M terms by aligning them to the foundational ontology DOLCE. The alignment to a foundational ontology restricts the possible interpretations of the central elements in the O&M model and establishes explicit relations between categories of real world entities and classes of information objects. These relations are essential for assessing semantic interoperability between geospatial information sources.