UNIVERSITÉ LAVAL Centre for Research in Geomatics, Université Laval, Cité universitaire, Quebec, QC Canada G1K 7P4 Semantic Interoperability of Geospatial.

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Presentation transcript:

UNIVERSITÉ LAVAL Centre for Research in Geomatics, Université Laval, Cité universitaire, Quebec, QC Canada G1K 7P4 Semantic Interoperability of Geospatial Data Standards in action ISO/TC 211 Adelaide, Australia Jean Brodeur, M.Sc., PhD cand. Natural Resources Canada, Centre for Topographic Information 2144 King Street West Sherbrooke, QC Canada J1J 2E8

Semantic Interoperability of Geospatial Data 2 Multiple spatial data sources

Semantic Interoperability of Geospatial Data 3 Interoperability: a bi-directional process Conceptual framework of geospatial data interoperability The reality Topographic reality at a given time about which A u want information The cognitive model/ Concepts Abstraction of reality consisting of properties structured in concepts Queries using conceptual representations Physical signals of relevant properties of concepts in a specific situation Recognition of conceptual representations/ by concepts in database memory Assign a signification; infer concepts of similar meaning to A u 's concepts Answer with conceptual representations Encoded from concepts satisfying Au's interests Recognition of conceptual representations/ by concepts in cognitive model If infer the same concepts (R'), then interoperability happenned

Semantic Interoperability of Geospatial Data 4 Real-world phenomena and ontology Real-world phenomena identification and description have been studied in philosophy, AI, and database modelling Ontology –consist in a formal description of phenomena with an underlying vocabulary including definitions that make the intended meaning explicit and describe phenomena and their interrelationships [Gruber 1993; Guarino 1998] –is seen as an underlying layer providing linkage components between conceptual models to allow semantic interoperability; it provides identity to phenomena and their various representations through intrinsic (i.e. literal meaning) and extrinsic (i.e. meaning obtained from relationships with other phenomena) properties.

Semantic Interoperability of Geospatial Data 5 Five ontological phases of geospatial data interoperability R: the reality itself R': the A u 's cognitive model (its set of concepts) R'': the conceptual representations generated by A u R''': the A dp 's cognitive model (its set of concepts) R'''': the conceptual representations generated by A dp

Semantic Interoperability of Geospatial Data 6 Levels of ontology In AI, ontology is frequently subdivided in global ( e.g. Wordnet, CYC ), domain ( e.g. National Standards for the Exchange of Digital Topographic Data: Topographic Codes and Dictionary of Topographic Features ), and application ontologies ( e.g. National Topographic Data Base—Standards and Specifications ) distinguishing different levels of granularity. Together, they form the three levels of ontology

Semantic Interoperability of Geospatial Data 7 Ontology and geospatial data interoperability The conceptual framework along with the five ontological phases of geospatial data interoperability and the three levels of ontology constitute the overall picture to study semantic interoprability of geospatial data and could be described in a two-dimensional representation.

Semantic Interoperability of Geospatial Data 8 Other related aspects Context –governs real-world phenomena perception, abstraction and representation; –situation providing a conceptual representation with intrinsic and extrinsic properties and its real-world semantics [Kashyap and Sheth 1996; Wisse 2000]; Semantic proximity – context-based reasoning methodology; – expresses the similarity between conceptual representations.