Author:
Roman Katerinenko
Affiliation:
Oracle, Germany
Keyword(s):
Qualitative Spatial Reasoning, Rule-based Reasoning, CDC, RCC-8, RDF, Semantic Web, OWL.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Collaboration and e-Services
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
In recent years, significant achievements have been made on handling qualitative spatial relations in the field
of qualitative spatial reasoning. These achievements can be utilized to bridge the gap between geometries and
semantics of real-world objects. With this purpose we introduce the Semantic Spatial Reasoning conceptual
framework for reasoning with information of mixed types: qualitative-quantitative spatial and information
described with the help of the Semantic Web technologies. The objective of this framework is not to be a
particular reasoning algorithm but a conceptual decomposition suitable for showing benefits of the combined
reasoning approach, forecasting practical applications and giving a clue for an implementation. Modular
structure of the framework makes it useful to model various tasks in areas, such as, GIS, cognitive vision,
computer-aided design, data integration.