Keynote address - data abstraction and hierarchy
OOPSLA '87 Addendum to the proceedings on Object-oriented programming systems, languages and applications (Addendum)
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Specification matching of software components
ACM Transactions on Software Engineering and Methodology (TOSEM)
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
An axiomatic basis for computer programming
Communications of the ACM
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Towards High-Precision Service Retrieval
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
Combining superposition, sorts and splitting
Handbook of automated reasoning
The description logic handbook
Automatic location of services
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Bringing semantics to web services: the OWL-S approach
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Overcoming semantic heterogeneity in spatial data infrastructures
Computers & Geosciences
A rule-based description framework for the composition of geographic information services
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Hi-index | 0.00 |
Spatial data infrastructures will greatly benefit from the ability to compose services providing geospatial data with services for processing these data. Discovering suitable geoprocessing services is a major challenge in this endeavour. Current (keyword-based) approaches to service discovery are inherently restricted by the ambiguities of natural language, which can lead to low precision and/or recall. To alleviate these problems, we propose a methodology for service discovery which uses ontologies describing geospatial operations to create descriptions of requirements and service capabilities. Matches between these descriptions are identified based on function subtyping. This paper investigates how this methodology an be integrated into existing architectures for spatial data infrastructures, and presents a prototypical implementation.