ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
An ontology framework for quality of geographical information services
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
W2GIS '08 Proceedings of the 8th International Symposium on Web and Wireless Geographical Information Systems
Overcoming semantic heterogeneity in spatial data infrastructures
Computers & Geosciences
Semantic Web-based geospatial knowledge transformation
Computers & Geosciences
Service-oriented applications for environmental models: Reusable geospatial services
Environmental Modelling & Software
Ontology-Based Integration of Sensor Web Services in Disaster Management
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
A rule-based description framework for the composition of geographic information services
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
SWING: an integrated environment for geospatial semantic web services
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Computers & Geosciences
Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation
International Journal of Applied Geospatial Research
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Geospatial semantics and linked spatiotemporal data --Past, present, and future
Semantic Web - On linked spatiotemporal data and geo-ontologies
Injecting Semantic Annotations into Geospatial Web service descriptions
Semantic Web - On linked spatiotemporal data and geo-ontologies
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The ability to process geospatial data will be a great benefit for spatial data infrastructures. This requires the ability to compose data providing services with geoprocessing services. 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 to use an ontology-based approach to GI service discovery, which rests on two ideas. Ontologies describing geospatial operations are used to create descriptions of requirements and service capabilities; matches between these descriptions are identified based on function subtyping. We use a running example from the geospatial domain to analyse which problems can occur in existing keyword- and ontology-based approaches and how the discovery of geoprocessing services differs from other service discovery tasks. The example is also used for illustrating the prototypical implementation of the proposed approach.