A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Handling semantic heterogeneities using declarative agreements
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Don't Scrap It, Wrap It! A Wrapper Architecture for Legacy Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
ISIS: A Semantic Mediation Model and an Agent Based Architecture for GIS Interoperability
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
The virGIS WFS-based spatial mediation system
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Ontology-Based Geospatial Data Query and Integration
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Using SOA and RIAs for water data discovery and retrieval
Environmental Modelling & Software
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Successful information integration and sharing data across disparate systems and designs are required for fast access to and interpretation of many types of geospatial information. Spatial data are highly heterogeneous - not only they differ from data representation and storage methods, but they also differ in the way of querying the data. Finding and accessing spatial data in an environment like this is a crucial task. Enterprise geographic information system (E-GIS) is an organization-wide approach to GIS implementation, operation, and management. The main focus of the paper is to integrate diverse spatial data repositories for geographic applications using service-based methodology. We have adopted service-oriented architecture (SOA) for the discovery and retrieval of geospatial data. The architecture uses a central ontology as metadata information, which acts as service broker. Ontology-based discovery and retrieval of geographic data solves the problem of semantic heterogeneity, the major bottleneck for spatial interoperability. The implementation is in compliant with the Web Map Service (WMS) and Web Feature Service (WFS), the web service standards proposed by OGC. The need for loosely coupled service-based access of data in the spatial domain has been exploited. A query processing mechanism in distributed environment of spatial data sources has been discussed at the end. The proposed system has been implemented and fully tested.