Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Types and programming languages
Types and programming languages
A Taxonomy of Spatial Data Integrity Constraints
Geoinformatica
Data Quality Requirements Analysis and Modeling
Proceedings of the Ninth International Conference on Data Engineering
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Meditation to Deal with Heterogeneous Data Sources
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
Integrating GIS and Imagery Through XML-Based Information Mediation
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
A Petri net-based model for web service composition
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Composing Web services on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
POESIA: An ontological workflow approach for composing Web services in agriculture
The VLDB Journal — The International Journal on Very Large Data Bases
A Semantic Web Primer
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Information Sharing on the Semantic Web
Information Sharing on the Semantic Web
Filtering and Selecting Semantic Web Services with Interactive Composition Techniques
IEEE Intelligent Systems
Constraint Driven Web Service Composition in METEOR-S
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Current Solutions for Web Service Composition
IEEE Internet Computing
Flexible and Efficient Matchmaking and Ranking in Service Directories
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Formal functional description of semantic web services: the logic description method
Proceedings of the 2006 international workshop on Service-oriented software engineering
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Semantics-based automatic composition of geospatial Web service chains
Computers & Geosciences
Service oriented architectures: approaches, technologies and research issues
The VLDB Journal — The International Journal on Very Large Data Bases
Bringing Semantics to Web Services with OWL-S
World Wide Web
Semantic matchmaker with precondition and effect matching using SWRL
Expert Systems with Applications: An International Journal
Foundations of Semantic Web Technologies
Foundations of Semantic Web Technologies
A survey of automated web service composition methods
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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Service-Oriented Architecture and Web Services technologies improve the performance of activities involved in geospatial analysis with a distributed computing architecture. However, the design of the geospatial analysis process on this platform, by combining component Web Services, presents some open issues. The automated construction of these compositions represents an important research topic. Some approaches to solving this problem are based on AI planning methods coupled with semantic service descriptions. This work presents a new approach using AI planning methods to improve the robustness of the produced geospatial Web Services composition. For this purpose, we use semantic descriptions of geospatial data quality requirements in a rule-based form. These rules allow the semantic annotation of geospatial data and, coupled with the conditional planning method, this approach represents more precisely the situations of nonconformities with geodata quality that may occur during the execution of the Web Service composition. The service compositions produced by this method are more robust, thus improving process reliability when working with a composition of chained geospatial Web Services.