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Ontology Based Remote Sensing Information Service Intelligent Discovery and Composition

The paper introduces ontology into the field of remote sensing information services to research the three questions: Establishing a ontology-based remote sensing information service description model to provide semantic supports for the intelligent discovery and composition; Designing a four-level restrictions matching algorithm to improve the efficiency of service discovery; Designing a heuristic algorithm basing on weighted Graph Plan to realize intelligent service composition. Lastly, an instance in the field of remote sensing is conducted to validate the proposed approaches. The results indicate that the proposed approaches are valid for realizing intelligent remote sensing information discovery and composition.