Motivation
The use of a standard Grid platform as a main communication backbone resolves heterogeneities on the level of computing systems, but does not solve the heterogeneity of data used in particular applications and data storages.
What is an Ontology?
An ontology is a formal, explicit specification of a shared conceptualization. It resembles faceted taxonomies but uses richer semantic relationships among terms and attributes, as well as strict rules about how to specify terms and relationships.
Contribution
User-oriented system for composition of scientific workflows and semantic integration of heterogeneous Grid resources:
User-friendly means for composition of decision-making workflows
Grid Services for discovery and semantic integration of resources
Ontology-driven user-oriented integration technique
 Fig. 1: Example of Hydrological Model Ontology
Three-Layered Architecture for Ontology-based Integration of Resources
Application
Our system is evaluated by the use case “Best source of irrigation water”. Here, WaSiM and GAMS simulation systems will be integrated to evaluate the conjunctive use of surface and groundwater in reservoir based irrigation systems. The following figure presents how it works in Workflow Composition layer, Semantic Matching and Semantic Mapping layers respectively.
Person in Charge: Yan Leng
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