Abstract
Large-scale cross-disciplinary scientific collaborations require an overarching semantics-based and service-oriented cyberinfrastructure. However, the ad hoc and incoherent integration of computational and storage resources, data sources from sensor networks, as well as scientific data sharing and knowledge inference models cannot effectively support cross-domain and collaborative scientific research. Thus, we propose an integrated ontology management and data sharing framework which builds upon the advancements in object-oriented database design, semantic Web, and service-oriented architecture to form the key data sharing backbone. The framework has been implemented to cater for data sharing needs for large-scale sensor deployments from disparate scientific domains. This enables each participating scientific community to publish, search, and access the data across the cyberinfrastructure in a service-oriented manner, accompanied by the domain-specific knowledge.