Knowledge Processes and Ontologies
IEEE Intelligent Systems
Scientific data management in the coming decade
ACM SIGMOD Record
The Emerging Field of Semantic Scientific Knowledge Integration
IEEE Intelligent Systems
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Explaining answers from the Semantic Web: the Inference Web approach
Web Semantics: Science, Services and Agents on the World Wide Web
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
Design science in information systems research
MIS Quarterly
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The past few years have witnessed unparalleled efforts to make scientific data web accessible. The Semantic Web has proven invaluable in this effort; however, much of the literature is devoted to system design, ontology creation, and trials and tribulations of current technologies. In order to fully develop the nascent field of Semantic e-Science we must also evaluate systems in real-world settings. We describe a case study within the field of Heliophysics and provide a comparison of the evolutionary stages of data discovery, from manual to semantically enable. We describe the socio-technical implications of moving toward automated and intelligent data discovery. In doing so, we highlight how this process enhances what is currently being done manually in various scientific disciplines. Our case study illustrates that Semantic e-Science is more than just semantic search. The integration of search with web services, relational databases, and other cyberinfrastructure is a central tenet of our case study and one that we believe has applicability as a generalized research area within Semantic e-Science. This case study illustrates a specific example of the benefits, and limitations, of semantically replicating data discovery. We show examples of significant reductions in time and effort enable by Semantic e-Science; yet, we argue that a ''complete'' solution requires integrating semantic search with other research areas such as data provenance and web services.