A knowledge environment for the biodiversity and ecological sciences
Journal of Intelligent Information Systems
Integration and verification of semantic constraints in adaptive process management systems
Data & Knowledge Engineering
Overcoming semantic heterogeneity in spatial data infrastructures
Computers & Geosciences
Flexible concept-based argumentation in dynamic scenes
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Semantic correctness in adaptive process management systems
BPM'06 Proceedings of the 4th international conference on Business Process Management
A calculus for propagating semantic annotations through scientific workflow queries
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
| Hi-index | 0.00 |
In many data-centric scientific applications it is common toregister datasets and computational services with a federationregistry (also commonly called a catalog, directory, orrepository). For example, the scientific data-handling systemunder development in the SEEK project must considervarious dataset registries, including: MCAT, for access toSRB-registered datasets [SDSC Storage Resource Broker (SRB)]; Metacat, for KNB-registered datasets [http://knb.ecoinformatics.org/software/metacat/]; DiGIR, for UDDI-registered data [Distributed Generic Information Retrieval (DiGIR)]; and Xanthoria,an XML-based data registry [A distributed query system for XML encoded data]. A challenge for SEEK, and similar efforts such as GEON, is to provideuniform access to registries and registered resources, basedon emerging web and grid standards.Providing uniform access is especially difficult for scientificresources due to their inherent structural and semanticheterogeneity. We focus on the use of ontologies for semanticallyregistering scientific resources, and consider theimplications of semantic registration for enabling uniformregistry-based operations. In general, the use of ontologiesoffers richer contructs and more flexibility for classifying,discovering, and integrating scientific resources when comparedwith typical keyword-based metadata approaches.