Breaking the book: translating the chemistry lab book into a pervasive computing lab environment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Enhancing access to research data: the challenge of crystallography
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
A Semantic Datagrid for Combinatorial Chemistry
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
The Semantic Grid and chemistry: Experiences with CombeChem
Web Semantics: Science, Services and Agents on the World Wide Web
Atomicity and provenance support for pipelined scientific workflows
Future Generation Computer Systems
Semantic middleware for e-science knowledge spaces
Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science
RDFProv: A relational RDF store for querying and managing scientific workflow provenance
Data & Knowledge Engineering
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
e-Science and the semantic web: a symbiotic relationship
DS'06 Proceedings of the 9th international conference on Discovery Science
Toward the modeling of data provenance in scientific publications
Computer Standards & Interfaces
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The CombeChem e-Science project has demonstrated the advantages of using Semantic Web technology, in particular RDF and triplestores, to describe and link diverse and complex chemical information, covering the whole process of the generation of chemical knowledge from inception in the synthetic chemistry laboratory, through analysis of the materials made which generates physical measurements, computations based on this data to develop interpretations, and the subsequent dissemination of the knowledge gained. The project successfully adopted a strategy of capturing semantic annotations ‘at source' and establishing schema and ontologies based closely on current operational practice in order to facilitate implementation and adoption. The resulting ‘Semantic Data Grid' comprises around 45 million RDF triples across multiple stores.