eSciDoc infrastructure: a fedora-based e-Research framework
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
Charting the digital library evaluation domain with a semantically enhanced mining methodology
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Capturing and Sharing Scientific Research Data
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
| Hi-index | 0.00 |
This paper describes an ontology for the representation of contextual information for laboratory-centered scientific experiments based on Core of Scientific Metadata Model. This information describes entities such as instruments, investigations, studies, researchers, and institutions that play a key role in the generation of research data, thus forming an important source for understanding the provenance of the data. Formalization of this information in the form of an ontology and reusing existing and well-established vocabularies foster the publication of research data and accompanying provenance metadata as Linked Open Data. Core Scientific Model Ontology (CSMO) is part of a larger effort, which includes data acquisition in the laboratory and semi-automated metadata generation. It is intended to support cataloging, data curation and data reuse. A formal definition of the RDF classes and properties introduced for CSMO is provided. We demonstrate the efficacy of this ontology by applying it to two different research domains.