E-Science 2010. 6th IEEE International Conference on E-Science (E-Science 2010) (2010)
Dec. 7, 2010 to Dec. 10, 2010
Data management has become a critical challenge faced by a wide array of scientific disciplines in which the provision of sound data management is pivotal to the achievements and impact of research projects. Massive and rapidly expanding amounts of data combined with data models that evolve over time contribute to making data management an increasingly challenging task that warrants a rethinking of its design. In this paper we present PODD, an ontology-centric architecture for data management systems that is extensible and domain independent. In this architecture, the behaviors of domain concepts and objects are captured entirely by ontological entities, around which all data management tasks are carried out. The open and semantic nature of ontology languages also makes PODD amenable to greater data reuse and interoperability. To evaluate the PODD architecture, we have applied it to the challenge of managing phenomics data.
biology computing, database management systems, information management, knowledge representation languages, ontologies (artificial intelligence), scientific information systems, semantic Web
Y. Li, G. Kennedy, F. Davies and J. Hunter, "PODD - Towards an Extensible, Domain-Agnostic Scientific Data Management System," E-Science 2010. 6th IEEE International Conference on E-Science (E-Science 2010)(E-SCIENCE), Brisbane, QLD, 2011, pp. 137-144.