An ontology-centric architecture for extensible scientific data management systems
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 new approach. In this paper we present an ontology-centric architecture for data management systems that is...[Show more]
|Collections||ANU Research Publications|
|Source:||Future Generation Computer Systems|
|01_Li_An_ontology-centric_2013.pdf||1.44 MB||Adobe PDF||Request a copy|
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