SKIing with DOLCE: toward an e-Science Knowledge Infrastructure

Authors:
Boyan Brodaric;Femke Reitsma;Yi Qiang
Affiliations:
Geolological Survey of Canada, Ottawa, brodaric@nrcan.gc.ca;UK National e-Science Center, University of Edinburgh, femkereitsma@gmail.com, yi_qiang@hotmail.com;UK National e-Science Center, University of Edinburgh, femkereitsma@gmail.com, yi_qiang@hotmail.com
Venue:
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Year:
2008

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Abstract

An ontology of general science knowledge (SKIo) is developed to enhance machine representation and use of scientific theories in emerging e-Science Knowledge Infrastructures. SKIo specializes the DOLCE foundational ontology with science knowledge primitives, such as science theory, model, data, prediction, and induction. These are arranged to reflect the complex knowledge structures used in science, such as scientific ideas playing different roles within and between theories. SKIo is encoded with OWL-DL, uses the DOLCE Descriptions and Situations module, and provides defining conditions for its primitives to enable an extensible bridge between DOLCE and domain science ontologies. An application to environmental theories is demonstrated, and its utility to other natural sciences is promising.