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SKIing with DOLCE : toward an e-Science knowledge infrastructure

Author
Organization
Abstract
We develop a general ontology of science knowledge for use in e-Science Knowledge Infrastructures (SKIo), to advance use of digitally represented scientific theories in these environments. SKIo extends the DOLCE foundational ontology with science knowledge primitives, such as science theories, models, and data. 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 illustrated in UML, encoded in OWL-DL, uses the Descriptions and Situations extension, and provides defining conditions for its primitives to enable an extensible and rigorous bridge between a foundational ontology and domain science ontologies. Testing with several environmental theories confirms the suitability of its representation.
Keywords
Dolce, Environmental Model, Science Ontology, Scientific Reasoning, TERRESTRIAL BIOSPHERE, SEMANTIC WEB, ONTOLOGY, MODEL

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Citation

Please use this url to cite or link to this publication:

MLA
Brodaric, Boyan, et al. “SKIing with DOLCE : Toward an e-Science Knowledge Infrastructure.” Frontiers in Artificial Intelligence and Applications, edited by C Eschenbach and M Gruninger, vol. 183, IOS Press, 2008, pp. 208–19.
APA
Brodaric, B., Reitsma, F., & Qiang, Y. (2008). SKIing with DOLCE : toward an e-Science knowledge infrastructure. In C. Eschenbach & M. Gruninger (Eds.), Frontiers in Artificial Intelligence and Applications (Vol. 183, pp. 208–219). Amsterdam, The Netherlands: IOS Press.
Chicago author-date
Brodaric, Boyan, Femke Reitsma, and Yi Qiang. 2008. “SKIing with DOLCE : Toward an e-Science Knowledge Infrastructure.” In Frontiers in Artificial Intelligence and Applications, edited by C Eschenbach and M Gruninger, 183:208–19. Amsterdam, The Netherlands: IOS Press.
Chicago author-date (all authors)
Brodaric, Boyan, Femke Reitsma, and Yi Qiang. 2008. “SKIing with DOLCE : Toward an e-Science Knowledge Infrastructure.” In Frontiers in Artificial Intelligence and Applications, ed by. C Eschenbach and M Gruninger, 183:208–219. Amsterdam, The Netherlands: IOS Press.
Vancouver
1.
Brodaric B, Reitsma F, Qiang Y. SKIing with DOLCE : toward an e-Science knowledge infrastructure. In: Eschenbach C, Gruninger M, editors. Frontiers in Artificial Intelligence and Applications. Amsterdam, The Netherlands: IOS Press; 2008. p. 208–19.
IEEE
[1]
B. Brodaric, F. Reitsma, and Y. Qiang, “SKIing with DOLCE : toward an e-Science knowledge infrastructure,” in Frontiers in Artificial Intelligence and Applications, Saarbrücken, Germany, 2008, vol. 183, pp. 208–219.
@inproceedings{723935,
  abstract     = {{We develop a general ontology of science knowledge for use in e-Science Knowledge Infrastructures (SKIo), to advance use of digitally represented scientific theories in these environments. SKIo extends the DOLCE foundational ontology with science knowledge primitives, such as science theories, models, and data. 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 illustrated in UML, encoded in OWL-DL, uses the Descriptions and Situations extension, and provides defining conditions for its primitives to enable an extensible and rigorous bridge between a foundational ontology and domain science ontologies. Testing with several environmental theories confirms the suitability of its representation.}},
  author       = {{Brodaric, Boyan and Reitsma, Femke and Qiang, Yi}},
  booktitle    = {{Frontiers in Artificial Intelligence and Applications}},
  editor       = {{Eschenbach, C and Gruninger, M}},
  isbn         = {{9781586039233}},
  issn         = {{0922-6389}},
  keywords     = {{Dolce,Environmental Model,Science Ontology,Scientific Reasoning,TERRESTRIAL BIOSPHERE,SEMANTIC WEB,ONTOLOGY,MODEL}},
  language     = {{eng}},
  location     = {{Saarbrücken, Germany}},
  pages        = {{208--219}},
  publisher    = {{IOS Press}},
  title        = {{SKIing with DOLCE : toward an e-Science knowledge infrastructure}},
  volume       = {{183}},
  year         = {{2008}},
}

Web of Science
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