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OntoSoft: Capturing Scientific Software Metadata

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Published:07 October 2015Publication History

ABSTRACT

This paper presents OntoSoft, an ontology to describe metadata for scientific software. The ontology is designed considering how scientists would approach the reuse and sharing of software. This includes supporting a scientist to: 1) identify software, 2) understand and assess software, 3) execute software, 4) get support for the software, 5) do research with the software, and 6) update the software. The ontology is available in OWL and contains more than fifty terms. We are using OntoSoft to structure a software registry for geosciences, and to develop user interfaces to capture its metadata.

References

  1. Howison, J. and Herbsleb, J. D. "Scientific software production: incentives and collaboration." Proceedings of the ACM Conference on Computer-Supported Collaborative Work (CSCW), 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B. P. Heidorn. "Shedding Light on the Dark Data in the Long Tail of Science." Library Trends, 57(2), 2008.Google ScholarGoogle Scholar
  3. Oberle D., Lamparter S., Grimm S., Vrandecic D., Staab S., Gangemi A. "Towards Ontologies for Formalizing Modularization and Communication in Large Software Systems." Journal of Applied Ontology, Vol. 1, No. 2, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., Schneider, L. "Sweetening Ontologies with DOLCE." Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Siguenza, Spain, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. OntoSoft: Capturing Scientific Software Metadata

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    • Published in

      cover image ACM Other conferences
      K-CAP '15: Proceedings of the 8th International Conference on Knowledge Capture
      October 2015
      209 pages
      ISBN:9781450338493
      DOI:10.1145/2815833

      Copyright © 2015 ACM

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      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 October 2015

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      Qualifiers

      • short-paper
      • Research
      • Refereed limited

      Acceptance Rates

      K-CAP '15 Paper Acceptance Rate16of56submissions,29%Overall Acceptance Rate55of198submissions,28%

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