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SWEET ontology coverage for earth system sciences.

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Title: SWEET ontology coverage for earth system sciences.
Authors: DiGiuseppe, Nicholas1 nicholas.digiuseppe@gmail.com, Pouchard, Line2 pouchardlc@ornl.gov, Noy, Natalya3 noy@stanford.edu
Source: Earth Science Informatics. Dec2014, Vol. 7 Issue 4, p249-264. 16p.
Subject Terms: *Ontologies (Information retrieval), *Earth sciences, *Environmental sciences, *Semantic Web
Company/Entity: United States. National Aeronautics & Space Administration
Abstract: Scientists in the Earth and Environmental Sciences (EES) domain increasingly use ontologies to analyze and integrate their data. For example, the NASA's SWEET ontologies (Semantic Web for Earth and Environmental Terminology) have become the de facto standard ontologies to represent the EES domain formally (Raskin ). Now we must develop principled ways both to evaluate existing ontologies and to ascertain their quality in a quantitative manner. Existing literature describes many potential quality metrics for ontologies. Among these metrics is the coverage metric, which approximates the relevancy of an ontology to a corpus (Yao et al. (PLoS Comput Biol 7(1):e1001055+, 2011)). This paper has three primary contributions to the EES domain: (1) we present an investigation of the applicability of existing coverage techniques for the EES domain; (2) we present a novel expansion of existing techniques that uses thesauri to generate equivalence and subclass axioms automatically; and (3) we present an experiment to establish an upper-bound coverage expectation for the SWEET ontologies against real-world EES corpora from DataONE (Michener et al. (Ecol Inform 11:5-15, 2012)), and a corpus designed from research articles to specifically match the topics covered by the SWEET ontologies. This initial evaluation suggests that the SWEET ontology can accurately represent real corpora within the EES domain. [ABSTRACT FROM AUTHOR]
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  Data: SWEET ontology coverage for earth system sciences.
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  Data: <searchLink fieldCode="AR" term="%22DiGiuseppe%2C+Nicholas%22">DiGiuseppe, Nicholas</searchLink><relatesTo>1</relatesTo><i> nicholas.digiuseppe@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pouchard%2C+Line%22">Pouchard, Line</searchLink><relatesTo>2</relatesTo><i> pouchardlc@ornl.gov</i><br /><searchLink fieldCode="AR" term="%22Noy%2C+Natalya%22">Noy, Natalya</searchLink><relatesTo>3</relatesTo><i> noy@stanford.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Earth+Science+Informatics%22">Earth Science Informatics</searchLink>. Dec2014, Vol. 7 Issue 4, p249-264. 16p.
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  Data: *<searchLink fieldCode="DE" term="%22Ontologies+%28Information+retrieval%29%22">Ontologies (Information retrieval)</searchLink><br />*<searchLink fieldCode="DE" term="%22Earth+sciences%22">Earth sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22Semantic+Web%22">Semantic Web</searchLink>
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  Data: Scientists in the Earth and Environmental Sciences (EES) domain increasingly use ontologies to analyze and integrate their data. For example, the NASA's SWEET ontologies (Semantic Web for Earth and Environmental Terminology) have become the de facto standard ontologies to represent the EES domain formally (Raskin ). Now we must develop principled ways both to evaluate existing ontologies and to ascertain their quality in a quantitative manner. Existing literature describes many potential quality metrics for ontologies. Among these metrics is the coverage metric, which approximates the relevancy of an ontology to a corpus (Yao et al. (PLoS Comput Biol 7(1):e1001055+, 2011)). This paper has three primary contributions to the EES domain: (1) we present an investigation of the applicability of existing coverage techniques for the EES domain; (2) we present a novel expansion of existing techniques that uses thesauri to generate equivalence and subclass axioms automatically; and (3) we present an experiment to establish an upper-bound coverage expectation for the SWEET ontologies against real-world EES corpora from DataONE (Michener et al. (Ecol Inform 11:5-15, 2012)), and a corpus designed from research articles to specifically match the topics covered by the SWEET ontologies. This initial evaluation suggests that the SWEET ontology can accurately represent real corpora within the EES domain. [ABSTRACT FROM AUTHOR]
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      – SubjectFull: Earth sciences
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      – SubjectFull: Environmental sciences
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              Text: Dec2014
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