The GeoLink Modular Oceanography Ontology
GeoLink is one of the building block projects within EarthCube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reus
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Wright State University, Dayton, USA [email protected] 2 University of California, Santa Barbara, USA Lamont-Doherty Earth Observatory, Columbia University, New York, USA 4 Woods Hole Oceanographic Institution, Woods Hole, USA 5 Consortium for Ocean Leadership, Washington, USA 6 University of Maryland, Baltimore County, Baltimore, USA 7 Marymount University, Arlington, USA 8 Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia
Abstract. GeoLink is one of the building block projects within EarthCube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reuse, and integration of seven geoscience data repositories through the use of ontologies. In this paper, we report on the GeoLink modular ontology, which consists of an interlinked collection of ontology design patterns engineered as the result of a collaborative modeling effort. We explain our design choices, present selected modeling details, and discuss how data integration can be achieved using the patterns while respecting the existing heterogeneity within the participating repositories.
Keywords: Ontology design pattern Collaborative modeling
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· Data integration · Geoscience ·
Introduction
Like in other branches of science, data holds a very prominent role in conducting research inquiries in ocean science. A number of synthesis centers sponsored by the National Science Foundation (NSF), such as NCEAS and NESCent, have provided evidences that coupling existing data with interdisciplinary collaboration and analyses can lead to exciting and novel scientific insights, which would be almost impossible to achieve traditionally [3,5,11]. This leads to the establishing of ocean (and generally, geo-)science data repositories, such as BCO-DMO, DataONE, and IODP, which contributes to a significant improvement particularly in data preservation. Such data repositories are typically designed to serve c Springer International Publishing Switzerland 2015 M. Arenas et al. (Eds.): ISWC 2015, Part II, LNCS 9367, pp. 301–309, 2015. DOI: 10.1007/978-3-319-25010-6 19
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specific parts of the geoscience research community, making data management and quality control more tractable. On the flip side, however, data become highly heterogeneus because of the differences in data formats, methods of access, and nuances in the conceptualization. This can cause frustration for researchers when attempting to find and integrate relevant data from these multiple repositories to perform an integrative analysis [12]. This problem and other related knowledge management problems led to the launching of the EarthCube program by NSF. EarthCube is a major, community-led effort to upgrade cyberinfrastructure for the geosciences consisting of various building block projects and research coordination networks, all aiming to enable extensive cross-discipline data sharing and integration, to allow global data discovery, and to tr
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