Earth Science Informatics

, Volume 8, Issue 3, pp 649–661

A semantically enabled metadata repository for scientific data

  • Anne Wilson
  • Michael Cox
  • Don Elsborg
  • Doug Lindholm
  • Tyler Traver
Methodology Article

Abstract

The LASP Extended Metadata Repository (LEMR) is a semantically enabled repository of information (metadata) about the scientific datasets that LASP offers to the public. The repository enables the provision of consistent, current, verified metadata to our users. It serves as a Single Source of Truth for this information, enabling more rigorous metadata management and addressing problems related to duplication of information. The linked open data aspect of the repository allows interlinking of concepts both within and across organizations and web sites. Associated interfaces allow users to browse and search the metadata. This information can be dynamically incorporated into web pages, so web page content is always up-to-date and consistent across the lab. With this information we can generate metadata records in a variety of schemas, such as ISO or SPASE, allowing federation with other organizations interested in our data. We leveraged open source technologies to build the repository and the dynamic web pages that read from it. VIVO, an open source semantic web application, provided key capabilities such as ontology and triple store management interfaces. AngularJS, an open source JavaScript framework for building web dynamic applications, was also invaluable in developing web pages that provide semantically enabled public interfaces to the metadata. In this paper we discuss our use of these tools and what we had to craft in order to meet our lab-specific needs.

Keywords

Semantic Dynamic Metadata Repository Ontology Infrastructure eScience 

References

  1. Arko R (2014) EarthCube Building Blocks: OceanLink, Leveraging Semantics and Linked Data for Geoscience Data Sharing and Discovery.” Presented at Open Geospatial Consortium’s Technical and Planning Committee Meeting, Crystal City, VA, March, http://www.oceanlink.org/papers/OceanLink-Arko.pdf
  2. Fox P, McGuinness DL, Cinquini L, West P, Garcia J, Benedict J, Middleton D (2009) Ontology-supported scientific data frameworks: the virtual solar terrestrial observatory experience. Comput Geosci 35(4):724–738CrossRefGoogle Scholar
  3. Gewin V (2009) Networking in VIVO, An interdisciplinary networking site for scientists. Nature 462, 123 (4 November 2009) | 10.1038/nj7269-123a
  4. Green Brad, Seshadri Shyam (2013) AngularJS (1st ed.). O’Reilly Media. p. 150. (March 22, 2013) ISBN 978–1449344856.Google Scholar
  5. Hitzler P (2014) “Ontology Design Patterns for Large-Scale Data Interchange and Discovery.” Conference Keynote at EKAW 2014, the 29th International Conference on Knowledge Engineering and Knowledge Management, Linkoping, Sweden, NovemberGoogle Scholar
  6. Klein M., Fensel D (2001) “Ontology versioning on the Semantic Web.” SWWS. 2001Google Scholar
  7. Kozlowski Pawel, Darwin Peter Bacon (2013) Mastering Web Application Development with AngularJS (1st ed.). Packt Publishing. p. 372. (August 23, 2013) ISBN 978–1782161820.Google Scholar
  8. Krafft, D., Cappadona, A., Caruso, B., Corson-Rikert, J., Devare, M., Lowe, B., (2010) VIVO: Enabling National Networking of Scientists, Web Science Conf., April 26-27, 2010, Raleigh, NCGoogle Scholar
  9. Lassila O., Swick R. R. (1998) Resource Description Framework (RDF) model and syntax specification.Google Scholar
  10. McGuinness, D.L., P. Fox, L. Cinquini, P. West, J. Garcia, J.L. Benedict, D. Middleton (2007) The virtual solar-terrestrial observatory: a deployed Semantic Web application case study for scientific research. In the proceedings of the 19th Conference on Innovative Applications of Artificial Intelligence (IAAI). Vancouver, BC, Canada, July 2007, pp. 1730–1737 and AI magazine, 29, #1, pp. 65–76Google Scholar
  11. Merka J., Narock T., Szabo A. (2008) Navigating through SPASE to heliospheric and magnetospheric data. Earth Science Informatics 1 (1) (April, 2008) doi:10.1007/s12145-008-0004-5
  12. Narock T., Fox P. (2012) From Science to e-Science to Semantic e-Science: A Heliophysics case study. J Comput Geosci, Vol 46, September, 2012, Pages 248–254, doi: 10.1016/j.cageo.2011.11.018
  13. Narock T., King T. (2008) Developing a SPASE query language. Earth Science Informatics 1 (1). doi:10.1007/s12145-008-0007-2 (April, 2008).
  14. Narock TW, Szabo A, Merka J (2009) Using semantics to extend the space physics data environment. Comput Geosci 35(4):791–797CrossRefGoogle Scholar
  15. Raskin RG, Pan MJ (2005) Knowledge representation in the semantic web for earth and environmental terminology (SWEET). Comput Geosci 31(9):1119–1125CrossRefGoogle Scholar
  16. Wilson, A., Lindholm, D.M., Ware DeWolfe, A., Lindholm, C., Pankratz, C.K., Snow, D.M. Woods, T.N. (2009) LISIRD 2: Applying Standards and Open Source Software in Exploring and Serving Scientific Data, AGU 2009 IN41A-1122.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Anne Wilson
    • 1
  • Michael Cox
    • 1
  • Don Elsborg
    • 1
  • Doug Lindholm
    • 1
  • Tyler Traver
    • 1
  1. 1.Laboratory for Atmospheric and Space PhysicsUniversity of Colorado at BoulderBoulderUSA

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