Abstract
Managing research data often requires the creation or reuse of specialised metadata schemas to satisfy the metadata requirements of each research group. Ontologies present several advantages over metadata schemas. In particular, they can be shared and improved upon more easily, providing the flexibility required to establish relationships between datasets and concepts from distinct domains. In this paper, we present a preliminary experiment on the use of ontologies for the description of biodiversity datasets. With a strong focus on the dynamics of individual species, species diversity, biological communities and ecosystems, the Predictive Ecology research group of CIBIO has adopted the INSPIRE European recommendation as the primary tool for metadata compliance across its research data description. We build upon this experience to model the BIOME ontology for the biodiversity domain. The ontology combines concepts from INSPIRE, matching them against the ones defined in the Dublin Core, FOAF and CERIF ontologies. Dendro, a prototype for collaborative data description, uses the ontology to provide an environment where biodiversity metadata records are available as Linked Open Data.
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References
Baca, M.: Practical Issues in Applying Metadata Schemas and Controlled Vocabularies to Cultural Heritage. Cataloging & Classification Quarterly April 2014, 37–41 (2003)
Bartha, G., Kocsis, S.: Standardization of Geographic Data: The European INSPIRE directive. European Journal of Geography, 79–89 (2011)
Berners-Lee, T.: Linked Data—Design Issues (2006)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Borgman, C.: The conundrum of sharing research data. Journal of the American Society for Information Science and Technology 63(6) (2012)
Brickley, D., Guha, R.V.: RDF Schema 1.1 W3C Recommendation (2014)
Butchart, S., Walpole, M., et al.: Global Biodiversity: Indicators of Recent Declines. Science 328(5982), 1164–1168 (2010)
Chan, L.M.: Metadata Interoperability and Standardization - A Study of Methodology Part I. D-Lib Magazine, 1–34 (2006)
European Commission. State of progress in the development of guidelines to express elements of the INSPIRE metadata implementing rules using ISO15836. Technical report, European Commission (2008)
Corcho, O.: Ontology based document annotation: trends and open research problems. International Journal of Metadata, Semantics and Ontologies 1(1), 47–57 (2006)
Day, M.: Integrating metadata schema registries with digital preservation systems to support interoperability: a proposal. In: International Conference on Dublin Core and Metadata Applications, DC-2003 (2003)
International Organization for Standardization. ISO 19115:2003 Geography Information - Metadata. Technical report (2003)
Honrado, J., Alonso, J., Castro, P., et al.: The BIO_SOS metadata geoportal and the external quality of pre-existing datasets. Deliverable 4.5 of the FP7 project BIO_SOS. Appendix 1. Technical report (2010)
Jones, M.B., Berkley, C., Bojilova, J., Schildhauer, M.: Managing scientific metadata. IEEE Internet Computing 5(5), 59–68 (2001)
Lomba, A., Guerra, C., Alonso, J., Honrado, J., Jongman, R., McCracken, D.: Mapping and monitoring High Nature Value farmlands: Challenges in European landscapes. Journal of Environmental Management 143C, 140–150 (2014)
Madin, J., Bowers, S., Schildhauer, M., Krivov, S., Pennington, D., Villa, F.: An ontology for describing and synthesizing ecological observation data. Ecological Informatics 2(3), 279–296 (2007)
Pereira, J., Brummitt, H.M., et al.: Global biodiversity monitoring. Frontiers in Ecology and the Environment 8, 459–460 (2010)
Pôças, I., Gonçalves, J., Marcos, B., Alonso, J., Castro, P., Honrado, J.: Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring. International Journal of Geographical Information Science (June), 1–16 (2014)
Rocha, J., Castro, J., Ribeiro, C., Lopes, J.C.: Dendro: collaborative research data management built on linked open data. In: Proceedings of the 11th European Semantic Web Conference (2014)
Rocha, J., Castro, J., Ribeiro, C., Lopes, J.C.: The Dendro research data management platform: Applying ontologies to long-term preservation in a collaborative environment. In: Proceedings of the iPres 2014 Conference (2014)
Rocha, J., Ribeiro, C., Lopes, J.C.: Ontology-based multi-domain metadata for research data management using triple stores. In: Proceedings of the 18th International Database Engineering & Applications Symposium (2014)
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da Silva, J.R., Castro, J.A., Ribeiro, C., Honrado, J., Lomba, Â., Gonçalves, J. (2014). Beyond INSPIRE: An Ontology for Biodiversity Metadata Records. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_61
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DOI: https://doi.org/10.1007/978-3-662-45550-0_61
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