Abstract
We present a framework for semantically-enabled data discovery and integration across multiple Earth science disciplines. We leverage well-known vocabularies and ontologies to build semantic models for both metadata and data harmonization. Built upon standard guidelines, our metadata model extends them with richer semantics. To harmonize data, we implement an observation-centric data model based on the RDF Data Cube vocabulary. Previous works define the Data Cube extensions which are relevant to certain Earth science disciplines. To provide a generic and domain independent solution, we propose an upper level vocabulary that allows us to express domain specific information at a higher level of abstraction.
From a human viewpoint we provide an interactive Web based user interface for data discovery and integration across multiple research infrastructures. We will demonstrate the system on a use case of the Iceland Volcano’s eruption on April 10, 2010.
This work was supported by the EU-FP7 (FP7/2007-2013) project ENVRI (grant number 283465).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ziegler, P., Dittrich, K.R.: Three Decades of Data Integration - All Problems Solved? In: 18th IFIP World Computer Congress, WCC 2004 (2004)
McGuinness, D., Fox, P., Cinquini, L., West, P., Garcia, J., Benedict, J., Middleton, D.: The virtual solar-terrestrial observatory: A deployed semantic web application case study for scientific research. In: Proceedings of the 19th National Conference on Innovative Applications of Artificial Intelligence (2007)
Rezgui, A., Malik, Z., Sihna, A.K.: DIA Engine: Semantic Discovery, Integration, and Analysis of Earth Science Data. In: Proceedings of the Geoinformatics Conference (2007)
Sinha, A.K., Malik, Z., Rezgui, A., Dalton, A.: Developing the ontologic framework and tools for the discovery and integration of Earth science data. Cyberinfrastructure Research at Virginia Tech (2006)
Raskin, R., Pan, M.: Semantic Web for Earth and Environmental Terminology (SWEET). In: Proc. of the Workshop on Semantic Web Technologies for Searching and Retrieving Scientific Data (2003)
Bizer, C., Heath, T., Idehen, K., Berners-Lee, T.: Linked Data: Evolving the Web into a Global Data Space, vol. 1. ACM Press (2008), http://linkeddatabook.com/editions/1.0/
RĂĽther, M., Fock, J., Hubener, J.: Linked Environmental Data. In: 24th International Conference on Informatics for Environmental Protection (2010)
Pundt, H., Bishr, Y.: Domain ontologies for data sharing - an example from environmental monitoring using field GIS. Journal on Computers & Geoscience 1(28), 95–102 (2002)
RĂĽther, M., Bandholtz, T., Schulte-Coerne, T.: Linked Environment Data: SCOVO-fying the Environment Specimen Bank. In: ESWC (2009)
Geographic Information: Observations and Measurements. OGC Abstract Specification, http://www.opengeospatial.org/standards/om
State of progress in the development of guidelines to express elements of the INSPIRE metadata implementing rules using ISO 15836 (Dublin Core). European Commission (2008), http://inspire.jrc.ec.europa.eu/reports/ImplementingRules/metadata/MD_IR_and_DC_state
The Data Cube vocabulary, http://www.w3.org/TR/2013/WD-vocab-data-cube-20130312/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tarasova, T., Argenti, M., Marx, M. (2013). Semantically-Enabled Environmental Data Discovery and Integration: Demonstration Using the Iceland Volcano Use Case. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and the Semantic Web. KESW 2013. Communications in Computer and Information Science, vol 394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41360-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-41360-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41359-9
Online ISBN: 978-3-642-41360-5
eBook Packages: Computer ScienceComputer Science (R0)