Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Open information linking for environmental research infrastructures

Martin, Paul, Grosso, Paola, Magagna, Barbara, Schentz, Herbert, Chen, Yin, Hardisty, Alex, Los, Wouter, Jeffery, Keith, de Laat, Cees and Zhao, Zhiming 2015. Open information linking for environmental research infrastructures. Presented at: IEEE 11th International Conference on eScience, Munich, Germany, 31 August 2015 - 4 September 2015. e-Science (e-Science), 2015 IEEE 11th International Conference on. IEEE, pp. 513-520. 10.1109/eScience.2015.66

Full text not available from this repository.

Abstract

Environmental research infrastructures (RIs) support data-intensive research by integrating large-scale sensor/observer networks with dedicated data curation services and analytical tools. However the diversity of scientific disciplines coupled with the lack of an accepted methodology for constructing new RIs inevitably leads to incompatibilities between the data models, metadata standards and service descriptions used by different RIs, inhibiting their usefulness for interdisciplinary research. In the absence of a common global ontology of science and infrastructure, these inconsistencies may best be counteracted by selectively bridging the semantics of the various vocabularies, standards and models used by the RIs at present. Open Information Linking for Environmental RIs (OIL-E) was developed within the FP7 project ENVRI to provide a framework for semantic linking of knowledge resources used by different environmental RIs. Built around a multi-viewpoint reference model ENVRI-RM, OIL-E is intended to act as a central exchange for linking information fragments and identifying gaps in the conceptual models of RIs.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: research infrastructures; system-level science; reference model; e-research; e-science; semantic linking
Publisher: IEEE
Last Modified: 04 Jun 2017 08:36
URI: http://orca-mwe.cf.ac.uk/id/eprint/80924

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item