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Title: Semantic and Knowledge Engineering Using ENVRI RM
Authors: Martin, PaulLiao, XiaofengMagagna, BarbaraStocker, MarkusZhao, Zhiming
Editors: Zhao, ZhimingHellström, Margareta
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Issue Date: 2020
Published in: Towards Interoperable Research Infrastructures for Environmental and Earth Sciences (LNCS ; 12003)
Publisher: Cham : Springer
Abstract: The ENVRI Reference Model provides architects and engineers with the means to describe the architecture and operational behaviour of environmental and Earth science research infrastructures (RIs) in a standardised way using the standard terminology. This terminology and the relationships between specific classes of concept can be used as the basis for the machine-actionable specification of RIs or RI subsystems. Open Information Linking for Environmental RIs (OIL-E) is a framework for capturing architectural and design knowledge about environmental and Earth science RIs intended to help harmonise vocabulary, promote collaboration and identify common standards and technologies across different research infrastructure initiatives. At its heart is an ontology derived from the ENVRI Reference Model. Using this ontology, RI descriptions can be published as linked data, allowing discovery, querying and comparison using established Semantic Web technologies. It can also be used as an upper ontology by which to connect descriptions of RI entities (whether they be datasets, equipment, processes, etc.) that use other, more specific terminologies. The ENVRI Knowledge Base uses OIL-E to capture information about environmental and Earth science RIs in the ENVRI community for query and comparison. The Knowledge Base can be used to identify the technologies and standards used for particular activities and services and as a basis for evaluating research infrastructure subsystems and behaviours against certain criteria, such as compliance with the FAIR data principles.
Keywords: Ontology; Knowledge base; Research infrastructure; Reference model
DDC: 020
License: CC BY 4.0 Unported
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