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Semantically-enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the atmospheric chemistry community

Martin, Chris; Haji, Mohammed H.; Dew, Peter; Pilling, Mike and Jimack, Peter (2008). Semantically-enhanced Model-Experiment-Evaluation Processes (SeMEEPs) within the atmospheric chemistry community. In: Provenance and Annotation of Data and Processes, Lecture Notes in Computer Science, Springer, pp. 293–308.

URL: http://link.springer.com/chapter/10.1007/978-3-540...
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-540-89965-5_29
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Abstract

The scientific model development process is often documented in an ad-hoc unstructured manner leading to difficulty in attributing provenance to data products. This can cause issues when the data owner or other interested stakeholder seeks to interpret the data at a later date. In this paper we discuss the design, development and evaluation of a Semantically-enhanced Electronic Lab-Notebook to facilitate the capture of provenance for the model development process, within the atmospheric chemistry community. We then proceed to consider the value of semantically enhanced provenance within the wider community processes. Semantically-enhanced Model-Experiment Evaluation Processes (SeMEEPs), that leverage data generated by experiments and computational models to conduct evaluations.

Item Type: Conference or Workshop Item
Copyright Holders: 2008 Springer-Verlag
ISBN: 3-540-89964-2, 978-3-540-89964-8
ISSN: 0302-9743
Keywords: semantic metadata; provenance; atmospheric chemistry; model development
Academic Unit/School: Faculty of Business and Law (FBL)
Item ID: 40079
Depositing User: Chris Martin
Date Deposited: 30 Apr 2014 12:22
Last Modified: 07 Dec 2018 10:23
URI: http://oro.open.ac.uk/id/eprint/40079
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