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Modelling provenance in hydrologic science: A case study on streamflow forecasting

Shu, Yanfeng; Taylor, Kerry; Hapuarachchi, Prasantha; Peters, Chris

Description

The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to...[Show more]

dc.contributor.authorShu, Yanfeng
dc.contributor.authorTaylor, Kerry
dc.contributor.authorHapuarachchi, Prasantha
dc.contributor.authorPeters, Chris
dc.date.accessioned2015-12-13T22:19:46Z
dc.identifier.issn1464-7141
dc.identifier.urihttp://hdl.handle.net/1885/71989
dc.description.abstractThe web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to bring recent developments in the management of provenance developed for e-science and the Semantic Web to the problems of hydrology. Our main result is a formal ontological model for the representation of provenance information driven by a hydrologic case study. Along the way, we support usability, extensibility and reusability for provenance representation, relying on the concept of modelling both domain-independent and domain-specific aspects of provenance. We evaluate our model with respect to its ability to satisfy identified requirements arising from the case study on streamflow forecasting for the South Esk River catchment in Tasmania, Australia.
dc.publisherI W A Publishing
dc.sourceJournal of Hydroinformatics
dc.subjectKeywords: Domain semantics; Ontologies; Provenance modelling; Streamflow forecasting
dc.titleModelling provenance in hydrologic science: A case study on streamflow forecasting
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume14
dc.date.issued2012
local.identifier.absfor080399 - Computer Software not elsewhere classified
local.identifier.ariespublicationf5625xPUB2992
local.type.statusPublished Version
local.contributor.affiliationShu, Yanfeng, CSIRO Tasmanian ICT Centre
local.contributor.affiliationTaylor, Kerry, College of Engineering and Computer Science, ANU
local.contributor.affiliationHapuarachchi, Prasantha, CSIRO Land and Water
local.contributor.affiliationPeters, Chris, CSIRO Tasmanian ICT Centre
local.description.embargo2037-12-31
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage944
local.bibliographicCitation.lastpage959
local.identifier.doi10.2166/hydro.2012.134
dc.date.updated2016-02-24T09:04:41Z
local.identifier.scopusID2-s2.0-84872419832
local.identifier.thomsonID000310047400009
CollectionsANU Research Publications

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