Semantic water data translation: A knowledge-driven approach

Yanfeng Shu*, David Ratcliffe, Kerry Taylor, Jemma Wu, Ross Ackland, Andrew Terhorst

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In order for the Bureau of Meteorology (BOM), Australia, to build and maintain an integrated national water information system, over 240 organisations are required to provide their data to BOM. These organisations use a wide range of systems and data formats. To ensure robust and reliable data delivery, BOM has established Water Data Transfer Format (WDTF) as a standard format for data transfer. Mean-while, the Water Regulations 2008 were enacted to specify the water information required from organisations. This paper analyses semantic gaps between data from organisations, WDTF, and the Regulations requirements, and proposes a knowledge-driven approach in which these gaps are captured in a way that facilitates data translation and validation. Throughout the paper, real data examples are used to illustrate the details of the approach and its feasibility.

Original languageEnglish
Title of host publicationProceedings of the 14th International Database Engineering and Applications Symposium, IDEAS '10
Pages52-60
Number of pages9
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event14th International Database Engineering and Applications Symposium, IDEAS '10 - Montreal, QC, Canada
Duration: 16 Aug 201018 Aug 2010

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th International Database Engineering and Applications Symposium, IDEAS '10
Country/TerritoryCanada
CityMontreal, QC
Period16/08/1018/08/10

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