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Assessing the quality of geospatial linked data – experiences from Ordnance Survey Ireland (OSi)

Debattista, Jeremy orcid logoORCID: 0000-0002-5592-8936, Clinton, Éamonn and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2018) Assessing the quality of geospatial linked data – experiences from Ordnance Survey Ireland (OSi). In: SEMANTiCS Conference 2018, 11 - 13 of Sept 2018, Vienna, Austria.

Abstract
Ordnance Survey Ireland (OSi) is Ireland’s national mapping agency that is responsible for the digitisation of the island’s infrastructure in terms of mapping. Generating data from various sensors (e.g. spatial sensors), OSi build its knowledge in the Prime2 framework, a subset of which is transformed into geo-Linked Data. In this paper we discuss how the quality of the generated sematic data fares against datasets in the LOD cloud. We set up Luzzu, a scalable Linked Data quality assessment framework, in the OSi pipeline to continuously assess produced data in order to tackle any quality problems prior to publishing.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Data Quality; Geospatial Data; Linked Data
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Copyright Information:© 2018 The Authors
ID Code:22977
Deposited On:15 Feb 2019 13:02 by Thomas Murtagh . Last Modified 12 Mar 2021 12:38
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