Tim Davies GitHub avatar picture
Tim Davies GitHub avatar picture
abstractNote Governments often hold very rich data and whilst much of this information is published and available for re-use by others, it is often trapped by poor data structures, locked up in legacy data formats or in fragmented databases. One of the great benefits that Semantic Web (SW) technology offers is facilitating the large scale integration and sharing of distributed data sources. At the heart of information policy in the UK, the Office of Public Sector Information (OPSI) is the part of the UK government charged with enabling the greater re-use of public sector information. This paper describes the actions, findings, and lessons learnt from a pilot study, involving several parts of government and the public sector. The aim was to show to government how they can adopt SW technology for the dissemination, sharing and use of its data.
author Alani, Harith; Dupplaw, David; Sheridan, John; O’Hara, Kieron; Darlington, John; Shadbolt, Nigel; Tullo, Carol
automaticTags Local Ontology; Ordnance Survey; Reference Ontology; SPARQL Query; Triple Store
date 2007
dateAdded 2021-12-08 11:37:38
dateModified 2021-12-08 11:37:38
doi 10.1007/978-3-540-76298-0_51
editor Aberer, Karl; Choi, Key-Sun; Noy, Natasha; Allemang, Dean; Lee, Kyung-Il; Nixon, Lyndon; Golbeck, Jennifer; Mika, Peter; Maynard, Diana; Mizoguchi, Riichiro; Schreiber, Guus; Cudré-Mauroux, Philippe
fileAttachments /Users/timdavies/Zotero/storage/CUWZMS2V/Alani et al_2007_Unlocking the Potential of Public Sector Information with Semantic Web.pdf
isbn 978-3-540-76298-0
itemType conferencePaper
key C3P7IVC9
language en
libraryCatalog Springer Link
pages 708-721
place Berlin, Heidelberg
publicationTitle The Semantic Web
publicationYear 2007
publisher Springer
series Lecture Notes in Computer Science
title Unlocking the Potential of Public Sector Information with Semantic Web Technology

References to this entity

Reference From Property
dataset/dataPortalsBibliography exampleResource

Download the data in the table above page as RDF: NQuads