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Data.dcs: converting legacy data into linked data

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date2010
Host publicationProceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.
PublisherThe Editors
Number of pages10
<mark>Original language</mark>English
EventLinked Data on the Web 2010, World Wide Web 2010 - , United States
Duration: 20/04/2010 → …

Workshop

WorkshopLinked Data on the Web 2010, World Wide Web 2010
Country/TerritoryUnited States
Period20/04/10 → …

Workshop

WorkshopLinked Data on the Web 2010, World Wide Web 2010
Country/TerritoryUnited States
Period20/04/10 → …

Abstract

Data.dcs is a project intended to produce Linked Data describing the University of Sheffield’s Department of Computer Science. At present the department’s web site contains important legacy data describing people, publications and research groups. This data is distributed and is provided in heterogeneous formats (e.g. HTML documents, RSS feeds), making it hard for machines to make sense of such data and query it. This paper presents an approach to convert such legacy data from its current form into a machine-readable representation which is linked into theWeb of Linked Data. The approach describes the triplification of legacy data, coreference resolution and interlinking with external linked datasets.