12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Data.dcs
View graph of relations

« Back

Data.dcs: converting legacy data into linked data

Research output: Contribution in Book/Report/ProceedingsPaper

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
Original languageEnglish

Workshop

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

Workshop

WorkshopLinked Data on the Web 2010, World Wide Web 2010
CountryUnited 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.