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

Data.dcs: converting legacy data into linked data

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

Published

Standard

Data.dcs: converting legacy data into linked data. / Rowe, Matthew.
Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.. The Editors, 2010.

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

Harvard

Rowe, M 2010, Data.dcs: converting legacy data into linked data. in Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.. The Editors, Linked Data on the Web 2010, World Wide Web 2010, United States, 20/04/10. <http://ceur-ws.org/Vol-628/ldow2010_paper01.pdf>

APA

Rowe, M. (2010). Data.dcs: converting legacy data into linked data. In Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010. The Editors. http://ceur-ws.org/Vol-628/ldow2010_paper01.pdf

Vancouver

Rowe M. Data.dcs: converting legacy data into linked data. In Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.. The Editors. 2010

Author

Rowe, Matthew. / Data.dcs : converting legacy data into linked data. Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.. The Editors, 2010.

Bibtex

@inproceedings{8ba50f73d4c5417c83a3ce3ec9105de8,
title = "Data.dcs: converting legacy data into linked data",
abstract = "Data.dcs is a project intended to produce Linked Data describing the University of Sheffield{\textquoteright}s Department of Computer Science. At present the department{\textquoteright}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.",
author = "Matthew Rowe",
year = "2010",
language = "English",
booktitle = "Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.",
publisher = "The Editors",
note = "Linked Data on the Web 2010, World Wide Web 2010 ; Conference date: 20-04-2010",

}

RIS

TY - GEN

T1 - Data.dcs

T2 - Linked Data on the Web 2010, World Wide Web 2010

AU - Rowe, Matthew

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Conference contribution/Paper

BT - Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010.

PB - The Editors

Y2 - 20 April 2010

ER -