Published in

Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10

DOI: 10.1145/1839707.1839755

Links

Tools

Export citation

Search in Google Scholar

Converting governmental datasets into linked data

Proceedings article published in 2010 by Timothy Lebo ORCID, Gregory Todd Williams
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Linked Data provide many benefits to data consumers, but many publicly available datasets are still released in the Comma Separated Values (CSV) format, a ubiquitous common denominator. We introduce a methodology to transform such datasets into Linked Data. Our design is based on requirements identified while surveying existing governmental datasets released by data.gov. We present an implementation-independent RDF vocabulary to describe how a CSV dataset should be promoted into Linked Data, and use a Java-based converter to produce 5.3 billion RDF triples from 312 data.gov datasets.