Publishing legacy data as linked data: a state of the art survey

Abstract

Purpose

This article aims to discuss how the emergence of advanced semantic web technology has transformed the conventional web into machine processable and understandable form.

Design/methodology/approach

In this paper the authors survey the current research works, tools and applications on publishing legacy data as linked data with the aspiration of conferring healthier understanding of the working domain of the linked data world.

Findings

Today, a vast amount of data are stored in various file formats other than RDF, which are called legacy data. In order to publish them as linked data they need to be extracted and converted into RDF or linked data without altering the original data schema or loss of information.

Originality/value

Most of the key issues have to be addressed. A more sophisticated approach to this technology is the linked data, which constructs the transformation of web of documents into the web of connected data possible.

Citation

Marjit, U., Sharma, K., Sarkar, A. and Krishnamurthy, M. (2013), "Publishing legacy data as linked data: a state of the art survey", Library Hi Tech, Vol. 31 No. 3, pp. 520-535. https://doi.org/10.1108/LHT-09-2012-0075