Toward sustainable publishing and querying of distributed Linked Data archives
Author:
Vander Sande Miel,Verborgh Ruben,Hochstenbach Patrick,Van de Sompel Herbert
Abstract
Purpose
The purpose of this paper is to detail a low-cost, low-maintenance publishing strategy aimed at unlocking the value of Linked Data collections held by libraries, archives and museums (LAMs).
Design/methodology/approach
The shortcomings of commonly used Linked Data publishing approaches are identified, and the current lack of substantial collections of Linked Data exposed by LAMs is considered. To improve on the discussed status quo, a novel approach for publishing Linked Data is proposed and demonstrated by means of an archive of DBpedia versions, which is queried in combination with other Linked Data sources.
Findings
The authors show that the approach makes publishing Linked Data archives easy and affordable, and supports distributed querying without causing untenable load on the Linked Data sources.
Research limitations/implications
The proposed approach significantly lowers the barrier for publishing, maintaining, and making Linked Data collections queryable. As such, it offers the potential to substantially grow the distributed network of queryable Linked Data sources. Because the approach supports querying without causing unacceptable load on the sources, the queryable interfaces are expected to be more reliable, allowing them to become integral building blocks of robust applications that leverage distributed Linked Data sources.
Originality/value
The novel publishing strategy significantly lowers the technical and financial barriers that LAMs face when attempting to publish Linked Data collections. The proposed approach yields Linked Data sources that can reliably be queried, paving the way for applications that leverage distributed Linked Data sources through federated querying.
Subject
Library and Information Sciences,Information Systems
Reference63 articles.
1. Acosta, M. and Vidal, M.-E. (2015), “Networks of Linked Data eddies: an adaptive web query processing engine for RDF data”, in Arenas, M., Corcho, O., Simperl, E., Strohmaier, M., d’Aquin, M., Srinivas, K., Groth, P., Dumontier, M., Heflin, J., Thirunarayan, K. and Staab, S. (Eds), International Semantic Web Conference, Springer International Publishing, Cham, pp. 111-127. 2. Beek, W., Rietveld, L., Bazoobandi, H.R., Wielemaker, J. and Schlobach, S. (2014), “Lod laundromat: a uniform way of publishing other people’s dirty data”, in Mika, P., Tudorache, T., Bernstein, A., Welty, C., Knoblock, C., Vrandečić, D., Groth, P., Noy, N., Janowicz, K. and Goble, C. (Eds), International Semantic Web Conference, Springer, Cham, pp. 213-228. 3. ISBD resource and its description in the context of the semantic web;Cataloging & Classification Quarterly,2014 4. Template based semantic integration;International Journal on Semantic Web and Information Systems,2015 5. Bizer, C., Heath, T. and Berners-Lee, T. (2009), “Linked data-the story so far”, in Seth, A.P. (Ed.), Semantic Services, Interoperability and Web Applications: Emerging Concepts, ISBN 978-1-60960-593-3, IGI Global, Hershey PA, pp. 205-227.
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|