Abstract
Interlinking research objects using the RDF links facilitates sharing and data discovery on the Web of Data. This works toward enriching the research repositories by linking their research artifacts to various scientific or even general data on the Web. In this paper, we experiment on an interlinking approach over Dryad, a research object repository, to a digital library dataset in the Linked Open Data cloud. We fetch data from both targets in different steps, run an interlinking tool and report as well as analyze the results. The generated outputs and assessed matched links show that interlinking a research dataset like Dryad to Web of Data brings an added value to the repository, as it connects its research artefacts to scientific objects of other datasets.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Guéret, C.: Digital Archives As Versatile Platforms for Sharing and Interlinking Research Artefacts. In: Proceedings of the 1st International Workshop on Digital Preservation of Research Methods and Artefacts, pp. 1–7. ACM, New York (2013), http://doi.acm.org/10.1145/2499583.2499588
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)
Dryad, a general-purposed research data repository, http://datadryad.org/ (accessed July 4, 2014)
DataCite, research data repository, https://www.datacite.org/ (accessed July 4, 2014)
Greenberg, J.: Theoretical Considerations of Lifecycle Modeling: An Analysis of the Dryad Repository Demonstrating Automatic Metadata Propagation, Inheritance, and Value System Adoption. Cataloging & Classification Quarterly 47(3-4), 380–402 (2009)
Limor, P.: The Role of Data Repositories in Reproducible Research (2013), http://isps.yale.edu/news/blog/2013/07/the-role-of-data-repositories-in-reproducible-research#.U7aAp_mSzQI
Rousidis, D.G.: Data Quality Issues and Content Analysis for Research Data Repositories: The Case of Dryad. In: Let’s Put Data to Use: Digital Scholarship for the Next Generation, 18th International Conference on Electronic Publishing, Thessaloniki, Greece, June 19-20 (2014), http://elpub.scix.net/cgi-bin/works/Show?106_elpub2014
Rajabi, E., Sicilia, M.-A., Sanchez-Alonso, S.: Interlinking Educational Data: an Experiment with GLOBE Resources, Salamanca, Spain (2013)
Dietze, S., Yu, H.Q., Giordano, D., Kaldoudi, E., Dovrolis, N., Taibi, D.: Linked education: interlinking educational resources and the Web of data. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing (Internet), pp. 366–371. ACM, New York (2012), http://doi.acm.org/10.1145/2245276.2245347
Scharffe, F., Euzenat, J.: MeLinDa: an interlinking framework for the web of data. Report No.: 1107.4502 (July 2011), http://arxiv.org/abs/1107.4502
The Datalift project, a catalyser for the Web of data. The Datalift project, a catalyser for the Web of data, http://datalift.org (accessed July 4, 2014)
Ferrara, A., Nikolov, A., Noessner, J., Scharffe, F.: Evaluation of instance matching tools: The experience of OAEI. Web Semantics: Science, Services and Agents on the World Wide Web 21, 49–60 (2013)
Rajabi, E., Sicilia, M.-A., Sanchez-Alonso, S.: An empirical study on the evaluation of interlinking tools on the Web of Data. Journal of Information Science (June 11, 2014), http://jis.sagepub.com/content/early/2014/06/10/0165551514538151.abstract
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Rajabi, E., Sicilia, MA., Sanchez-Alonso, S. (2014). Research Objects Interlinking: The Case of Dryad Repository. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-319-13674-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-13674-5_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13673-8
Online ISBN: 978-3-319-13674-5
eBook Packages: Computer ScienceComputer Science (R0)