Connecting closed world research information systems through the linked open data web

Article


Joerg, B., Ruiz-Rube, I., Sicilia, M., Dvořák, J., Jeffery, K., Höllrigl, T., Rasmussen, H., Engfer, A., Vestdam, T. and Barriocanal, E. 2012. Connecting closed world research information systems through the linked open data web. International Journal of Software Engineering and Knowledge Engineering. 22 (03), pp. 345-364. https://doi.org/10.1142/S0218194012400074
TypeArticle
TitleConnecting closed world research information systems through the linked open data web
AuthorsJoerg, B., Ruiz-Rube, I., Sicilia, M., Dvořák, J., Jeffery, K., Höllrigl, T., Rasmussen, H., Engfer, A., Vestdam, T. and Barriocanal, E.
Abstract

Research Information Systems (RIS) play a critical role in the sharing of scientific information and provide researchers, professionals and decision makers with the required data for their activities. Existing RIS standards have proposed data models to represent the main entities for storage and exchange. These account for the needs of multiple stakeholders through a high flexibility based on a formal syntax and declared semantics, but for techno-historical reasons they assume the completeness of information within system boundaries. The distributed nature of research information across systems calls for a mechanism to link the local entities from the closed world of concrete RISs with other possibly underspecified entities exposed through other means, as for example, the Linked Open Data Web. By transformation of a relational model into an open graph model, differences between the two system paradigms are revealed. The main principles and techniques for exposing CERIF-driven relational data as linked data will be provided as a first step demonstrating effective RISs interconnection through the linked open data (LOD) Web.

KeywordsCurrent Research Information Systems, CRIS, Common European Research Information Format, CERIF, Linked Open Data, LOD, LD, Ontologies, Conceptual Modeling
PublisherWorld Scientific Publishing Company
JournalInternational Journal of Software Engineering and Knowledge Engineering
ISSN0218-1940
Electronic1793-6403
Publication dates
Print31 Dec 2012
Publication process dates
Deposited27 Sep 2020
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1142/S0218194012400074
Web of Science identifierWOS:000305905400003
LanguageEnglish
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