Ontology-Based Multi-Domain metadata for research data management using triple stores

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

João Silva (Author) FEUP; Cristina Ribeiro (Author) FEUP; João Correia Lopes (Author) FEUP

Conference proceedings International

Title: ACM International Conference Proceeding Series

Pages: 105-114

18th International Database Engineering and Applications Symposium, IDEAS 2014

Porto, 7 July 2014 through 9 July 2014

Indexing

Scopus - 4 Citations

Scientific classification

CORDIS: Physical sciences > Computer science > Informatics

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-009-S4V

DOI: 10.1145/2628194.2628234

Abstract (EN): Most current research data management solutions rely on a fixed set of descriptors (e.g. Dublin Core Terms) for the description of the resources that they manage. These are easy to understand and use, but their semantics are limited to general concepts, leaving out domain-specific metadata. The textual values for descriptors are easily indexed through free-text indexes, but faceted search and dataset interlinking becomes limited. From the point of view of the relational database schema modeler, designing a more flexible metadata model represents a non-trivial challenge because it means representing entities with attributes unknown at the time of modeling and that can change in time. Those traits, combined with the presence of hierarchies among the entities, can make the relational schema quite complex. This work demonstrates the approaches followed by current opensource platforms and proposes a graph-based model for achieving modular, ontology-based metadata for interlinked data assets in the Semantic Web. The proposed model was implemented in a collaborative research data management platform currently under development at the University of Porto. © 2014 ACM.

Language: English

Type (Professor's evaluation): Scientific