Paper Info
Title
Ontology-based multi-domain metadata for research data management using triple stores
Abstract
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 open-source 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.
Year
DOI
Venue
2014
10.1145/2628194.2628234
IDEAS
Keywords
Field
DocType
database applications,knowledge representation formalisms and methods,design,experimentation,systems,research data management,measurement,metadata,triple stores,database models,performance
Metadata repository,Metadata,Data mining,World Wide Web,Computer science,Data element,Data mapping,Synonym ring,Metadata modeling,Database,Change data capture,Database catalog
Conference
Citations 
PageRank 
References 
4
0.44
7
Authors
3
Name
Order
Citations
PageRank
João Rocha da Silva14010.23
Cristina Ribeiro26210.31
João Correia Lopes312817.89