Ontologies for Research Data Description: A Design Process Applied to Vehicle Simulation

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Castro, JA (Author) Other; Perrotta, D (Author) Other; Amorim, RC (Author) FEUP; da Silva, JR (Author) Other; Cristina Ribeiro (Author) FEUP

Conference proceedings International

Title: METADATA AND SEMANTICS RESEARCH, MTSR 2015

Pages: 348-354

9th Conference on Metadata and Semantics Research (MTSR)

Manchester, ENGLAND, SEP 09-11, 2015

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00G-SZV

DOI: 10.1007/978-3-319-24129-6_30

Abstract (EN): Data description is an essential part of research data management, and it is easy to argue for the importance of describing data early in the research workflow. Specific metadata schemas are often proposed to support description. Given the diversity of research domains, such schemas are often missing, and when available they may be too generic, too complex or hard to incorporate in a description platform. In this paper we present a method used to design metadata models for research data description as ontologies. Ontologies are gaining acceptance as knowledge representation structures, and we use them here in the scope of the Dendro platform. The ontology design process is illustrated with a case study from Vehicle Simulation. According to the design process, the resulting model was validated by a domain specialist.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7