Evaluation of semantic web ontologies for modelling art collections

Liu, Danfeng; Bikakis, Antonis; Vlachidis, Andreas

Abstract

© 2017, Springer International Publishing AG. The need for organising, sharing and digitally processing Cultural Heritage (CH) information has led to the development of formal knowledge representation models (ontologies) for the CH domain. Based on RDF and OWL, the standard data model and ontology language of the Semantic Web, ontologies such as CIDOC-CRM, the Europeana Data Model and VRA, offer enhanced representation capabilities, but also support for inference, querying and interlinking through the Web. This paper presents the results of a small-scale evaluation of the three most commonly used CH ontologies, with respect to their capacity to fulfil the data modelling requirements of art collections.

Citation

Liu, D., Bikakis, A., & Vlachidis, A. (2017). Evaluation of semantic web ontologies for modelling art collections. Communications in Computer and Information Science, 767, 343-352. https://doi.org/10.1007/978-3-319-67162-8_34

• Journal Article Type: Conference Paper
• Acceptance Date: Sep 9, 2017
• Publication Date: Jan 1, 2017
• Deposit Date: Feb 6, 2018
• Publicly Available Date: Feb 6, 2018
• Journal: Communications in Computer and Information Science
• Print ISSN: 1865-0929
• Publisher: Springer Verlag (Germany)
• Peer Reviewed: Peer Reviewed
• Volume: 767
• Pages: 343-352
• Book Title: New Trends in Databases and Information Systems
• DOI: https://doi.org/10.1007/978-3-319-67162-8_34
• Keywords: evaluation, semantic, web, ontologies, modelling, art, collections
• Public URL: https://uwe-repository.worktribe.com/output/902598
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-67162-8_34
• Additional Information: Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-67162-8_34