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Publication type: Conference paper
Type of review: Peer review (publication)
Title: VoIDext : vocabulary and patterns for enhancing interoperable datasets with virtual links
Authors: Mendes de Farias, Tarcisio
Stockinger, Kurt
Dessimoz, Christophe
et. al: No
DOI: 10.21256/zhaw-18636
Proceedings: OTM 2019 Conference Proceedings
Page(s): 607
Pages to: 625
Conference details: On the Move to Meaningful Internet Systems: OTM 2019 Conferences, Rhodes, Greece, 21 - 25 October 2019
Issue Date: 2019
Series: Lecture Notes in Computer Science
Series volume: 11877
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Cham
ISBN: 978-3-030-33245-7
ISSN: 0302-9743
Language: English
Subjects: Data interoperability; Virtual link; Vocabulary of Interlinked Datasets (VoID); Federated query
Subject (DDC): 004: Computer science
Abstract: Semantic heterogeneity remains a problem when interoperating with data from sources of different scopes and knowledge domains. Causes for this challenge are context-specific requirements (i.e. no “one model fits all”), different data modelling decisions, domain-specific purposes, and technical constraints. Moreover, even if the problem of semantic heterogeneity among different RDF publishers and knowledge domains is solved, querying and accessing the data of distributed RDF datasets on the Web is not straightforward. This is because of the complex and fastidious process needed to understand how these datasets can be related or linked, and consequently, queried. To address this issue, we propose to extend the existing Vocabulary of Interlinked Datasets (VoID) by introducing new terms such as the Virtual Link Set concept and data model patterns. A virtual link is a connection between resources such as literals and IRIs (Internationalized Resource Identifier) with some commonality where each of these resources is from a different RDF dataset. The links are required in order to understand how to semantically relate datasets. In addition, we describe several benefits of using virtual links to improve interoperability between heterogenous and independent datasets. Finally, we exemplify and apply our approach to multiple world-wide used RDF datasets.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: Bio-SODA: Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data
Appears in collections:Publikationen School of Engineering

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