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Modelling Support for a Linked Data Approach to Tool Interoperability
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-0889-5190
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-8853-4159
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-7842-1599
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-4300-885X
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2016 (English)Conference paper (Refereed)
Abstract [en]

Linked Data is increasingly being adopted for the integration of software tools, especially with the emergence of the Open Services for Lifecycle Collaboration (OSLC) standard on tool interoperability. In this paper, we present a modelling approach – with accompanying tool support – for the specification of Linked Data resources, focusing on the particular needs of tool-chain development. The approach provides graphical models for the specification of constraints on resources being shared in the tool-chain. Moreover, it aims to maintain a centralized understanding and management of the overall information model being handled in the federated tool-chain architecture. This is achieved through an integrated set of modelling views that cover the early phases of tool-chain development.

Place, publisher, year, edition, pages
2016. 42-47 p.
Keyword [en]
Linked data modelling, OSLC, resource shapes, tool integration, information modelling
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-184090ISBN: 978-1-61208-457-2OAI: oai:DiVA.org:kth-184090DiVA: diva2:913969
Conference
ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016)
Note

QC 20160405

Available from: 2016-03-23 Created: 2016-03-23 Last updated: 2016-06-13Bibliographically approved

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http://www.iaria.org/conferences2016/ALLDATA16.html

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El-Khoury, JadGürdür, DidemLoiret, FrédéricTörngren, MartinNyberg, Mattias
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