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An industrial evaluation of data access techniques for the interoperability of engineering software tools
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: 0000-0001-8429-0479
Scania CV AB Sodertalje, Sodertalje, Sweden..
2019 (English)In: JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, ISSN 2467-964X, Vol. 15, p. 58-68Article in journal (Refereed) Published
Abstract [en]

New industrial initiatives such as Industrie 4.0 rely on digital end-to-end engineering across the entire product lifecycle, which in turn depends on the ability of the supporting software tools to interoperate. A tool interoperability approach based on Linked Data, and the OASIS OSLC standard, has the potential to provide such integration, where each software tool can expose its information and services to other tools using the web as a common technology base. In this paper, we report on our negative findings when attempting to use existing ontology-based Linked Data access techniques to expose and manipulate the structured content managed in engineering tools. Such techniques typically target the Data Access Layer (DAL) of a tool to access and manipulate its content, with the assumption that sufficient information and control is available within this layer to automate the process. Based on a case study with the truck manufacturer Scania CV AB, our study finds that an engineering tool controls its artefacts using business logic that is not necessarily reflected at the data layer. This renders such ontology-based access techniques inadequate. Instead we propose an alternative Linked Data extraction architecture that can mitigate the identified shortcomings. While less automated compared to the existing solutions, the proposed architecture is realised as a standalone library that can still facilitate the extraction process.

Place, publisher, year, edition, pages
ELSEVIER , 2019. Vol. 15, p. 58-68
Keywords [en]
Linked data, OSLC, Tool integration, Tool interoperability, SQL To RDF, Information management
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-261965DOI: 10.1016/j.jii.2019.04.004ISI: 000487306100007Scopus ID: 2-s2.0-85065031950OAI: oai:DiVA.org:kth-261965DiVA, id: diva2:1361003
Note

QC 20191015

Available from: 2019-10-15 Created: 2019-10-15 Last updated: 2019-10-15Bibliographically approved

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El-khoury, JadBerezovskyi, Andrii

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