Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology

Katarina Milenković, Simon Mayer, Konrad Diwold, Josef Zehetner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Complex industrial processes produce a multitude of information during the product/service lifecycle. Those data are often stored, but rarely used in the context of overall process optimization, due to their unstructured format and the inability to integrate them with stored formal knowledge about the domain. This paper proposes a way to mitigate this problem, by extending the standard SPARQL query language to enable the integration of formal knowledge and unstructured data, as well as their joint processing. The paper constitutes an initial definition of the proposed SPARQL extension and demonstrates its applicability in the context of selected examples.
Originalspracheenglisch
TitelProceedings of the 2019 International Conference on Theory and Applications in the Knowledge Economy
ISBN (elektronisch)978‐999‐54182‐0‐6
PublikationsstatusVeröffentlicht - 3 Jul 2019
Veranstaltung2019 International Conference on Theory and Applications in the Knowledge Economy - Austria, Vienna, Österreich
Dauer: 3 Jul 20195 Jan 2020
https://www.take-conference2019.com/

Konferenz

Konferenz2019 International Conference on Theory and Applications in the Knowledge Economy
KurztitelTAKE 2019
LandÖsterreich
OrtVienna
Zeitraum3/07/195/01/20
Internetadresse

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