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.
|Titel||Proceedings of the 2019 International Conference on Theory and Applications in the Knowledge Economy|
|Publikationsstatus||Veröffentlicht - 3 Jul 2019|
|Veranstaltung||2019 International Conference on Theory and Applications in the Knowledge Economy - Austria, Vienna, Österreich|
Dauer: 3 Jul 2019 → 5 Jan 2020
|Konferenz||2019 International Conference on Theory and Applications in the Knowledge Economy|
|Zeitraum||3/07/19 → 5/01/20|