Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology

Katarina Milenković; Simon Mayer; Konrad Diwold; Josef Zehetner

Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology

Katarina Milenković, Simon Mayer, Konrad Diwold, Josef Zehetner

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2019 International Conference on Theory and Applications in the Knowledge Economy
ISBN (Electronic)	978‐999‐54182‐0‐6
Publication status	Published - 3 Jul 2019
Event	2019 International Conference on Theory and Applications in the Knowledge Economy - Austria, Vienna, Austria Duration: 3 Jul 2019 → 5 Jan 2020 https://www.take-conference2019.com/

Conference

Conference	2019 International Conference on Theory and Applications in the Knowledge Economy
Abbreviated title	TAKE 2019
Country/Territory	Austria
City	Vienna
Period	3/07/19 → 5/01/20
Internet address	https://www.take-conference2019.com/

Keywords

knowledge management
metadata
SPARQL
semantic web

Access to Document

https://www.alexandria.unisg.ch/257265/1/TAKE_2019_full_paper.pdf

Cite this

Milenković, K, Mayer, S, Diwold, K & Zehetner, J 2019, Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology. in Proceedings of the 2019 International Conference on Theory and Applications in the Knowledge Economy. 2019 International Conference on Theory and Applications in the Knowledge Economy, Vienna, Austria, 3/07/19. <https://www.alexandria.unisg.ch/257265/1/TAKE_2019_full_paper.pdf>

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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.",

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AU - Milenković, Katarina

AU - Mayer, Simon

AU - Diwold, Konrad

AU - Zehetner, Josef

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Y1 - 2019/7/3

N2 - 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.

AB - 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.

KW - knowledge management

KW - metadata

KW - SPARQL

KW - semantic web

M3 - Conference paper

BT - Proceedings of the 2019 International Conference on Theory and Applications in the Knowledge Economy

T2 - 2019 International Conference on Theory and Applications in the Knowledge Economy

Y2 - 3 July 2019 through 5 January 2020

ER -

Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology

Abstract

Conference

Keywords

Access to Document

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Cite this