A Knowledge Graph for Industry 4.0

dc.bibliographicCitation.bookTitleThe Semantic Webeng
dc.bibliographicCitation.firstPage465eng
dc.bibliographicCitation.journalTitleLecture Notes in Computer Scienceeng
dc.bibliographicCitation.lastPage480eng
dc.contributor.authorBader, Sebastian R.
dc.contributor.authorGrangel-Gonzalez, Irlan
dc.contributor.authorNanjappa, Priyanka
dc.contributor.authorVidal, Maria-Esther
dc.contributor.authorMaleshkova, Maria
dc.contributor.editorHarth, Andreas
dc.contributor.editorKirrane, Sabrina
dc.contributor.editorNgonga Ngomo, Axel-Cyrille
dc.contributor.editorPaulheim, Heiko
dc.contributor.editorRula, Anisa
dc.contributor.editorGentile, Anna Lisa
dc.contributor.editorHaase, Peter
dc.contributor.editorCochez, Michael
dc.date.accessioned2021-06-04T06:46:49Z
dc.date.available2021-06-04T06:46:49Z
dc.date.issued2020
dc.description.abstractOne of the most crucial tasks for today’s knowledge workers is to get and retain a thorough overview on the latest state of the art. Especially in dynamic and evolving domains, the amount of relevant sources is constantly increasing, updating and overruling previous methods and approaches. For instance, the digital transformation of manufacturing systems, called Industry 4.0, currently faces an overwhelming amount of standardization efforts and reference initiatives, resulting in a sophisticated information environment. We propose a structured dataset in the form of a semantically annotated knowledge graph for Industry 4.0 related standards, norms and reference frameworks. The graph provides a Linked Data-conform collection of annotated, classified reference guidelines supporting newcomers and experts alike in understanding how to implement Industry 4.0 systems. We illustrate the suitability of the graph for various use cases, its already existing applications, present the maintenance process and evaluate its quality.eng
dc.description.versionsubmittedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/6174
dc.identifier.urihttps://doi.org/10.34657/5221
dc.language.isoengeng
dc.publisherCham : Springereng
dc.relation.doihttps://doi.org/10.1007/978-3-030-49461-2_27
dc.relation.essn1611-3349
dc.relation.isbn978-3-030-49460-5
dc.relation.isbn978-3-030-49461-2
dc.relation.issn0302-9743
dc.rights.licenseEs gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.eng
dc.subject.ddc020eng
dc.subject.gndKonferenzschriftger
dc.subject.otherIndustry 4.0eng
dc.subject.otherKnowledge grapheng
dc.subject.otherStandardseng
dc.subject.otherKnowledge representationeng
dc.titleA Knowledge Graph for Industry 4.0eng
dc.typeBookParteng
dc.typeTexteng
dcterms.eventEuropean Semantic Web Conference, 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020
tib.accessRightsopenAccesseng
wgl.contributorTIBeng
wgl.subjectInformatikeng
wgl.typeBuchkapitel / Sammelwerksbeitrageng
wgl.typeKonferenzbeitrageng
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