Publication:
A Knowledge Graph for Industry 4.0

cris.customurl16540
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentData Engineering
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowseData Engineering
cris.virtual.departmentbrowseData Engineering
cris.virtual.departmentbrowseData Engineering
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department3a2553bc-4d23-4bae-a22f-5d92c868792c
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.authorBader, Sebastian R.
dc.contributor.authorGrangel-Gonzalez, Irlan
dc.contributor.authorNanjappa, Priyanka
dc.contributor.authorVidal, Maria-Esther
dc.contributor.authorMaleshkova, Maria
dc.date.issued2020-05-27
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. © Springer Nature Switzerland AG 2020.
dc.description.versionVoR
dc.identifier.doi10.1007/978-3-030-49461-2_27
dc.identifier.isbn9783030494612
dc.identifier.issn1611-3349
dc.identifier.urihttps://openhsu.ub.hsu-hh.de/handle/10.24405/16540
dc.language.isoen
dc.publisherSpringer Nature Switzerland
dc.relation.conference7th International Conference, ESWC 2020 : Heraklion, Crete, Greece, May 31–June 4, 2020
dc.relation.journalLecture Notes in Computer Science
dc.relation.orgunitUniversity of Bonn
dc.rights.accessRightsmetadata only access
dc.subjectIndustry 4.0
dc.subjectKnowledge graph
dc.subjectKnowledge representation
dc.subjectStandards
dc.titleA Knowledge Graph for Industry 4.0
dc.typeKonferenzbeitrag
dcterms.bibliographicCitation.booktitleThe Semantic Web : 17th International Conference, ESWC 2020 : Heraklion, Crete, Greece, May 31–June 4, 2020 Proceedings
dcterms.bibliographicCitation.originalpublisherplaceCham
dspace.entity.typePublication
hsu.uniBibliographyNein
oaire.citation.endPage480
oaire.citation.startPage465
oaire.citation.volume12123
Files