Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/6408
DC FieldValueLanguage
dc.contributor.authorKern H.en
dc.contributor.authorStefan F.en
dc.contributor.authorFähnrich K.en
dc.contributor.authorDimitrieski, Vladimiren
dc.date.accessioned2019-09-30T08:54:50Z-
dc.date.available2019-09-30T08:54:50Z-
dc.date.issued2015-01-01en
dc.identifier.isbn9789898533333en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/6408-
dc.description.abstractThe integration of information systems and machines on the shop floor level is a key factor in order to achieve a continuous information flow in production. Driven by the Internet of Things or the high-tech strategy Industry 4.0, the efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this paper, we give an overview of the framework components and demonstrate the approach in a practical use case.en
dc.relation.ispartofProceedings of the 8th IADIS International Conference Information Systems 2015, IS 2015en
dc.titleA mapping-based framework for the integration of machine data and information systemsen
dc.typeConference Paperen
dc.identifier.scopus2-s2.0-84944145438en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84944145438en
dc.relation.lastpage120en
dc.relation.firstpage113en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
Appears in Collections:FTN Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

2
checked on Feb 22, 2020

Page view(s)

16
Last Week
7
Last month
0
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.