Ontology learning for facilitating ontology matching in automotive

dc.contributor.authorŠebek, Ondrej
dc.contributor.authorJirkovský, Václav
dc.contributor.authorRychtyckyj, Nestor
dc.contributor.authorKadera, Petr
dc.contributor.editorSteinberger, Josef
dc.contributor.editorZíma, Martin
dc.contributor.editorFiala, Dalibor
dc.contributor.editorDostal, Martin
dc.contributor.editorNykl, Michal
dc.date.accessioned2017-10-09T08:32:37Z
dc.date.available2017-10-09T08:32:37Z
dc.date.issued2017
dc.description.abstract-translatedAll manufacturing companies need to monitor a large number of de-vices and from which critical data must be captured and analyzed. The increas-ing complexity of these ecosystems emphasizes the requirement for a flexible and versatile data model architecture. Ontologies may facilitate a proper under-standing of the problem domain as well as the interoperability with surrounding systems using ontology matching approach. However, data models of surround-ing systems are not always ontologies. Thus, concepts and relations among them have to be extracted from the models to enable their integration with the ontology. The definition of concepts, their hierarchy, relations between con-cepts, and properties from a general architecture is a complex task and has to be tailored to an application’s needs. In this paper, we propose an involvement of the ontology learning approach to the process of ontology matching in the au-tomotive.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationSTEINBERGER, Josef ed.; ZÍMA, Martin ed.; FIALA, Dalibor ed.; DOSTAL, Martin ed.; NYKL, Michal ed. Data a znalosti 2017: sborník konference, Plzeň, Hotel Angelo 5. - 6. října 2017. 1. vyd. Plzeň: Západočeská univerzita v Plzni, 2017, s. 31-34. ISBN 978-80-261-0720-0.cs
dc.identifier.isbn978-80-261-0720-0
dc.identifier.urihttp://hdl.handle.net/11025/26331
dc.language.isocscs
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectontologiecs
dc.subjectheterogenitacs
dc.subjectmatchingcs
dc.subject.translatedontologyen
dc.subject.translatedheterogeneityen
dc.subject.translatedmatchingen
dc.titleOntology learning for facilitating ontology matching in automotiveen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Sebek.pdf
Size:
414.57 KB
Format:
Adobe Portable Document Format
Description:
Plný text
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: