Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00321157" target="_blank" >RIV/68407700:21730/17:00321157 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-64635-0_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-64635-0_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-64635-0_5" target="_blank" >10.1007/978-3-319-64635-0_5</a>

Result language
angličtina
Original language name
Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive
Original language description
All manufacturing companies need to be able to closely monitor the processes, labor, tooling, parts and throughput on the assembly plant floor. This might be a challenging task because of a large number of plant floor applications that operate using different hardware and software tools. In many cases, there are a large number of devices that need to be monitored and from which critical data must be extracted and analyzed. This situation calls for the use of an architecture that can support data from heterogeneous sources and support the analysis of data and communication with these devices. Ontologies can be developed to facilitate a proper understanding of the problem domain, and subsequently, knowledge from external sources can be shared through linked open data or directly integrated (mapped) using an ontology matching approach. In this paper, we demonstrate how ontological data description may facilitate interoperability between a company data model and new data sources as well as an update of stored data via ontology matching. The MAPSOM system (system for semi-automatic ontology matching) is introduced and described in this paper, and subsequently, an example of new data model integration is demonstrated using the MAPSOM system.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Industrial Applications of Holonic and Multi-Agent Systems
ISBN
978-3-319-64634-3
ISSN
0302-9743
e-ISSN
—
Number of pages
13
Pages from-to
53-65
Publisher name
Springer
Place of publication
Cham
Event location
Lyon
Event date
Sep 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000452464200005

Similar results(10)