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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Industrial Applications of Holonic and Multi-Agent Systems

ISBN

978-3-319-64634-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

13

Strana od-do

53-65

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Lyon

Datum konání akce

28. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000452464200005