Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F19%3A00340257" target="_blank" >RIV/68407700:21730/19:00340257 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3366030.3366111" target="_blank" >https://doi.org/10.1145/3366030.3366111</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3366030.3366111" target="_blank" >10.1145/3366030.3366111</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing

Popis výsledku v původním jazyce

Modern manufacturing faces a challenge of integrating data models from various sources/domains which may differ both semantically and technically when particular domain specific data models are designed by different users and stored in different formats. This paper introduces an approach for facilitating the design of domain-specific data models using semantic web technologies. In this approach, all the information required for managing the production (including a description of a product, processes involved in the production, and existing resources and their specifications) is captured in an ontology. The proposed Product, Process, and Resource (PPR) ontology defines fundamental conceptualization of the production that can be easily applied to the arbitrary domain. Application of the PPR ontology is demonstrated in the case of simple truck assembling by means of robots. Capturing the knowledge in the form of ontology provides the advantage of employing supporting tools such as reasoners for consistency checking or query languages for information extraction. The paper demonstrates the utilization of SQWRL for searching resources suitable to manipulate given truck parts on the basis of semantic matching between properties of particular elements.

Název v anglickém jazyce

Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing

Popis výsledku anglicky

Modern manufacturing faces a challenge of integrating data models from various sources/domains which may differ both semantically and technically when particular domain specific data models are designed by different users and stored in different formats. This paper introduces an approach for facilitating the design of domain-specific data models using semantic web technologies. In this approach, all the information required for managing the production (including a description of a product, processes involved in the production, and existing resources and their specifications) is captured in an ontology. The proposed Product, Process, and Resource (PPR) ontology defines fundamental conceptualization of the production that can be easily applied to the arbitrary domain. Application of the PPR ontology is demonstrated in the case of simple truck assembling by means of robots. Capturing the knowledge in the form of ontology provides the advantage of employing supporting tools such as reasoners for consistency checking or query languages for information extraction. The paper demonstrates the utilization of SQWRL for searching resources suitable to manipulate given truck parts on the basis of semantic matching between properties of particular elements.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Klastr 4.0 - Metodologie systémové integrace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

ISBN

978-1-4503-7179-7

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

649-653

Název nakladatele

Association for Computing MachineryNew York

Místo vydání

New York

Místo konání akce

Mnichov

Datum konání akce

2. 12. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000627565500091