Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Facilitation of Domain-Specific Data Models Design using Semantic Web Technologies for Manufacturing
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services
ISBN
978-1-4503-7179-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
649-653
Publisher name
Association for Computing MachineryNew York
Place of publication
New York
Event location
Mnichov
Event date
Dec 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000627565500091