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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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