https://github.com/hsu-aut/industrialstandard-odp-vdi2860
An Ontology Design Pattern (ODP) of VDI guideline 2860 which contains a taxonomy / model of various handling operations and their atomic actions.
https://github.com/hsu-aut/industrialstandard-odp-vdi2860
handling-operations manufacturing odp ontology owl semantic semantic-web
Last synced: 7 months ago
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An Ontology Design Pattern (ODP) of VDI guideline 2860 which contains a taxonomy / model of various handling operations and their atomic actions.
- Host: GitHub
- URL: https://github.com/hsu-aut/industrialstandard-odp-vdi2860
- Owner: hsu-aut
- License: mit
- Created: 2021-12-03T14:23:02.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-11-17T13:07:06.000Z (almost 2 years ago)
- Last Synced: 2023-11-18T14:34:16.126Z (almost 2 years ago)
- Topics: handling-operations, manufacturing, odp, ontology, owl, semantic, semantic-web
- Homepage: https://hsu-hh.de/aut
- Size: 815 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# VDI 2860 Ontology-Design-Pattern
## Introduction
The development of software functionalities, or applications in general, that monitor and analyze manufacturing related data in order to improve, support or automate processes, is becoming increasingly important in industry. These applications require several information from different data sources in their context. An application that is planning a maintenance workers daily schedule for instance, requires several information about machine statuses, production plans and inventory, which resides in different systems likes Programmable Logical Controllers (PLC) or Structured Query Language (SQL) databases. Furthermore, manufacturing companies usually run machines and software systems from different vendors or of different ages. The schemata used in such systems do therefore not follow a certain standard, i.e. they are very heterogeneous in their semantics. When building such applications, accessing, searching and understanding the data sources is becoming a very time intensive, manual and error prone procedure that is repeated for every newly build application and for every newly introduced data source. To allow for an eased access, searching and understanding of these heterogeneous data sources, an ontology can be used to integrate all heterogeneous data sources in one schemata.
This repository contains an ontology of VDI guideline 2860 which describes handling operations and the way they are made up of atomic actions. We maintain a whole list of standard-based ontologies, check out these links:
- [DIN EN 61360](https://github.com/hsu-aut/IndustrialStandard-ODP-DINEN61360)
- [VDI 2206](https://github.com/hsu-aut/IndustrialStandard-ODP-VDI2206)
- [VDI 3682](https://github.com/hsu-aut/IndustrialStandard-ODP-VDI3682)
- [DIN 8580](https://github.com/hsu-aut/IndustrialStandard-ODP-DIN8580)
- [ISA 88](https://github.com/hsu-aut/IndustrialStandard-ODP-ISA88)
- [WADL](https://github.com/hsu-aut/IndustrialStandard-ODP-WADL)
- [DIN EN 62264-2](https://github.com/hsu-aut/IndustrialStandard-ODP-DINEN62264-2)
- [OPC UA](https://github.com/hsu-aut/IndustrialStandard-ODP-OPC-UA)
- [ISO 22400-2](https://github.com/hsu-aut/IndustrialStandard-ODP-ISO22400-2)
## VDI 2860 - Handling Operations
VDI 2860 [1] defines terms to describe handling operations. It contains a taxonomy of the most relevant terms of this field. Unfortunately, this specification is only available in German (file "VDI2860.owl").
An unofficial translation can be found in this [wiki article](https://github.com/hsu-aut/IndustrialStandard-ODP-VDI2860/wiki/VDI-2860-Translations-(unofficial)).
The German labels as well as the unoffical English translation were saved in the .owl-File with rdfs:label_DE & rdfs:label_EN.
The following figure shows the taxonoy defined in VDI 2860:
Figure 1: Taxonomy defined in VDI 2860
[1]: VDI 2860: Handhabungsfunktionen, Handhabungseinrichtungen; Begriffe, Definitionen, Symbole , 05/1990.
## Usage
If you want to use this ontology design pattern, the easiest way is to directly import it into your ontology via `owl:imports` statements. Make sure to reference a fixed release version so that you can't get surprised by future changes. To do so, click on the branch selection right below the number of commits and select a tag from the dropdown, e.g. v1.4.2. Then navigate to the .owl-file and open the raw file. For this example it would be https://raw.githubusercontent.com/hsu-aut/IndustrialStandard-ODP-VDI2860/v1.4.2/VDI2860.owl. You can use this URL in an `owl:imports` statement of your ontology. If you're having trouble using this URL in a tool like Protégé, try opening your ontology with a text editor and simply inserting your imports manually.
An example of an imports section looks like this:
```xml
```
Of course you can also clone or download this repository and import an ODP from a local copy. The advantage of the first approach is that tools like Protégé or TopBraid Composer will directly use the ontologies from the internet and you can simply increase the version number in case you want to use a newer version of our ODPs.
## Tool Support
In case you want to make creating individuals from these TBoxes a lot easier, check out our 'Lightweight Industrial Ontology Design Support Tool' (LiOnS). It is designed to create RDF models using the Ontology Design Patterns of this repository. This enables users to:
- Semi-automatically design RDF models (only variable parts of the graph have to be defined)
- Consistent modelling, without being an ontology expert
- Downloading Turtle serialized models or SPARQL INSERTs
For more information, see https://github.com/hsu-aut/lion.
## Further reading:
- C. Hildebrandt, A. Köcher, C. Kustner, C.-M. Lopez-Enriquez, A.W. Muller, B. Caesar, C.S. Gundlach, A. Fay: _Ontology Building for Cyber-Physical Systems: Application in the Manufacturing Domain_. IEEE Transactions on Automation Science and Engineering, 2020, S. 1–17.
- C. Hildebrandt, S. Törsleff, T. Bandyszak, B. Caesar, A. Ludewig, A. Fay: _Ontology Engineering for Collaborative Embedded Systems – Requirements and Initial Approach_. In: Schäfer, Karagiannis (Hrsg.): Fachtagung Modellierung, 2018.
- C. Hildebrandt, S. Törsleff, B. Caesar, A. Fay: _Ontology Building for Cyber-Physical Systems: A domain expert centric approach_. In: 2018 14th IEEE Conference on Automation Science and Engineering (CASE 2018), 2018.
- C. Hildebrandt, A. Scholz, A. Fay, T. Schröder, T. Hadlich, C. Diedrich, M. Dubovy, C. Eck, R. Wiegand: _Semantic Modeling for Collaboration and Cooperation of Systems in the production domain_. In: 22nd IEEE Emerging Technology and Factory Automation (ETFA), 2017.