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Adoption of the standards, listed as different layers in Table 1, presents several research challenges that SIRIUS researchers address.
First, most of these standards are not data standards. In order to serve the needs of data standards, the standards have to be significantly further detailed. This work must be based on solid and well understood principles that in many cases go beyond the principles on which the standards are based.
Second, the precision required for data standards makes it hard for domain expert to adopt them. It is important to develop languages, methods and tools that discipline experts in the industry can easily understand and use.
Third, the lack of inherent structure in RDF presents challenges for large RDF graphs. Further structure needs to be imposed. Our approach is based on OTTR templates.
Forth, the technology that IMF uses or develops is cutting edge and hence not mainstream. We develop a reference architecture that facilitates implementation of IMF. A key topic is management of identifiers.
Finally, we aim for a seamless integration of the technolo- gies and standards in Figure 2 so that they form a layered group of languages. To achieve this, we want to show how one layer can be used to represent the layer above, while also admitting a higher degree of detail, in analogy to the way a technology stack operates.
A concept paper about IMF was produced in the READI Joint Industry project and can be downloaded from the web page of READI (https:/readi-jip.org/wp-content/ uploads/2021/03/Information-modelling-framework-V1. pdf). Expected result in 2022 is a comprehensive manual comprised of several parts:
• Modelling method and language • Representation format
• Exchange protocols
• Reference architecture
• Management of change
Research publications and open-source software releases
are also planned.
The SIRIUS contribution to the IMF project is a collaboration between SIRIUS researchers and SIRIUS partners Equinor, Aibel, Aker Solutions, Bouvet, Computas and Envester. The research work is organized under the Ontology Engineering program, while the industrial use case is organized in the Field development demonstration project.
Team members (from SIRIUS)
Arild Waaler
Erlend Fjøsna, Envester
Martin G. Skjæveland
Rustam Mehmandarov, Computas
IMF IS BASED ON best practice from industry and state of the art technology and research, advancing and sharpening principles from several standards and industry initiatives and integrating them in a coherent and scalable way
SIRIUS ANNUAL REPORT 2021
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