Page 13 - Sirius_Annual_Report_2021
P. 13

    Ontology Regularities Templates
Figure 1: Reverse-engineering ontologies: Automated regularity extraction combined with automated template creation.
remain opaque. However, a principled and systematic ontology design is likely to be reflected in regularities for axioms. Identifying such regularities may help to recover and unveil conscious design choices and otherwise recurring modelling practices.
This reverse-engineering of ontologies provides a starting point for high-level language services, e.g., automated rewritings from OWL into OTTR for the purpose of redun- dancy removal, model verification, data validation, only to name a few.
Highlights of 2021
• A concept paper for the Information Modelling Fra- mework was delivered by the READI Joint Industry Project
• IMF is implemented in the NOAKA field development project to develop, share and exchange overarching process and electricity supply models
• The IMF editor Mimir was released for use
• The 2nd OTTR user forum took place in June 2021 with more than 20 participants from a multitude of industrial companies and universities. Featuring talks from Veroni- ka Heimsbakk (CapGemini), Basil Ell (SIRIUS) and Moritz Blum (Bielefeld University), and Johan Klüwer (DNV).
• The OTTR framework continues to receive attention from our industrial partners and is a central part of pro- jects that apply semantic technologies.
• OTTR has been integrated with Semantic Mediawiki through a plugin developed by Basil Ell and colleagues/ students at Bielefeld University.
Several master students at UiO undertake a master thesis topic related to the OTTR project. The topics include:
• Developing a translation from OTTR templates to SPAR- QL queries to allow templates to be used as queries.
• Developing a functional term manipulation language that builts on and complements OTTR by supporting features such as concatenating strings to construct IRIs.
• Characterising and implementing OTTR constructs and the expansion mechanism with a relational database.
• Developing algorithms for synchronised updates and expansion of OTTR instance data.
• Developing a visual language for OTTR templates.
 SIRIUS ANNUAL REPORT 2021
| 13
















































































   11   12   13   14   15