Please contact Adnan Latif or Lise Reang Elliott , in case of any queries. 

Registration is now open and GA program is available here

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Registration is now open and GA program is available here

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In case of any questions, please get in touch with Adnan Latif

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Registration is now open and GA program is available here

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Bouvet ASA is a Scandinavian company that provides consultancy and development services in information technology and integrated communication to public and private sector enterprises. The company offers services in the areas of creative design, communication services, web portals, custom application development, system integration, SAP, business intelligence, application management, and education and training. It serves the commerce, energy, public, retail, banking and finance, and service industries.

In SIRIUS, this partnership will be focused on field development beacons, especially around the Information modelling framework related projects. Bouvet has extensive experience, tools and in-house competency in this domain and will have a key role in driving these projects.

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This is first of a series of seminars on digital twins organized by the SIRIUS Centre for Research-Driven Innovation, the PeTWIN NFR research project and the dScience centre of the University of Oslo. The first of these seminars will be given by Janne Aas-Jakobsen, CEO of Consigli AS.

The seminar will be held virtually. Please register here to be sent a link for joining the seminar. https://nettskjema.no/a/234184

The digital twin for the building and construction industry has a very strong 3D-flavour and has been driven towards the ultimate visualization rather than a rich information model to support decision making. Consigli is developing a data-driven platform, aiming to design buildings by ML, Mathematics and coded domain knowledge – a self-designing engineer as a service. With hands on experience of the gap between the digital twin (BIM) and AI in the building and construction sector, Janne, the founder of Consigli, will present the ongoing research and development, challenges and opportunities related to their work.

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https://ottr.xyz/event/2021-01-28-user-forum/

This event will take place virtually on Thursday 28th January 2021 at 12:00–14:00 CET. The purpose of the event is to let users of the OTTR framework share experiences and to meet the developers behind OTTR to discuss future directions. The event should also be of interest to those that are curious to see practical uses of the OTTR framework. We also welcome input and presentations of tools and technologies that are related to OTTR.

Ontology Engineering

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SIRIUS is once again heavily involved in the November Conference in Rio de Janeiro. This year the event is virtual, with a plenary on 9th November 2020 and parallel sessions on various days in October, November and December 2020. David Cameron is chairman of the program committee for the conference.

SIRIUS is also co-organizer of the session on Digitalization and Autonomy on 10th November 2020. Geir Horn and Marta Rozanska will be presenting their work in this session.

For more information, see the Innovation Norway website:

https://www.innovasjonnorge.no/en/start-page/norway-brazil-weeks/program/

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Submissions are due by 31st December 2020.

https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/ontology-based-software-architectures

Semantic technologies and knowledge-based systems are gaining momentum in society and industry. A variety of standards, techniques and tools have become available for the development, deployment, and maintenance of ontologies and related artefacts. However, the use of ontologies as an active integrating component in complex software systems is less well understood. The lack of a clear understanding of the role of an ontology in a software system is one of the major challenges to the adoption of ontologies and semantic technologies in mainstream software. This special issue solicits best practices, practitioner insights and novel theoretical contributions to architectures, techniques, orchestrations of artefacts and tools for the realisation of successful ontology-based software systems.

Topics of interest include (but are not limited to) the following:

• Ontology-based software architectures
  • development methodologies, environments and tools
  • system architecture, ontology architecture
  • management and orchestration of multiple ontology-based systems
  • design and management of artefacts (ontologies, constraints, mappings, data sources, queries, interfaces, etc.)
• Reports from real-world deployments and applications of ontology-based systems
  • lessons learned and new insights to the field
  • best practices of development, deployment and maintenance
  • benefits and costs, especially in comparison with alternative technologies
  • socio-technical aspects
• Core technologies and tools relevant for the realisation of ontology-based systems
  • ontology engineering tools and methodologies
  • ontology reasoners
  • ontology alignment and integration
  • data quality and constraints
  • ontology-based data integration
  • ontology-based data access
  • ontology-driven user interfaces, including visualisation, query interfaces, etc.

Submissions must clearly state their contributions’ role and relevance in the application, development or management of ontology-based software systems.

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He is s defending the thesis Low-Resource Adaptation of Neural NLP Models.

Real-world applications of natural language processing (NLP) are challenging. NLP models rely heavily on supervised machine learning and require copious amounts of annotated data. These resources are often based on language data available in massive quantities, such as English newswires. However, in real-world applications of NLP, the textual resources vary across several dimensions, such as language, dialect, topic, and genre. It is challenging to find annotated data of sufficient amount and quality. The objective of this thesis is to investigate methods for dealing with such low-resource scenarios in information extraction and natural language understanding. To this end, we study distant supervision and sequential transfer learning in various low-resource settings. We develop and adapt neural NLP models to explore several research questions concerning NLP tasks with minimal or no training data.

During his time at SIRIUS, Farhad has collaborated with Schlumberger and IBM. He was also an UTFORSK exchange fellow at the Federal University of Rio Grande do Sul.

Trial Lecture

His trial lecture will be on “Natural Language Inference: Datasets, Methods, Current Challenges and What’s Next”

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