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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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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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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He is s defending the thesis Adaptive Query Extension Suggestions for Ontology-Based Visual Query Systems.

Many modern search systems allow users to narrow down their search by applying one or more search filters to the available data. This works well until the combination of filters becomes too restrictive, and no results remain. When this happens, the user needs to backtrack and remove the filter they just added, which is very counterproductive. In order to prevent this from happening, the search system should detect and disable too restrictive filters before the user activates any of them.

Current solutions are only able to do this in some special situations, but the solution presented in this thesis is more flexible and works in any situation.

Trial Lecture

His trial lecture will be on “Combining symbolic and non-symbolic knowledge representation for explainable AI solutions”.

A video of the trial lecture is available here:

https://www.mn.uio.no/ifi/forskning/aktuelt/arrangementer/disputaser/2020/Vidar.triallecture.mp4

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• Billington Process Technology.
• Ontopic.
• Oxford Semantic Technologies.
• Prediktor.

Partnership for Small and Medium Enterprises (SMEs)

SIRIUS partners, with one exception, have been large firms with well-defined technology development and research organisations. They have the economic resources and capacity to fulfil the obligations of partnership in SIRIUS. Small and medium-sized enterprises (SMEs), however, lack this capacity. They are, however, valuable actors in the oil & gas supply chain. They also develop and sell tools that can contribute to the SIRIUS laboratory. By working with these companies, we can find new paths to commercialization for SIRIUS laboratory results.

During the last three years of the centre we will be seeking to demonstrate how our research can be used practically in industrial companies. We also wish to demonstrate that our methods and tools can work with and enhance IT and business processes related to sub-surface data management, digital twins, digital field development, integrated digital planning and cross-domain applications.

Therefore, SIRIUS has opened for SMEs to join the centre with a financial contribution that is better fitted to their capacity. A SME can be a partner if they supply products and services that contribute to SIRIUS’ research programs and beacon initiatives. Their contribution to the centre is that they make their product and expertise available to the SIRIUS researchers and projects. In this way, we get access to the forefront of commercial tools. This means that our research can address industrial challenges, without the need to “reinvent the wheel” by building academic versions of commercially available functionality. Our SME partners, in return, can implement our research results to improve their products, thereby providing our researchers with a new path to innovation.

Two partners who deliver leading tools in semantic technology

SIRIUS believes that semantic technologies have the potential to revolutionize how we access and reason about industrial data. For this to happen, we need to have robust, scalable and commercially supported software. The OPTIQUE project demonstrated the power of ontology-based data access using pre-commercial software from universities, including the Free University of Bolzano in Italy and the University of Oxford in the United Kingdom. Since the end of the OPTIQUE project, both universities have created start-ups to commercialize and support the software that was used in OPTIQUE. Bringing these companies in as partners is good for both them, SIRIUS research and other SIRIUS partners. The SIRIUS laboratory gets access to commercially supported software for use in laboratory and innovation projects. The start-ups get access to industrial projects and can qualify their products against realistic projects with SIRIUS partners. Experience from the SIRIUS projects is used to improve the products and feed back into further research at the parent universities.

Oxford Semantic Technologies

Oxford Semantic Technologies is an Oxford University spin-out, established in 2017. Oxford Semantic Technologies develop RDFox, a highly scalable standards-based, in-memory RDF triple store and semantic reasoning engine. It is the first knowledge graph built from the ground up with semantic reasoning in mind. Many advanced features, including patented modern computing techniques, underpin RDFox’s ability to deliver responses to complex queries on the fly. RDFox is unmatched in power, speed and reasoning capabilities.

Ontopic

Two partners at the forefront of digital twin technologies

The other two partners in SIRIUS are Norwegian specialist companies that both have a long history of delivering highly technical products and services to the oil and gas industry. Their experience and products are important in implementing digital twins for oil and gas and the process industries. The two companies work together already to provide commercial on-line systems and digital twins.

Billington Process Technology

Billington Process Technology (BPT) is a supplier of simulation and engineering design services and software. They are based in Bærum, just west of Oslo, and were founded in 1998. They deliver process engineering and simulation services to the oil and gas industry and deliver a set of process engineering applications that work together with commercial tools for process simulation. BPT is a leading centre of competence in process simulation and computer-aided process engineering. Dynamic and steady-state process simulation is a core component in a digital twin for oil and gas. This means that their software and knowledge will be a valuable contribution to SIRIUS’ digital twin beacon.

Prediktor

Prediktor AS, based in Fredrikstad, Norway, is an integrator of operational data from facilities. They have supplied a semantic OPC gateway to Equinor. The semantic node set for OPC UA that was developed has just been open sourced by Equinor.

Prediktor’s Apis product is a component based real-time industrial software platform used in more than 1000 installations, mostly in mission critical areas within Oil & Gas, Maritime and Manufacturing industries. Apis supports a variety of communication protocols such as OPC, OPC UA, Modbus and WITS. Typical use of Apis is as:

• Data Historian
• Data Acquisition Hub
• Protocol converter
• IOT Gateway
• OPC UA-based information modelling framework

Apis has extensive support for information models based on open standards from OPC Foundation. The overall objective of information modelling is to provide a standardized and unified way of accessing operational data from different assets. Major oil & gas operators are examples of customers using our products as an integral part of their digitization initiatives.

Prediktor is a leading implementer of semantic modelling of real-time data, especially using OPC UA. They will be contributing to work in the Ontology Engineering, Semantic Integration and Digital Twins programmes.

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