Name: LING4S: The 1st Workshop on Linguistics and Graphs for Space!
Start: 2023-03-13T09:00:00+01:00
End: 2023-03-13T21:00:00+01:00
Location: ESA/ESTEC

LING4S: The 1st Workshop on Linguistics and Graphs for Space!

Monday, 13 March 2023 - 09:00

Monday, 13 March 2023
09:00 Welcome - Audrey Berquand (ESA) Ana Victoria Ladeira (ESA)
Welcome
- Audrey Berquand (ESA)
- Ana Victoria Ladeira (ESA)
09:00 - 09:20
Room: Einstein
09:20 Keynote: Artificial Intelligence and Natural Language Processing in Space: A Methodological Framework and Four ESA Case Studies - José Manuel Gómez-Pérez (Expert.ai)
Keynote: Artificial Intelligence and Natural Language Processing in Space: A Methodological Framework and Four ESA Case Studies
- José Manuel Gómez-Pérez (Expert.ai)
09:20 - 10:00
Room: Einstein The European Space Agency is well known as a powerful force for scientific discovery in numerous areas related to Space. The amount and depth of the knowledge produced throughout the different missions carried out by ESA and their contribution to scientific progress is enormous, involving large collections of documents like scientific publications, feasibility studies, technical reports, and quality management procedures, among many others. Through initiatives like the Open Space Innovation Platform, ESA also acts as a hub for new ideas coming from the wider community across different challenges, contributing to a virtuous circle of scientific discovery and innovation. Handling such wealth of information, of which large part is unstructured text, is a colossal task that goes beyond human capabilities, hence requiring automation. We present a methodological framework based on artificial intelligence and natural language processing and understanding to automatically extract information from Space documents, generating value from it, and illustrate such framework through several case studies implemented across different functional areas of ESA, including Mission Design, Quality Assurance, Long-Term Data Preservation, and the Open Space Innovation Platform. In doing so, we demonstrate the value of these technologies in several tasks ranging from effortlessly searching and recommending Space information to automatically determining how innovative an idea can be, answering questions about Space, and generating quizzes regarding quality procedures. Each of these accomplishments represents a step forward in the application of increasingly intelligent AI systems in Space, from structuring and facilitating information access to intelligent systems capable to understand and reason with such information.
10:00
10:00 - 11:00
Room: Einstein
Contributions

10:00 A sample of Natural Language Processing & Knowledge Graph applications at ESTEC - Audrey Berquand (ESA) Ana Victoria Ladeira (ESA)

10:20 TACTICIAN: AI-based applications knowledge extraction from ESA’s mission scientific publications - Omiros Giannakis (National Observatory of Athens) Guido De Marchi (ESA)

10:40 Can a Conversational AI Assistance (AI Chatbots) aid and improve the capture and sharing of knowledge and expertise in the space domain? - Andrew Herd (ESA)
11:00 Morning Break
Morning Break
11:00 - 11:20
Room: Einstein
11:20
11:20 - 13:00
Room: Einstein
Contributions

11:20 Unlocking the potential of Q&A over Knowledge Graphs for the Space Safety domain - Paul Darm (University of Strathclyde)

11:40 EarthPress: AI platform for real time breaking news detection including Earth Observation images - Maria Tsourma (Centre for Research and Technology Hellas)

12:00 Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering - Christel Chappuis (EPFL)

12:20 Digital Assistant for Digital Twin Earth - Giorgio Pasquali (e-GEOS)

12:40 Revolutionising Space Engineering with AI-powered Virtual Assistants - Iman Zolanvari (Qlindex - CEO)
13:00 Lunch Break
Lunch Break
13:00 - 14:10
Room: Einstein
14:10
14:10 - 15:10
Room: Einstein
Contributions

14:10 Enhancing Traceability graphs using AI-based automated feature engineering for MBSE use-cases - Sruthi Radhakrishnan (itemis AG) Ario Giancarlo Cecchettini (itemis AG)

14:30 Enabling a Digital Assistant for MBSE Activities with Large Language Models - Ted Pyne (Nitrexo) Yannick Melameka (Nitrexo) Sarah Holschneider (Eloquest GmbH)

14:50 Development of an AI-Powered Digital Assistant for Space System Engineering: Use Cases and Applications to the Initial Phases of the Design - Paloma Maestro Redondo (RHEA Group) Paul Darm (University of Strathclyde)
15:10 NASA’s Human System Risk Framework - Mary Van Baalen (NASA Johnson Space Center)
NASA’s Human System Risk Framework
- Mary Van Baalen (NASA Johnson Space Center)
15:10 - 15:30
Room: Einstein Risk is inherent in human spaceflight. The Human System Risks are a special category of risks that National Aeronautics and Space Administration (NASA), as an Agency, has to contend with when engaging with the challenges of human spaceflight. While programmatic and institutional safety risks are often tied to a specific program or activity, Human System Risks are designed to inform NASA Technical Standards, to protect human crews independent of any specific spaceflight program. Risk management in the context of human system risks can be viewed as a trade-based system where the relevant evidence in life sciences, medicine, and engineering is tracked and evaluated to identify ways to minimize overall risk to the astronauts and to ensure mission success. NASA’s Human System Risk Board (HSRB) manages the process by which scientific evidence is utilized to establish and reassess the postures of the various risks to the human system during all of the existing or anticipated crewed missions. The HSRB uses Directed Acyclic Graphs (DAG), a type of causal diagramming, as visual tools to create a shared understanding of the risks, improve communication among those stakeholders, and enable the creation of a composite risk network that is vetted by members of the NASA community. The knowledge captured is the Human Health and Performance community’s knowledge about the causal flow of a human system risk, and the relationships that exist between the contributing factors to that risk.
15:30 Afternoon Break
Afternoon Break
15:30 - 15:50
Room: Einstein
15:50 Brainstorming Guidelines - Audrey Berquand (ESA) Ana Victoria Ladeira (ESA)
Brainstorming Guidelines
- Audrey Berquand (ESA)
- Ana Victoria Ladeira (ESA)
15:50 - 15:55
Room: Einstein
15:55 Transfer to Brainstorming Rooms
Transfer to Brainstorming Rooms
15:55 - 16:00
Room: Einstein

16:00 Brainstorming Sessions
Brainstorming Sessions
16:00 - 17:15
Room: Einstein

17:15 Transfer back to Einstein room
Transfer back to Einstein room
17:15 - 17:20
Room: Einstein

17:20 Brainstorming Outputs Summary
Brainstorming Outputs Summary
17:20 - 17:50
Room: Einstein
17:50 Closing Statements - Ana Victoria Ladeira (ESA) Audrey Berquand (ESA)
Closing Statements
- Ana Victoria Ladeira (ESA)
- Audrey Berquand (ESA)
17:50 - 18:00
Room: Einstein
18:00 Networking Drinks
Networking Drinks
18:00 - 21:00
Room: Einstein