Scattered Requirements Dust in the Era of Web3 – a Vision Keynote

Abstract

This extended abstract paper presents a vision for data and AI requirements governance in distributed System-of-Systems (SoS) that involve multiple parties and dynamic alliances, such as in the defense domain (e.g. different weapon systems on the battlefield). The paper proposes to use web3 technologies, such as distributed ledger and secure multi-party computation, to enable collaborative analytics and data interoperability among the SoS members, while preserving their sovereignty and privacy. The paper also suggests a model-driven approach that can generate executable code and workflows from a common ontology and a semantic mapping tool, which can facilitate the alignment and verification of the data and AI requirements among the coalition members. The paper demonstrates the feasibility and effectiveness of the approach through a prototype implementation in the defense domain and a case study involving a multi-party coalition of the willing to detect a SA-8 anti-aircraft battery that in essence is a sensor-Data Fusion with different sensors on different weapon systems.