Data-knowledge Integration Research Team

The Data Knowledge Integration (DKI) research team specializes in goal-oriented knowledge graphs and ontology development, context-aware dialogue modeling for AI-based interaction management.
AI technology is rapidly progressing into society and the people's every-day life, ranging from child-care, care-services and safety management to well-being, healthy living, and active aging. It is thus important that AI can be used to realize solutions and services that support people's daily activities and enable friendly, efficient and trustworthy interactions between humans and between humans and autonomous applications in smart environments. However, such interactions require understanding of the people's intentions, motions, and interactions, as well as knowledge about actions, objects, and their relations and roles in the human activities. While neural network based AI achieved recognition of objects and motions in many applications in some extent, integration of knowledge required to interpret human daily activity into data driven AI still remains to be an ambitious challenge.
To develop AI systems for real-world situations, it is necessary to recognize and interpret human daily activities, integrate them to structured knowledge (manuals, safety guidelines, law, etc.) not embodied in the observed data and generate intelligent reactions. X to Knowledge Graph technology integrates structured knowledge into multimodal and sensor observation data to provide a computational framework, which enables us to develop AI technologies that exploits hybrid modeling techniques (rule-based and neural models) for AI-based interaction management. Using such technologies, the DKI team is working on uncovering the semantics of human behaviour, and developing AI technology that can recognize and support various episodes of daily activities by integrating observation data and knowledge into a context-aware dialogue model that allows natural interaction in a variety of cases where it is necessary for humans to have dialogue interactions with other agents and with the smart environment.