Preliminary Conference Agenda

From Data Platform to Knowledge Infrastructure

In the 21st century, the significance of data has been distinctly recognized as a major trend in both academia and society. The digitalization of data and its open dissemination have led to substantial academic advancements. In Japan, with the National Institute of Informatics (NII) at the forefront, there has been a continuous development of network infrastructure leading up to SINET6 and the establishment of research data platforms.  Moving forward, for academic research to delve deeper as comprehensive knowledge and address complex societal challenges, it is imperative to automate data interpretation, relate and systematize knowledge, and construct a knowledge infrastructure that fosters the creation of new insights across disciplines. Given that the data infrastructure is in place and the value of open data has begun to be recognized, and with the advent of large language models (LLMs) rooted in machine translation research enabling sophisticated interpretation of papers and multimedia data, we can say that the groundwork for building a knowledge infrastructure has been set. This presentation introduces efforts to structure LLM research, development, and operational systems under broad academic collaboration, aiming for the construction of a knowledge infrastructure.

Bio:

Sadao Kurohashi received a PhD in Electrical Engineering from Kyoto University in 1994.  He is currently the Director-General of the National Institute of Informatics, Japan, and a specially appointed professor at the Graduate School of Informatics at Kyoto University.

His research interests include natural language processing, knowledge infrastructure, and open science.  He received the 10th and 20th anniversary best paper awards from Journal of Natural Language Processing in 2004 and 2014, respectively, 2009 IBM faculty award, and the 2010 NTT DOCOMO mobile science award, and the 2017 Commendation for Science and Technology by the Minister of Education.