Construction of a knowledge network for Sustainability Science using the EKOSS platform for sharing, discovery and integration of expert knowledge

Research Project , Research Report 2007

Steven KRAINES Science Integration Programme - Human, Division of Project Coordination, Univ. of Tokyo
Weisen GUO Science Integration Programme - Human, Division of Project Coordination,Univ. of Tokyo
Yuya KAJIKAWA The Institute of Engineering Innovation, School of Engineering, Univ. of Tokyo
Brian KEMPER Graduate School of Information Science and Technology, the University of Tokyo
Yutaka NAKAMURA Sanyo Meteorogics Co., Ltd


Towards the realization of a fully functional and publicly accessible web site for integrating knowledge generated from research at the University of Tokyo and other research institutions in the domain of sustainability science, we have developed a new graph visualization tool. This tool helps users to visualize the degree of semantic proximity between the researchers as represented by the contents of the semantic statements describing their research. The graph visualization tool will be linked to the web-based system for the knowledge network for sustainability science that we are creating through application of the EKOSS system developed in previous research. The basic functionality of the tool as well as envisioned applications and further development tasks are described here. Application of web service technologies, which are being explored in collaboration with the Center for Knowledge Structuring, is also discussed. Finally, we have added 75 semantic statements describing study topics of researchers at the University of Tokyo related to issues of energy and sustainability. As in previous years, the semantic statements were created in terms of the concepts and logical framework of the description logics ontology “SCINTENG” developed in previous work for expressing knowledge in the domain of sustainability science.
  The knowledge network for sustainability science is intended to support exploratory analysis of the interrelationships and logical conclusions that can be drawn from the semantic statements that have been created through the EKOSS system. This analysis is expected to help in the identification of critical connections between knowledge from different studies and possibly the establishment of new knowledge through integrative analysis techniques such as inductive logical reasoning based on graph mining. The work presented here represents a major step towards realizing this network system.


Expert knowledge, knowledge network, knowledge integration, semantic search, knowledge description, sustainability science