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

Research Project , Research Report 2006

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 Inst. of Systems Eng. of Dalian University of Technology
Brian KEMPER Science Integration Programme ? Human, Division of Project Coordination,Univ. of Tokyo
Yutaka NAKAMURA Sanyo Meteorogics Co., Ltd

Abstract

A prototype web-based knowledge network for sustainability science based on computer-interpretable semantic descriptions of research projects funded by the AGS-Japan office has been constructed as a first step towards the realization of a fully functional and publicly accessible web portal for knowledge generated from global sustainability research at the University of Tokyo and other research institutions. Specifically, using the EKOSS web system for authoring computer-interpretable semantic descriptions of expert knowledge based on ontologies, semantic knowledge descriptions of more than 60 research projects that have been funded by the AGS-Japan office at the University of Tokyo from 2000 to 2005 were created based on a description logics ontology designed for expressing knowledge in the domain of sustainability science. Together with this development of content for the EKOSS system, software tools and interfaces have been developed in an iterative process for the AGS version of the EKOSS web platform to help both knowledge creators and knowledge seekers to access the system more intuitively. The combination of software system and semantic knowledge description content will be used to create a knowledge network for sustainability science based on research funded by the AGS-Japan office. Preliminary results are presented of the analysis of the interrelationships and logical conclusions that can be drawn from the semantic descriptions that we have created in the system. Extensive analysis of this form will help to identify critical connections between knowledge from different studies and possibly establish new knowledge based on the integration of that established knowledge.

Keywords:

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