Abstract
When using text and data mining to analyze existing data bases and web contents in order to develop service solutions aimed at users' knowledge-related needs, we must first ask in what way, and until what point, should we attempt to understand those needs? This paper summarizes results of a research project conducted within the framework of the "Needs Oriented Service Science and Engineering Research" (NEXER) program funded by the Japan Science and Technology Agency's Research Institute of Science and Technology for Society (JST-RISTEX). This research clarified social needs for which "knowledge structure" mapping and other visualizations based on judicial precedent and other legal information, would be useful. Lastly, it explores how related knowledge products and services could best be structured to benefit society.
