Analysis of Annotation on Documents for Recycling Information
Tomohiro Nakai, Nobuyuki Kondo, Koichi Kise, Keinosuke Matsumoto · IEEJ Transactions on Electronics Information and Systems · 2006
In order to make collaborative business activities fruitful, it is essential to know characteristics of organizations and persons in more details and to gather information relevant to the activities. In this paper, we describe a notion of “information recycle" that actualizes these requirements by analyzing documents. The key of recycling information is to utilize annotations on documents as clues for generating users' profiles and for weighting contents in the context of the activities. We also propose a method of extracting annotations on paper documents just by pressing one button with the help of techniques of camera-based document image analysis. Experimental results demonstrate that it is fundamentally capable of acquiring annotations on paper documents on condition that their electronic versions without annotations are available for the processing.