A Study on Design and Implementation of Image-Based Scholarly Information System

近年来信息处理技术的发展，特别是图像分析技术的发展，使得学术信息的积累和传播不仅限于传统的文本信息，还可以通过图像来实现。本研究旨在建立一种分析、存储和利用以文档图像表示的学术信息的方法，以改进学术信息数据库的编制和人机界面。在文档图像分析方面，本文提出了一种自动分析文档图像并建立文档图像数据库的方法。所开发的方法是基于概率语法，这是一个扩展的语法处理对象布局在二维空间。对于文档图像存储，我们研究了一种近似字符串匹配的方法来提取错误文本的信息，这些错误文本是通过开发的图像分析方法获得的。在利用方面，我们开发了一个实验性的书目整合系统，整合了目录、论文和参考文献中的书目数据。通过该系统对所开发的文献图像分析与存储方法的可行性进行了评估，证实了该方法在书目集成中的有效性。

Rescent progress of information processing technology especially on the image analysis enables to accumulate and distribute scholarly information with images as well as conventional texts. This research project aims to establish a methodology for analyzing, storing and utilizing scholarly information represented with document images for improving the scholarly information database compilation and the human machine interface. As for the document image analysis, we developed a method for analyzing document images and construct a database from the document images automatically. The developed method is based on the probabilistic grammar, which is an extended grammar for handling objects layouted in two dimensional space. As for the document image store, we studied an approximate string matchig method to extract information from erroneous texts which is obtained by the developed image analysis methods. As for the utilization, we developed an experiemental bibliographic integration system that integrates bibliographic data appearing in table of contents, articles and references. By this system, we evaluated the feasibility of the developed document image analysis and storage methods and confirmed that the method is effective enough to apply to the bibliographic integration.