Advanced hierarchical information retrieval system using structure of contents, indexes and full-texts in Japanese text.

本研究的目的和意义在于为电子图书馆或未来的全文信息检索系统提供一些固定的技术指标和设计模式。在此之前，我们通过内容信息和索引构建了全文知识的框架，并将其作为教师机器，开发了检索系统，将其重构为超文本。为此，我们准备并试验了以下研究过程。(1)我们提取了全文中的术语，保持了章节结构的层次结构，并研究了标题和内容中的术语层次以及它们之间的差异。(2)在此基础上，明确子期刊题名、目录、索引中术语之间的相互关系。并以此为基础设计了一个先进的信息检索系统，并进行了实验。(3)考虑到层次性，我们尝试对全文进行超文本化， ...更多信息 最后获得了20本学术图书的机读全文，并以章节结构的形式将其转化为数据库。我们介绍了Nagao博士开发的JUMAN：形态分析程序，并分析了这些文本的形式。在此基础上，我们对标准词典中的词汇进行了排除，并编写了相应的程序，提取了复合词，识别出了能够表达该书特色的词汇。内容数据的拖拽结构是由Nagao博士设计的，可以自动拖拽大部分内容。的影响，这是装备在阿里阿德涅。我们可以统一的章节结构的内容和差异之间的粗糙和关闭仍然没有解决1994年。通过对拖移的推广，形式化了层次结构的唐斯，并通过检索程序区分层次结构的相对唐斯，消除了拖移。利用全文的名词知识，我们几乎解决了粗略和接近的区别。少

This research has the purpose and the meaning to give the electronic libraries or vast future full-text information retrieval some fixed technical guide lines and models of design. Before that we constructed the framework of the knowledge in the full-text by contents information and the indexes, which we used it as a teacher machine, and developed the retrieval system to reconstruct it into the hypertext. For this purpose we prepared and experimented the following research process.(1) We extracted the terms in the full-text, keeping the structure of hierarchy like chapter structure and researched the hierarchical terms in titles and contents, and differences between them.(2) According to that research we defined the mutual relatins of the terms which appeared in the titles, the contents, and the indexes. And using that as a techer we designed the advanced information retrieval system and experimented it.(3) Considering the point of hierarchy, we tried to hypertextlize the full-text and … More put that retrieval system into it.Finally we acquired the machine readable full-texts of 20 academic books, and turned them into database in the form of chapter structure. We introduced the JUMAN : morphological analysis program which Dr.NAGAO developed and analyzed the form of those texts. After that we excluded the terms in the standard dictionary and prepared the program which extracted the compound words and unidentified the terms which can express the character of the book. The tug structure of the contents data was designed by Dr.NAGAO which could do automatic tugging the most of the contents. The effects of that was equipped in Ariadne.We could unify the chapter structure of contents and difference between the rough and the close which remained unsolved 1994 year. We formalized the ups and downs by generalizing the tugging and got rid of them by the retrieval program which can distinguish the relative ups and downs of hierarchy. We almost resolved the difference of the rough and the close by using the knowledge of the nouns of the full-text. Less