Library and Information Science

Library and Information Science ISSN: 2435-8495
三田図書館・情報学会 Mita Society for Library and Information Science
〒108‒8345 東京都港区三田2‒15‒45 慶應義塾大学文学部図書館・情報学専攻内 c/o Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
Library and Information Science 31: 79-93 (1993)

原著論文Original Article

段落を対象とした日本語全文データベースの検索Full-text database retrieval using paragraphs: In the case of Japanese technical document database

鉄道総合技術研究所池田(知識データベース)研究室Knowledge & database engineering laboratory, Railway Technical Research Institute ◇ 〒185-8540 東京都国分寺市光町二丁目8番地38 ◇ Hikari-cho 2-8-38, Kokubunji-shi, Tokyo 85-8540, Japan

受付日:1994年2月5日Received: February 5, 1994
発行日:1994年3月31日Published: March 31, 1994

In these days the online full-text databases are increasing, but these full-text databases are difficult to retrieve, because recall is higher than bibliographic databases, and precision is so lower. There are cases where we don’t always read whole paper, but use one or a few part of an article. So this paper presents an approach to retrieve the relevant parts of a document by using paragraphs of individual documents. Sample documents are 49 articles in Japanese about information retrieval and natural language processing studies. The retrieval technique used in this retrieve experiment is the vector space model. As a result, the higher precision and recall were shown by using the words in chapter titles or section headings to retrieve the relevant paragraphs.

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