An Information Retrieval using Conceptual Index Term for Technical Papers

技术论文概念索引词的信息检索

• 批准号: 09480076
• 负责人: NAKAMURA Takayuki
• 金额: $ 7.1万
• 依托单位: Nara Institute of Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09480076/
• 关键词: Conceptual Retrieval; Digital Library; Information Retrieval; ディジタル図書館; ディジタルライブラリ; 情報検索; 文献検索

In this research, we proposed a new Information Retrieval (IR) method using semantic information from technical papers. The proposed method is suitable for use in Digital Libraries (DL). Users of Digital Libraries need to retrieve information which meets their semantic requirements. An important problem is the reduction of retrieval errors caused by differences in requests among individual users. To solve this problem, we used some techniques of natural language processing, and dictionaries that describe the relations between words and concepts.To extract semantic information of technical papers, we applied morphological analysis program for text data derived from images of technical papers as OCR results. After morphological analysis, we extract only nouns and examine their distribution of word appearance frequency for later use. We also extract concepts of nouns with EDR concept dictionary and calculate their distribution of concept appearance frequency. Combining the distribution of word appearance frequency and that of concept appearance frequency, we get the concepts which correspond with the subject of technical papers. One of the key ideas of this research is handling concept as concept paths which include the relations among concepts. This helps abstraction of concepts of the subjects of technical paper. Experimental results show effectiveness of the proposed method. We also realized a prototype system of conceptual information retrieval. We focused on technical papers written in Japanese in this paper. As EDR dictionary also has concept dictionary of English words, we can apply our method to technical papers written in English easily. One of the characteristics of EDR concept dictionary is that expression of concepts are in common with Japanese words and English words. This will help cross lingual information retrieval.

在本研究中，我们提出了一种新的信息检索（IR）方法，利用语义信息的技术论文。该方法适用于数字图书馆。数字图书馆的用户需要检索到满足其语义需求的信息。一个重要的问题是减少检索错误所造成的差异，在个别用户的要求。为了解决这一问题，我们使用了自然语言处理技术和描述词与概念之间关系的词典，并对技术论文图像中的文本数据应用形态学分析程序作为OCR结果来提取技术论文的语义信息。形态分析后，我们只提取名词，并检查其分布的单词出现频率为以后使用。利用EDR概念词典提取名词概念，计算概念出现频率的分布。结合词的出现频率分布和概念的出现频率分布，得到与科技论文主题相对应的概念。本研究的核心思想之一是将概念作为概念路径来处理，概念路径包含了概念之间的关系。这有助于科技论文主题概念的抽象。实验结果表明了该方法的有效性。我们还实现了一个概念信息检索的原型系统。我们在这篇论文中重点介绍了用日语撰写的技术论文。由于EDR词典中也有英文单词的概念词典，我们可以很容易地将我们的方法应用到英文科技论文中。EDR概念词典的特点之一是概念的表达方式与日语词汇和英语词汇相同。这将有助于跨语言信息检索。

项目成果

C.Horii, M.Imai, K.Chihara: "An Information Retrival using Conceptual Index Term for Technical Pores on Digital Libraries" Proc.of ISDL 97. 205-208 (1997)

C.Horii、M.Imai、K.Chihara：“数字图书馆技术孔概念索引术语的信息检索”Proc.of ISDL 97. 205-208 (1997)

Rei Suzuki, Kideki Sunahara, Masakazu Imai, Kunihiro Chihara: "Building Digital Library System-NAIST Challenge-" Proceedings of International Symposium on Research,Development & Practice in Digital Libraries.(1997)

Rei Suzuki、Kideki Sunahara、Masakazu Imai、Kunihiro Chihara：“构建数字图书馆系统-NAIST挑战-”研究、发展国际研讨会论文集

C.Hori, M.Imai and K.Chihara: "Concept Information Retrieval of Technical Papers for Digital Libraries" Proc.Of Advances in Digital Library. (To appear). (1999)

C.Hori、M.Imai 和 K.Chihara：“数字图书馆技术论文的概念信息检索”Proc.Of 数字图书馆进展。

C.Hori, M.Imai and K.Chihara: "An Information Retrieval using Conceptual Index Term for Technical Paper on Digital Libraries" Proc.Of ISDL'97. 205-208 (1997)

C.Hori、M.Imai 和 K.Chihara：“使用数字图书馆技术论文概念索引术语进行信息检索”Proc.Of ISDL97。

C.Horii, M.Imai, K.Chihara: "Concepts Information Retrieval of Technical Papers for Digital libraries" Proc. of Advance in Digital Library. (To appear). (1999)

C.Horii、M.Imai、K.Chihara：“数字图书馆技术论文的概念信息检索”Proc。