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.

在这项研究中，我们使用技术论文的语义信息提出了一种新的信息检索（IR）方法。所提出的方法适用于数字库（DL）。数字图书馆的用户需要检索满足其语义要求的信息。一个重要的问题是减少了由于单个用户的请求差异而引起的检索错误。为了解决这个问题，我们使用了一些自然语言处理的技术，以及描述单词和概念之间关系的字典。为提取技术论文的语义信息，我们将形态分析程序应用于技术论文图像的文本数据，作为OCR结果。经过形态学分析，我们仅提取名词并检查其单词外观频率的分布以供以后使用。我们还提取使用EDR概念字典的名词的概念，并计算出其概念外观频率的分布。结合了单词外观频率和概念外观频率的分布，我们得到了与技术论文主题相对应的概念。这项研究的关键思想之一是将概念作为概念路径处理，其中包括概念之间的关系。这有助于抽象技术论文主题的概念。实验结果表明该方法的有效性。我们还意识到了概念信息检索的原型系统。我们专注于本文用日语编写的技术论文。由于EDR字典还具有英语单词的概念词典，因此我们可以轻松地将我们的方法应用于用英语编写的技术论文。 EDR概念词典的特征之一是，概念的表达与日语单词和英语单词共同。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。