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2000 Fiscal Year Final Research Report Summary

RESEARCH ON KEY WORDS SYSTEMATIZATION FOR INFORMATION RETRIEVAL OF EDUCATIONAL RESOURCE ON THE INTERNET

Research Project

Project/Area Number 11680210
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Educational technology
Research InstitutionTOKYO INSTITUTE OF TECHNOLOGY

Principal Investigator

NAKAYAMA Minoru  TOKYO INSTITUTE OF TECHNOLOGY, THE CENTER FOR RESEARCH AND DEVELOPMENT OF EDUCATIONAL TECHNOLOGY, Assoc.Professor, 教育工学開発センター, 助教授 (40221460)

Co-Investigator(Kenkyū-buntansha) MASAO Murota  TOKYO INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF DECISION SCIENCE AND TECHNOLOGY, Assoc.Professor, 大学院・社会理工学研究科, 助教授 (30222342)
NISHIKATA Atsuhiro  TOKYO INSTITUTE OF TECHNOLOGY, THE CENTER FOR RESEACH AND DEVELOPMENT OF EDUCATIONAL TECHNOLOGY, Assoc.Professor, 教育工学開発センター, 助教授 (60260535)
SHIMIZU Yasutaka  TOKYO INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF DECISION SCIENCE AND TECHNOLOGY, Professor, 大学院・社会理工学研究科, 教授 (10016561)
AOYAGI Takahiro  TOKYO INSTITUTE OF TECHNOLOGY, THE CENTER FOR RESEACH AND DEVELOPMENT OF EDUCATIONAL TECHNOLOGY, RESEACH ASSOCIATE, 教育工学開発センター, 助手 (10302944)
Project Period (FY) 1999 – 2000
KeywordsEDUCATIONAL RESOURCE / WEB INFORMATION / SINGULAR VALUE DECOMPOSITION / INDEXING / SELF-ORGANIZING MAP / DOCUMENT RETRIEVAL / DOCUMENT CLASSIFICATION
Research Abstract

The aim of this research is to efficient categorization of Internet information for school teaching. This thesis conducts categorizing websites to subjects-units, based on the analysis of term-frequencies in teaching textbooks.
A term-document matrix is generated by extracting terms from unit-documents with morphological analysis and summarizing terms' frequency. Each element of this matrix is the frequency of every term in every class unit. Methods to extract feature vectors of terms and documents from the adjusted matrix using SVD (Singular Value Decomposition), and to composite feature vectors of arbitrary documents from the terms' vectors are established. A suitable class-unit for the document is estimated based on the similarity of these feature vectors.
A test-collection including over 120 websites, each of which has an answer made by high-school teachers, was used for the evaluation. Parameters and variables in the procedures, such as, which word classes to use, how to adjust the … More term-document matrix, the dimension size of feature vectors, etc. were optimized based on this evaluation. Results were given as a list of unit-titles in descending order of similarity between the site's feature vector and the units' vectors.
To illustrate the structure of websites, SOM (Self Organizing Map), which is a kind of a non-supervised neural network learning, is used. As a result, the textbook concept space was visualized, and mapping every page that constructs an arbitrary site showed how the site-pages were distributed in this space. The validity of this map is also discussed and guidelines in reading these maps are shown.
In conclusion, a document classification specialized to educational information was done. Methods to extract feature vectors from descriptions in textbooks and to composite vectors of arbitrary documents are established. Matching class-units of the document is acquired by comparing similarities between the feature vectors. Visualization of categorizing results and website-structures are also done using SOM.It is shown that using these methods, categorization and visualization of websites or documents is feasible. Less

  • Research Products

    (9 results)

All Other

All Publications (9 results)

  • [Publications] 中山実,實松北斗,清水康敬: "学習指導要領に基づいた学習情報のキーワード検索のための用語辞書に関する検討"電子情報通信学会論文誌. Vol.J83-D-I. 225-233 (2000)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 大木理恵,中山実,清水康敬: "初級日本語学習者のための「助詞学習ドリル」の開発"日本教育工学会論文誌. Vol.23. 193-200 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 森本容介,中山実,清水康敬: "学習用Web情報の検索支援システムの開発"教育システム情報学会誌. Vol.17,No.3. 231-240 (2000)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 中山実,清水康敬: "学習指導要領に基づいた用語辞書を用いたWeb情報の分類に関する検討"電子情報通信学会技術報告. ET00-5. 31-38 (2000)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 森谷直哉,中山実,清水康敬: "教科書における用語出現傾向に基づく文書分類"教育工学関連学協会連合第6回全国大会. I2A19a7. 291-292 (2000)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 中山実,清水康敬: "用語辞書の自己組織化マップを用いた学習用Web情報の分類に関する検討"第2回自己組織化マップ(SOM)研究会講演論文集. 55-60 (2001)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Minoru NAKAYAMA, Hokuto SANEMATSU and Yasutaka SHIMIZU: "A Document Indexing and Retrieval Method Based on Teaching Guideline for Keyword Searching Educational Information"The Transaction of the Institute of Electronics, Information and Communication Engineers. Vol.J83-D-I, No.1. 225-233 (2000)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Rie OKI, Minoru NAKAYAMA, Yasutaka SHIMIZU: "The Effectiveness of a Computer Based Drill to Learn Japanese Particle Usage for Beginners"Japan Jounal of Educational Technology. Vol.23, No.4. 193-200 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Yousuke MORIMOTO, Minoru NAKAYAMA and Yasutaka SHIMIZU: "A development of information retrieval support system for learning material on the Web."Transactions of Japanese Society for Information and Systems in Education. Vol.17, No.3. 231-240 (2000)

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 2002-03-26  

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