Knowledge navigation on visualizing complementary documents

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

It is an up-to-date challenge to get answers for novel questions which nobody has ever considered. Such a question is too rare to be satisfied with a past single document. In this paper, we propose a new framework of knowledge navigation by graphically providing with multiple documents relevant to a user’s question. Our implemented system named MACLOD generates several navigational plans, each forming a complementary document-set, not a single document, for navigating a user to understanding a novel question. The obtained plans are mapped into a 2-dimensional interface where documents in each obtained document-set are connected with links in order to support user selecting a plan smoothly. In experiments, the method obtained satisfactory answers to user’s unique questions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages258-270
Number of pages13
Volume2226
ISBN (Print)9783540429562
Publication statusPublished - 2001
Externally publishedYes
Event4th International Conference on Discovery Science, DS 2001 - Washington, United States
Duration: 2001 Nov 252001 Nov 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2226
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Discovery Science, DS 2001
CountryUnited States
CityWashington
Period01/11/2501/11/28

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Matsumura, N., Ohsawa, Y., & Ishizuka, M. (2001). Knowledge navigation on visualizing complementary documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2226, pp. 258-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2226). Springer Verlag.