A System for Visualizing the Relationships between Pages and Involved Factors across the Gap of Local Area and the Web

Daisuke Arakawa, Hiroki Nakayama, Ryo Onuma, Takashi Amano, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

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

Abstract

Web exploration with trial and error have widely been conducted in intellectual activities such as research work and PBL. In such exploration, users should positively review the results of own searches to discover new valuable pages. However, such review imposes the burden on users since viewpoint of the exploration is variable and the involved information increases more and more with progress of the work. Therefore, it is particularly important but difficult for users to detect the search direction while examining the relationships between obtained pages and unknown pages on the Web. In this research, we were aiming at developing a novel system for visualizing pages and the involved factors across the gap between local area and the Web. This paper mainly describes the overview of our support method along with some snapshots of the prototype.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
EditorsFernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages858-863
Number of pages6
ISBN (Electronic)9781538626528
DOIs
Publication statusPublished - 2018 Dec 4
Event2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States
Duration: 2017 Dec 142017 Dec 16

Other

Other2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
CountryUnited States
CityLas Vegas
Period17/12/1417/12/16

Keywords

  • Dynamic Visualization
  • Mediation of Local Area and the Webe
  • Relationships Between Web Pages
  • Search History
  • Web Exploration

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

Cite this

Arakawa, D., Nakayama, H., Onuma, R., Amano, T., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2018). A System for Visualizing the Relationships between Pages and Involved Factors across the Gap of Local Area and the Web. In F. G. Tinetti, Q-N. Tran, L. Deligiannidis, M. Q. Yang, M. Q. Yang, & H. R. Arabnia (Eds.), Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 (pp. 858-863). [8560908] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI.2017.149