Development of a Generator for the Research View: Research Information Relation Visualization System

Takuma Oura, Koichi Anada, Takeo Yaku, Yasuhiko Morimoto, Shoichi Nakamura, Youzou Miyadera

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

Abstract

In this paper, our aim has been to develop a research information relation visualization system (ResearchView) that can be applied to replace attribute graph grammar, which is used as the semantic rule of the Research Information Relation Graph (RIRG). This paper describes a text notation method of the attribute graph grammar which can be interpreted by computer and the development of a source-code generator for automatic generation of a ResearchView upon its input.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
PublisherAssociation for Computing Machinery
Pages55-59
Number of pages5
VolumePart F133875
ISBN (Electronic)9781450353922
DOIs
Publication statusPublished - 2017 Dec 5
Event2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017 - Jakarta, Indonesia
Duration: 2017 Dec 52017 Dec 7

Other

Other2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
CountryIndonesia
CityJakarta
Period17/12/517/12/7

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Keywords

  • Information sharing
  • Information visualization
  • Research information
  • Research information relation graph
  • Source-code generator

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Oura, T., Anada, K., Yaku, T., Morimoto, Y., Nakamura, S., & Miyadera, Y. (2017). Development of a Generator for the Research View: Research Information Relation Visualization System. In Proceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017 (Vol. Part F133875, pp. 55-59). Association for Computing Machinery. https://doi.org/10.1145/3168390.3168433