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A Conference Paper Exploring System Based on Citing Motivation and Topic
  • Yoon, Taerin ;
  • Han, Hyunwoo ;
  • Ha, Hyoji ;
  • Hong, Juwon ;
  • Lee, Kyungwon
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dc.contributor.authorYoon, Taerin-
dc.contributor.authorHan, Hyunwoo-
dc.contributor.authorHa, Hyoji-
dc.contributor.authorHong, Juwon-
dc.contributor.authorLee, Kyungwon-
dc.date.issued2020-06-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36603-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085178872&origin=inward-
dc.description.abstractUnderstanding and maintaining the intended meaning of original text used for citations is essential for unbiased and accurate scholarly work. To this end, this study aims to provide a visual system for exploring the citation relationships and motivations for citations within papers. For this purpose, papers from the IEEE Information Visualization Conference that introduce research on data visualization were collected, and based on the internal citation relationships, citation sentences were extracted and the text were analyzed. In addition, a visualization interface was provided to identify the citation relationships, citation pattern information, and citing motivation. Lastly, the pattern analysis of the citation relationships along with the citing motivation and topic was demonstrated through a case study. Our paper exploring system can confirm the purpose of specific papers being cited by other authors. Furthermore, the findings can help identify the characteristics of related studies based on the target papers.-
dc.description.sponsorshipThis work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2018S1A5B6075104).-
dc.language.isoeng-
dc.publisherIEEE Computer Society-
dc.subject.meshConference papers-
dc.subject.meshInformation visualization-
dc.subject.meshPattern analysis-
dc.subject.meshPattern information-
dc.subject.meshScholarly works-
dc.subject.meshVisual systems-
dc.titleA Conference Paper Exploring System Based on Citing Motivation and Topic-
dc.typeConference-
dc.citation.conferenceDate2020.4.14. ~ 2020.4.17.-
dc.citation.conferenceName13th IEEE Pacific Visualization Symposium, PacificVis 2020-
dc.citation.edition2020 IEEE Pacific Visualization Symposium, PacificVis 2020 - Proceedings-
dc.citation.endPage235-
dc.citation.startPage231-
dc.citation.titleIEEE Pacific Visualization Symposium-
dc.citation.volume2020-June-
dc.identifier.bibliographicCitationIEEE Pacific Visualization Symposium, Vol.2020-June, pp.231-235-
dc.identifier.doi10.1109/pacificvis48177.2020.1010-
dc.identifier.scopusid2-s2.0-85085178872-
dc.identifier.urlhttp://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=IEEE+Symposium+on+Pacific+Visualization+2013%2C+PacificVis+2013+-+Proceedings&x=21&y=13-
dc.subject.keywordcitation network-
dc.subject.keywordCiting motivation-
dc.subject.keywordconference paper exploring-
dc.subject.keyworddata visualization-
dc.subject.keywordGraphical user interfaces-
dc.subject.keywordInformation interfaces and presentation-
dc.subject.keywordtopic analysis-
dc.subject.keywordUser Interfaces-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Graphics and Computer-Aided Design-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaHardware and Architecture-
dc.subject.subareaSoftware-
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