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EduVis: Visualization for Education Knowledge Graph Based on Web Data

Authors:

Kai Sun,

Yuhua Liu,

Zongchao Guo,

Changbo WangAuthors Info & Claims

VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction

Pages 138 - 139

https://doi.org/10.1145/2968220.2968227

Published: 24 September 2016 Publication History

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Abstract

How to clearly present the internal structure of knowledge graph is particularly important, however, the current visualization researches about it are rare. We construct education knowledge graph utilizing extracted entities and entity relations, and construct a visual analysis platform, EduVis. In EduVis, we design and implement a) a layout of events network based on topological structure to explore in details, b) a layout of event network based on timeline to explore time information, c) a click tracking path to record the history of users' clicks and help users backtrack.

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Cited By

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Li YLiang YYang RQiu JZhang CZhang X(2024)CourseKG: An Educational Knowledge Graph Based on Course Information for Precision TeachingApplied Sciences10.3390/app1407271014:7(2710)Online publication date: 23-Mar-2024
https://doi.org/10.3390/app14072710
Jia YWang XSin ZLi CNg PHuang XBaciu GCao JLi Q(2024)Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-MetaverseIEEE Transactions on Learning Technologies10.1109/TLT.2024.340663817(1834-1848)Online publication date: 2024
https://doi.org/10.1109/TLT.2024.3406638
Liu YMa YZhang YYu RZhang ZMeng YZhou Z(2024)Interactive optimization of relation extraction via knowledge graph representation learningJournal of Visualization10.1007/s12650-024-00955-527:2(197-213)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s12650-024-00955-5
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Index Terms

EduVis: Visualization for Education Knowledge Graph Based on Web Data
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Graphics recognition and interpretation
2. Computing methodologies
  1. Computer graphics

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Information

Published In

VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction

September 2016

173 pages

ISBN:9781450341493

DOI:10.1145/2968220

General Chair:
Kang Zhang,
Program Chair:
Andreas Kerren

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2016

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Poster
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VINCI '16

VINCI '16: The 9th International Symposium on Visual Information Communication and Interaction

September 24 - 26, 2016

TX, Dallas, USA

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VINCI '16 Paper Acceptance Rate 14 of 42 submissions, 33%;

Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

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Li YLiang YYang RQiu JZhang CZhang X(2024)CourseKG: An Educational Knowledge Graph Based on Course Information for Precision TeachingApplied Sciences10.3390/app1407271014:7(2710)Online publication date: 23-Mar-2024
https://doi.org/10.3390/app14072710
Jia YWang XSin ZLi CNg PHuang XBaciu GCao JLi Q(2024)Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-MetaverseIEEE Transactions on Learning Technologies10.1109/TLT.2024.340663817(1834-1848)Online publication date: 2024
https://doi.org/10.1109/TLT.2024.3406638
Liu YMa YZhang YYu RZhang ZMeng YZhou Z(2024)Interactive optimization of relation extraction via knowledge graph representation learningJournal of Visualization10.1007/s12650-024-00955-527:2(197-213)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s12650-024-00955-5
Telnov VKorovin YOdintsov K(2023)On the Issue of Optimum Machine Learning Methods for Filling and Updating Nuclear Knowledge GraphsLobachevskii Journal of Mathematics10.1134/S199508022301041944:1(227-236)Online publication date: 17-May-2023
https://doi.org/10.1134/S1995080223010419
Sin ZJia YWu AZhao ILi RNg PHuang XBaciu GCao JLi Q(2023)Toward an Edu-Metaverse of Knowledge: Immersive Exploration of University CoursesIEEE Transactions on Learning Technologies10.1109/TLT.2023.329081416:6(1096-1110)Online publication date: Dec-2023
https://doi.org/10.1109/TLT.2023.3290814
Linxen AEndel FOpel SBeecks C(2023)Knowledge Graphs for Competency-Based Education2023 IEEE International Conference on Big Data (BigData)10.1109/BigData59044.2023.10386727(2942-2945)Online publication date: 15-Dec-2023
https://doi.org/10.1109/BigData59044.2023.10386727
Fettach YGhogho MBenatallah B(2022)Knowledge Graphs in Education and Employability: A Survey on Applications and TechniquesIEEE Access10.1109/ACCESS.2022.319406310(80174-80183)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3194063
Dang FTang JPang KWang TLi SLi X(2021)Constructing an Educational Knowledge Graph with Concepts Linked to WikipediaJournal of Computer Science and Technology10.1007/s11390-020-0328-236:5(1200-1211)Online publication date: 30-Sep-2021
https://doi.org/10.1007/s11390-020-0328-2

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