HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration

Xuliang Zhu, Xin Huang*, Jinbin Huang, Byron Koon Kau Choi, Jianliang Xu

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

3 Citations (Scopus)


Hierarchical directed acyclic graph (HDAG) is an essential graph model to represent terminology relationships in a hierarchy, such as Disease Ontology, Gene Ontology, and Wikipedia. However, due to massive terminologies and complex structures in a HDAG, an end user might feel difficult to explore and summarize the whole graph, which is practically useful but less studied in the literature. In this demo, we develop an interactive system of HDAG-Explorer to help users summarize HDAG with highly important and diverse vertices. Our HDAG-Explorer system exhibits several useful features including summarized visualization, interactive exploration, and structural statistics report. All these features facilitate in-depth understanding of the HDAG data. We showcase the usability of the HDAG-Explorer through two real-world applications of summarized topic recommendation and visual data exploration.

Original languageEnglish
Pages (from-to)2973-2976
Number of pages4
JournalProceedings of the VLDB Endowment
Issue number12
Publication statusPublished - Aug 2020

Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Computer Science(all)


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