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KnowledgeZooClient: Constructing Knowledge Graph for Android

  • Li Li
  • , Jun Gao
  • , Pingfan Kong
  • , Haoyu Wang
  • , Mengyu Huang
  • , Yuan Fang Li
  • , Tegawende F. Bissyande
  • Monash University
  • University of Luxembourg
  • Beijing University of Posts and Telecommunications
  • Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we describe the design and implementation of a reusable tool named KnowledgeZooClient targeting the construction, as a crowd-sourced effort, of a knowledge graph for Android apps. KnowledgeZooClient is made up of two modules: (1) the Metadata Extraction Module (MEM), which aims at extracting metadata from Android apps and (2) the Metadata Integration Module (MIM) for importing and integrating extracted metadata into a graph database the usefulness of KnowledgeZooClient is demonstrated via an exclusive knowledge graph called KnowledgeZoo, which contains information on over 500,000 apps already and still keeps growing. Interested users can already benefit from KnowledgeZoo by writing advanced search queries so as to collect targeted app samples.

Original languageEnglish
Title of host publicationProceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-78
Number of pages6
ISBN (Electronic)9781450381284
DOIs
StatePublished - Sep 2020
Externally publishedYes
Event35th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2020 - Melbourne, Australia
Duration: 22 Sep 202025 Sep 2020

Publication series

NameProceedings - 2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2020

Conference

Conference35th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2020
Country/TerritoryAustralia
CityMelbourne
Period22/09/2025/09/20

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