KnowledgeZooClient: constructing knowledge graph for Android

Li Li, Jun Gao, Pingfan Kong, Haoyu Wang, Mengyu Huang, Yuan Fang Li, Tegawende F. Bissyande

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

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
EditorsClaire Le Goues, David Lo
Place of PublicationNew York NY USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages73-78
Number of pages6
ISBN (Electronic)9781450381284
DOIs
Publication statusPublished - 2020
EventInternational Workshop on Advances in Mobile App
Analysis 2020
- Melbourne , Australia
Duration: 21 Sep 202121 Sep 2021
Conference number: 3rd
https://a-mobile.github.io/ (Website)
https://dl.acm.org/doi/proceedings/10.1145/3417113 (Proceedings)

Conference

ConferenceInternational Workshop on Advances in Mobile App
Analysis 2020
Abbreviated titleA-Mobile 2020
Country/TerritoryAustralia
CityMelbourne
Period21/09/2121/09/21
Internet address

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