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Knowledgezooclient: Constructing knowledge graph for android
Li, Li; Gao, Jun; Kong, Pingfan et al.
2020In The 3rd International Workshop on Advances in Mobile App Analysis
Peer reviewed
 

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Keywords :
Android; Knowledge graph
Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Li, Li;  Monash University > Faculty of Information Technology
Gao, Jun ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Kong, Pingfan ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
Wang, Haoyu;  Beijing University of Posts and Telecommunications > School of Computer Science
Huang, Mengyu;  Monash University
Li, Yuanfang;  Monash University > Faculty of Information Technology
Bissyande, Tegawendé François D Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
External co-authors :
yes
Language :
English
Title :
Knowledgezooclient: Constructing knowledge graph for android
Publication date :
September 2020
Event name :
The 3rd International Workshop on Advances in Mobile App Analysis
Event date :
from 21-09-2020 to 25-09-2020
Audience :
International
Journal title :
The 3rd International Workshop on Advances in Mobile App Analysis
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 22 January 2021

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