peer reviewedIn 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 t...
Due to the rapid development of technology and the widespread usage of smartphones, the number of mo...
Sample study data set and derived metadata and evaluation files for the research titled 'Mobile Feat...
Intelligent systems designed using machine learning algorithms require a large number of labeled dat...
peer reviewedIn this work, we describe the design and implementation of a reusable tool named Knowle...
Usage of mobile applications has become a part of our lives today, since every day we use our smartp...
Knowledge bases are centralized repositories used for developing knowledge-oriented information syst...
Building trustworthy knowledge graphs for cyber–physical social systems (CPSS) is a challenge. In pa...
Research software is a key asset for understanding, reusing and reproducing results in computational...
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open ...
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open ...
Knowledge Graph (KG) is an emerging topic of research. The promise of KGs is to be able to turn data...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough a...
Due to the rapid development of technology and the widespread usage of smartphones, the number of mo...
Sample study data set and derived metadata and evaluation files for the research titled 'Mobile Feat...
Intelligent systems designed using machine learning algorithms require a large number of labeled dat...
peer reviewedIn this work, we describe the design and implementation of a reusable tool named Knowle...
Usage of mobile applications has become a part of our lives today, since every day we use our smartp...
Knowledge bases are centralized repositories used for developing knowledge-oriented information syst...
Building trustworthy knowledge graphs for cyber–physical social systems (CPSS) is a challenge. In pa...
Research software is a key asset for understanding, reusing and reproducing results in computational...
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open ...
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open ...
Knowledge Graph (KG) is an emerging topic of research. The promise of KGs is to be able to turn data...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough a...
Due to the rapid development of technology and the widespread usage of smartphones, the number of mo...
Sample study data set and derived metadata and evaluation files for the research titled 'Mobile Feat...
Intelligent systems designed using machine learning algorithms require a large number of labeled dat...