@Article{jbd.2020.010000,
AUTHOR = {Chengrong Yang, Rongjing Bu, Yan Kang, Yachuan Zhang, Hao Li, Tao Li, Junfeng Li},
TITLE = {An Importance Assessment Model of Open-Source Community Java Projects  Based on Domain Knowledge Graph},
JOURNAL = {Journal on Big Data},
VOLUME = {2},
YEAR = {2020},
NUMBER = {4},
PAGES = {135--144},
URL = {http://www.techscience.com/jbd/v2n4/41031},
ISSN = {2579-0056},
ABSTRACT = {With the rise of open-source software, the social development paradigm 
occupies an indispensable position in the current software development process. 
This paper puts forward a variant of the PageRank algorithm to build the 
importance assessment model, which provides quantifiable importance assessment 
metrics for new Java projects based on Java open-source projects or components. 
The critical point of the model is to use crawlers to obtain relevant information 
about Java open-source projects in the GitHub open-source community to build a 
domain knowledge graph. According to the three dimensions of the Java opensource project’s project influence, project activity and project popularity, the 
project is measured. A modified PageRank algorithm is proposed to construct the 
importance evaluation model. Thereby providing quantifiable importance 
evaluation indicators for new Java projects based on or components of Java opensource projects. This article evaluates the importance of 4512 Java open-source 
projects obtained on GitHub and has a good effect.},
DOI = {10.32604/jbd.2020.010000}
}