MEIM:A Multi-Source Software Knowledge Entity Extraction Integration Model

作     者：Wuqian Lv Zhifang Liao Shengzong Liu Yan Zhang 

作者机构：School of Computer Science and EngineeringCentral South UniversityChangsha410075China School of Information Technology and ManagementHunan University of Finance and EconomicsChangsha410205China School of ComputingEngineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第66卷第1期

页      面：1027-1042页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Zhifang Liao:Ministry of Science and Technology:Key Research and Development Project(2018YFB003800),Hunan Provincial Key Laboratory of Finance&Economics Big Data Scienceand Technology(Hunan University of Finance and Economics)2017TP1025,HNNSF 2018JJ2535 Shengzong Liu:NSF61802120 

主　　题：Entity extraction software knowledge graph software data 

摘      要：Entity recognition and extraction are the foundations of knowledge graph *** data in the field of software engineering come from different platforms and communities,and have different *** paper divides multi-source software knowledge entities into unstructured data,semi-structured data and code *** these different types of data,Bi-directional Long Short-Term Memory(Bi-LSTM)with Conditional Random Field(CRF),template matching,and abstract syntax tree are used and integrated into a multi-source software knowledge entity extraction integration model(MEIM)to extract software *** model can be updated continuously based on user’s feedbacks to improve the *** deal with the shortage of entity annotation datasets,keyword extraction methods based on Term Frequency–Inverse Document Frequency(TF-IDF),TextRank,and K-Means are applied to annotate *** proposed MEIM model is applied to the Spring Boot framework,which demonstrates good *** extracted entities are used to construct a knowledge graph,which is applied to association retrieval and association visualization.