A Novel Method for Resolving and Completing Authors' Country Affiliation Data in Bibliographic Records

作     者：Ba Xuan Nguyen Jesse David Dinneen Markus Luczak-Roesch 

作者机构：School of Information ManagementVictoria University of WellingtonWellingtonNew Zealand Posts and Telecommunications Institute of TechnologyHo Chi Minh CityVietnam Berlin School of Library and Information ScienceHumboldt-Universitat zu BerlinBerlinGermany Te Punaha Matatini-The New Zealand Centre of Research Excellence for Complex Systems and NetworksNew Zealand 

出 版 物：《Journal of Data and Information Science》 (数据与情报科学学报（英文版）)

年 卷 期：2020年第5卷第3期

页      面：97-115页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 120502[管理学-情报学] 

主　　题：International research collaboration measurement Bibliographic data Country identification Knowledge graphs Wikidata Open data 

摘      要：Purpose: Our work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration(IRC).Design/methodology/approch: We propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data ***: Our evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring *** limitations: Though our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over *** implications: The new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge ***: This is the first attempt to enrich bibliographic data using a peer-produced, Webbased knowledge graph like Wikidata.