郭红梅, 曾建勋. 基于本体的科研机构标签体系研究[J]. 情报学报, 2022, 41(6): 574-583.
Guo Hongmei, Zeng Jianxun. Profiling Attribution on the Label of Scientific Research Institutions Based on the Ontology Model. 情报学报, 2022, 41(6): 574-583.
1 Vizenor L T. Corporate being: a study in realist ontology[D]. Buffalo: The State University of New York at Buffalo, 2006. 2 Hodgson G M. What are institutions?[J]. Journal of Economic Issues, 2006, 40(1): 1-25. 3 Scott W R. Institutional carriers: reviewing modes of transporting ideas over time and space and considering their consequences[J]. Industrial and Corporate Change, 2003, 12(4): 879-894. 4 Searle J R. What is an institution?[J]. Journal of Institutional Economics, 2005, 1(1): 1-22. 5 Johannesson P, Bergholtz M, Eriksson O. Institution aware conceptual modeling[C/OL]// Proceedings of the ER Forum 2017 and the ER 2017 Demo Track, 2017: 263-270. (2017-11-05) [2021-03-25]. http://ceur-ws.org/Vol-1979/paper-15.pdf. 6 Cooper A. The inmates are running the asylum: why high tech products drive us crazy and how to restore the sanity[M]. 2nd Edition. Sams Publishing, 2004: 157-189. 7 Eke C I, Norman A A, Shuib L, et al. A survey of user profiling: state-of-the-art, challenges, and solutions[J]. IEEE Access, 2019, 7: 144907-144924. 8 曾建勋. 精准服务需要用户画像[J]. 数字图书馆论坛, 2017(12): 1. 9 刘海鸥, 孙晶晶, 苏妍嫄, 等. 国内外用户画像研究综述[J]. 情报理论与实践, 2018, 41(11): 155-160. 10 Liang S S, Zhang X L, Ren Z C, et al. Dynamic embeddings for user profiling in Twitter[C]// Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York: ACM Press, 2018: 1764-1773. 11 陈泽宇, 黄勃. 改进词向量模型的用户画像研究[J]. 计算机工程与应用, 2020, 56(1): 180-184. 12 Gu X T, Yang H, Tang J, et al. Profiling Web users using big data[J]. Social Network Analysis and Mining, 2018, 8: 24. 13 University ontology (draft)[EB/OL]. (2000-04-05) [2021-03-25]. http://www.cs.umd.edu/projects/plus/SHOE/onts/univ1.0.html. 14 Chakhmoune R, Behja H, Marzak A. Building corporate memories in collaborative way using ontologies: case study of a SSII[C]// Proceedings of the 2011 3rd International Conference on Next Generation Networks and Services. IEEE, 2011: 23-28. 15 Passerini Glazel L. Institutional ontology as an ontology of types[J]. Phenomenology and Mind, 2016(3): 78-91. 16 Eriksson O, Johannesson P, Bergholtz M. Institutional ontology for conceptual modeling[J]. Journal of Information Technology, 2018, 33: 105-123. 17 An organization ontology[EB/OL]. (2010-10-08) [2021-03-25]. http://epimorphics.com/public/vocabulary/org.html. 18 The organization ontology[EB/OL]. (2014-01-16) [2021-03-25]. https://www.w3.org/TR/vocab-org/. 19 叶壮壮. 基于Wikidata的机构本体构建研究[D]. 太原: 山西大学, 2019: 11-16. 20 金家琴, 夏翠娟. 数字人文数据基础设施建设中机构本体的构建: 研究和应用[J]. 图书馆论坛, 2020, 40(4): 30-39. 21 胡雪环. 科研机构本体的构建方式研究[D]. 北京: 中国科学技术信息研究所, 2016: 13-35. 22 曾建勋, 贾君枝. 机构名称规范数据的语义模型构建[J]. 大学图书馆学报, 2019, 37(1): 42-47. 23 Asumeng M A, Osae-Larbi J A. Organization development models: a critical review and implications for creating learning organizations[J]. European Journal of Training and Development Studies, 2015, 2(3): 29-43. 24 孟琳. 多源信息融合的机构画像的方法研究[D]. 北京: 北京邮电大学, 2018: 28-46. 25 Taneja G. How are higher education institutions defining their meta-description tags?[J]. International Journal of Educational Management, 2018, 32(7): 1293-1306. 26 Galan M D, Lawley M, Clements M. Social media’s use in postgraduate students’ decision-making journey: an exploratory study[J]. Journal of Marketing for Higher Education, 2015, 25(2): 287-312. 27 Kettunen J. Stakeholder relationships in higher education[J]. Tertiary Education and Management, 2015, 21(1): 56-65. 28 曾建勋. 中国高被引分析报告2019[M]. 北京: 科学技术文献出版社, 2021.
