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| Fusion of Organization Authority Files from Multiple Sources |
Fan Yunman,Chen Ying,Tang Xiaoli( ) |
| Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China |
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Abstract [Objective] This paper aims to improve the selection and evaluation of the organization authority files (OAF) and address the mapping issues between OAF and redundant relationships. [Methods] First, we examined the existing OAF and related studies. Then, we constructed a fusion model with six steps: data collection and analysis, metadata framework fusion, organization relationship fusion, alias fusion, OAF data model construction, and verification of fusion results. Finally, we examined the new model using data from Dimensions, Scopus, and Web of Science. [Results] Our new model’s F1 value reached 0.97 or above in the first, second, and third-level organizations, and the Dimensions made the most significant contribution. We constructed an OAF containing 5,128 organizations. [Limitations] The organization relationship only included the parent-child relations. Cross-reference relations and the choice of standard organization names need to be studied. We also need to verify the proposed model with more data. [Conclusions] The new model could effectively integrate OAF from multiple sources.
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Received: 19 May 2023
Published: 15 March 2024
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| Fund:Chinese Academy of Medical Sciences Medical and Health Science and Technology Innovation Project (Major Collaborative Innovation Project)(2021-I2M-1-033) |
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Corresponding Authors:
Tang Xiaoli，ORCID： 0000-0001-6946-3482，E-mail：tang.xiaoli@imicams.ac.cn。
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