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| 引用本文： | ????,?ξ?.???????????????????????????о?[J].图书情报工作,1957,64(4):95-102. |
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| 作者姓名： | ???? ?ξ? |
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| 作者单位： | 1. ????????????? ??? 200240;
2. ????????????????У ??? 200093;
3. ??????洫ý?о?? ??? 200093 |
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| 摘 要： |
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| 关 键 词： | ???????? ????? ?????? ?????? ???????? |
Research on Institution Name Normalization Based on Chinese Bibliographic Data |
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| Yang Zhao,Ren Juan.Research on Institution Name Normalization Based on Chinese Bibliographic Data[J].Library and Information Service,1957,64(4):95-102. |
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| Authors: | Yang Zhao Ren Juan |
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| Institution: | 1. Shanghai Jiao Tong University Library, Shanghai 200240;
2. Shanghai Publishing and Printing College, Shanghai 200093;
3. Shanghai Research Institute of Publishing and Media, Shanghai 200093 |
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| Abstract: | ??Purpose/significance] In the era of big data, institution name data presents new features such as mass, dynamic and diversity. Normalization of institution name can improve the reliability of data in scientific research management, subject evaluation and subject service under big data environment, and improve the quality and application effect of data retrieval based on institution name.Method/process] From the perspective of linguistics and model construction, this paper studied name normalization. This paper constructs a Framework Model for Normalization of Institutional Names Based on Co-occurrence Relations and Similarity. Firstly, it proposed a method of identifying the entity boundary of names. Secondly, it compiled a multi-level vocabulary and proposes a normalized method of names. Finally, the Chinese bibliographic data from 2008 to 2018 were selected for experiment.Result/conclusion] Experiments verify the validity of the model, which has some enlightening significance for the normalization of the names of other types of institutions. |
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| Keywords: | institution name normalization model construction big data entity boundary recognition |
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