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| Institution Name Normalization Based on Author and Research Theme |
| Hu Qian, Wu Qian, Dong Hanyu, Li Jing |
| School of Information Management, Central China Normal University, Wuhan 430079 |
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Abstract The evolution of scientific research institution names caused by the development and changes of institutions has seriously affected the quality and effect of knowledge services based on institution names, such as in information retrieval and research evaluation. This study developed a method for institution name normalization based on the author and research theme so as to eliminate heterogeneity between the names of scientific research institutions and optimize information retrieval and knowledge discovery services based on institution names. By conducting a performance analysis of the name evolution of scientific research institutions in the signature of academic papers, this study constructed a recognition model of the name evolution relationship of scientific research institutions based on the author and research theme and identified the renaming, splitting, merging, and restructuring relationships between the names of scientific research institutions. The model was then verified using small-scale academic paper data. The experimental results indicate that the proposed method achieves a better accuracy and recall rate in identifying the name evolution relationship of primary and secondary institutions and can also identify name evolution relationships between unpopular institutions.
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Received: 29 December 2022
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