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| Research on Author Name Collaborative Disambiguation Based on Meta-path |
| Yang Zhao |
| Shanghai Jiao Tong University Library, Shanghai 200240 |
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Abstract In the era of big data, facing the data governance of literature networks and accurately awarding academic achievements requires approaching the dual challenges of the diversity and ambiguity in author names. This paper proposes a meta-path method of author name disambiguation from a heterogeneous co-occurrence network perspective to solve the collaborative disambiguation problem, which arises from the coexistence of aliases, renaming, and the synonymous translations of author and institution names. The author name disambiguation problem is transformed into a heterogeneous network mining problem using the collaborative strategy of author and institution names. The author name disambiguation framework is constructed based on the meta-path. The heterogeneous author co-occurrence network model was constructed by combining the semantic and spatial association between objects. The variation aggregation, name disambiguation, and institution normalization methods based on the meta-path were proposed to calculate the similarity and perplexity of author and institution names. The effectiveness of this method was experimentally verified using the data set of English papers under the same institution and the data set of Chinese papers under the same name as examples.
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Received: 13 August 2020
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