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A paper author name disambiguation method based on rule matching and machine learning

A machine learning and paper author technology, applied in the field of data processing, can solve problems such as the inability to apply large-scale data sets, and achieve the effect of improving the disambiguation effect and accuracy of the paper

Active Publication Date: 2019-04-23
PEKING UNIV
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Problems solved by technology

However, this method also needs to manually formulate rules in the initial stage, which cannot be applied to large-scale data sets

Method used

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  • A paper author name disambiguation method based on rule matching and machine learning
  • A paper author name disambiguation method based on rule matching and machine learning
  • A paper author name disambiguation method based on rule matching and machine learning

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Embodiment Construction

[0044] In order to make the technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] In order to solve the above-mentioned problems existing in the prior art, in the technical solution of the present invention, the candidate author will be determined first based on the artificially constructed name matching rules. author, title, abstract, keywords and publication name, etc.) to extract features, then select an appropriate machine learning algorithm for disambiguation, and determine the author of the paper to be processed.

[0046] figure 1 It is a flowchart of a method for disambiguating author names of papers based on rule matching and machine learning in an embodiment of the present invention. Such as figure 1 As shown, the author name disambiguation method based on rule matching and machine learning in the embodiment ...

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Abstract

The invention provides a paper author name disambiguation method based on rule matching and machine learning. The method comprises the following steps of preprocessing the paper information to be processed; matching the author names in the preprocessed paper information with a pre-constructed name matching rule to obtain a candidate author set; and determining authors of the to-be-processed paperaccording to the number of the candidate authors in the candidate author set. By applying the method, the paper disambiguation effect can be improved, and the author name disambiguation accuracy can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method for disambiguating author names of papers based on rule matching and machine learning. Background technique [0002] Universities and scientific research institutions need to count the paper information of the authors of their units, and archive the papers of the unit, so as to establish the literature database of the unit. However, the current method of sorting papers of employees in the unit is not perfect. Generally, only the title and signed author of the paper are recorded, but not archived by individual author. Therefore, it is difficult to evaluate the scientific research achievements and level of scientific researchers of the unit, and it is also difficult to provide search support for specific scholars' papers to the outside world. [0003] Author name disambiguation is a thorny problem in automatic archiving of papers. On the one hand, there...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35
Inventor 邓可君华凯邓昌明姜宁袁玲彭一明张治坤
Owner PEKING UNIV
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