Method and system for excavating information of academic journal paper authors

A technology for academic journals and paper authors, applied in the field of knowledge engineering, can solve problems such as the inability to meet the special needs of information mining for the introduction of academic paper authors, and achieve the effect of improving the semantic computing effect

Active Publication Date: 2012-07-25
TSINGHUA UNIV +1
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0009] Although the above methods have their own advantages and disadvantages, and each has successful application cases in different situations, they cannot mee

Method used

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  • Method and system for excavating information of academic journal paper authors
  • Method and system for excavating information of academic journal paper authors
  • Method and system for excavating information of academic journal paper authors

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Embodiment Construction

[0059] The present invention proposes an information mining method for author profiles of academic periodical papers such as figure 2 As shown, the method includes the following steps:

[0060] Step (1), select a specific subject area according to the requirements, and use OWL technology to establish a domain ontology. When constructing a domain ontology, it is necessary to consider the terms corresponding to the research direction in this field and their interrelationships. The formal representation of domain ontology must indicate the inheritance, equality, cross-relationship between classes (or attributes), the belonging relationship between attributes and classes, the corresponding relationship between classes and instances, the transfer between attributes, symmetry, functions and inversions. Function relation, class set operation relation.

[0061] In step (2), author profile information is extracted from academic journal papers in a specific field, including author na...

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Abstract

The invention discloses a method and a system for excavating information of academic journal paper authors. The method comprises the steps: firstly selecting an objective subject field and establishing an OWL (Web Ontology Language) field ontology; secondly extracting author information from an academic journal paper of the objective subject field; thirdly performing the format conversion to the extracted author information, storing the information into an author information bank and calculating out the unique author ID (Identity); finally obtaining an incidence matrix of an author and an academic paper, an academic developing route chart of the author, a cooperator network diagram of the author, an academic cooperation distances among authors, a hot spot research direction map and an academic reputation map of the author by above information. According to the invention, the data source of the author information excavating method is changed; the OWL filed ontology technology is introduced into calculation processes of the academic cooperation distances among authors and the hot spot research direction; and the semantic calculation effect is improved.

Description

technical field [0001] The invention relates to the field of knowledge engineering, in particular to a method and system for mining author information of academic periodical papers. Background technique [0002] The author information of academic journal papers refers to the basic information such as the author’s name, gender, year of birth, place of origin, professional title and research direction given in the academic papers officially published in the journal, which generally appear in the footnotes on the first page of the paper or the endnotes at the end of the paper location, such as figure 1 shown. Compared with books, author information in academic journal papers has the characteristics of short content, fixed format, and standardized wording. [0003] The analysis of the quantitative relationship between the author and the literature refers to an information analysis method aimed at revealing the relationship between the author and the quantity of the literature ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 朝乐门张勇邢春晓孙一钢朱先忠
Owner TSINGHUA UNIV
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