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, it can solve problems such as the inability to meet the special needs of information mining for author profiles of academic papers, so as to improve the effect of semantic computing, expand research perspectives, and meet the effect of information mining.
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[0054] 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:
[0055] Step (1), select a specific subject area according to the needs, 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, equivalence, 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.
[0056] Step (2), extract author profile information from academic journal papers in specific fields, including author name, gender, y...
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