[Purpose/Significance] The citing authors summarize and refine the value points of the cited documents’ achievements during the citation process. Discovering value points is helpful for a comprehensive and indepth understanding of the academic values of the cited documents. [Method/Process] This paper proposed an unsupervised multi-feature weighted method for recognizing the value points, and further discovered the value points that were not mentioned or not significantly mentioned in the cited documents. Experiments were conducted on 20 highly cited documents in Athar’s citation corpus. [Result/Conclusion] The experimental results show that the discovered value points that are not significantly mentioned in the cited documents but are highlighted in the citation can reveal the consensus and recognition of peers after the publication of cited documents, guide the cross-database retrieval of applied outputs, update and supplement the keywords of the cited documents, collect the acronyms of cited documents’ topics, which realize the dynamic indexing of cited documents, improve the prominence and retrieval performance of cited documents, and the ability of cross-database association. The value points discovered in citation content can be used as a new type of dynamically generated metadata named citation tags describing the value of cited documents, which provides the services of highlight, retrieval and recommendation and enriches citation content services. In the future, the feasibility and practicability of the discovery of the value points will be verify in more fields, languages, types and larger paper datasets.
Wei Xiaojun
,
Tan Zongying
,
Lü Qianqian
. Research on Discovering Value Points of Achievements Based on Citation Content[J]. Library and Information Service, 2023
, 67(6)
: 116
-124
.
DOI: 10.13266/j.issn.0252-3116.2023.06.012
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