2014
DOI: 10.4275/kslis.2014.48.2.353
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A Study on the Factors Influencing Semantic Relation in Building a Structured Glossary

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Cited by 2 publications
(2 citation statements)
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“…However, a different opinion stated that the word or document frequency method is not enough, and the characteristic features of the context should also be included. Kwon (2014) proved that the betweenness centrality, term frequency, effective size and complexity of a subject affect the number of a semantic relation. Wu and Zhao (2008) used the number of times cited as the attribute of the article to implement a weighted co-word model.…”
Section: Semantic Relatednessmentioning
confidence: 99%
“…However, a different opinion stated that the word or document frequency method is not enough, and the characteristic features of the context should also be included. Kwon (2014) proved that the betweenness centrality, term frequency, effective size and complexity of a subject affect the number of a semantic relation. Wu and Zhao (2008) used the number of times cited as the attribute of the article to implement a weighted co-word model.…”
Section: Semantic Relatednessmentioning
confidence: 99%
“…Generally, author keywords in academic papers can be considered as a key element to understand the contents of the paper. Researchers use the phrase author keyword interchangeably with other phrases, such as 'author-keyword', 'author-assigned keywords', 'keyword given by author'; it, however, is commonly defined as 'a term selected by the author of an academic paper and given to the paper in person' (Hartley and Kostoff 2003;Gil-Leiva and Alonso-Arroyo 2007;Strader 2009;Liu and Zhang 2010;Haisheng 2012;Weijing and Ying 2013;Kwon 2014;Lu and Kipp 2014). Because author keywords summarize and represent the topic of a research paper, researchers tend to carefully select terms that are consider the most essential and important in the paper.…”
Section: Introductionmentioning
confidence: 99%