Difference between revisions of "Automatic Construction Method for Domain Concepts based on Wikipedia Semantic Knowledge Base"
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| + | | title = Automatic Construction Method for Domain Concepts based on Wikipedia Semantic Knowledge Base | ||
| + | | date = 2017 | ||
| + | | authors = [[Qiaoyan Zhang]]<br />[[Min Lin]]<br />[[Shujun Zhang]] | ||
| + | | doi = 10.4236/jcc.2017.51006 | ||
| + | | link = http://file.scirp.org/Html/6-1730523_73570.htm | ||
| + | }} | ||
'''Automatic Construction Method for Domain Concepts based on Wikipedia Semantic Knowledge Base''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Qiaoyan Zhang]], [[Min Lin]] and [[Shujun Zhang]]. | '''Automatic Construction Method for Domain Concepts based on Wikipedia Semantic Knowledge Base''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Qiaoyan Zhang]], [[Min Lin]] and [[Shujun Zhang]]. | ||
== Overview == | == Overview == | ||
This paper proposes a method to construct conceptual [[semantic knowledge]] base of software engineering domain based on [[Wikipedia]]. First, it takes the concept of SWEBOK V3 as the standard to extract the interpretation of the concept from the Wikipedia, and extracts the keywords as the concept of semantic; Second, through the conceptual semantic knowledge base, it is formed by the relationship between the hierarchical relationship concept and the other text interpretation concept in the Wikipedia. Finally, the [[semantic similarity]] between concepts is calculated by the random walk algorithm for the construction of the conceptual semantic knowledge base. The semantic similarity of knowledge base constructed by this method can reach more than 84%, and the effectiveness of the proposed method is verified. | This paper proposes a method to construct conceptual [[semantic knowledge]] base of software engineering domain based on [[Wikipedia]]. First, it takes the concept of SWEBOK V3 as the standard to extract the interpretation of the concept from the Wikipedia, and extracts the keywords as the concept of semantic; Second, through the conceptual semantic knowledge base, it is formed by the relationship between the hierarchical relationship concept and the other text interpretation concept in the Wikipedia. Finally, the [[semantic similarity]] between concepts is calculated by the random walk algorithm for the construction of the conceptual semantic knowledge base. The semantic similarity of knowledge base constructed by this method can reach more than 84%, and the effectiveness of the proposed method is verified. | ||
Revision as of 08:52, 1 October 2019
Authors | Qiaoyan Zhang Min Lin Shujun Zhang |
|---|---|
Publication date | 2017 |
DOI | 10.4236/jcc.2017.51006 |
Links | Original |
Automatic Construction Method for Domain Concepts based on Wikipedia Semantic Knowledge Base - scientific work related to Wikipedia quality published in 2017, written by Qiaoyan Zhang, Min Lin and Shujun Zhang.
Overview
This paper proposes a method to construct conceptual semantic knowledge base of software engineering domain based on Wikipedia. First, it takes the concept of SWEBOK V3 as the standard to extract the interpretation of the concept from the Wikipedia, and extracts the keywords as the concept of semantic; Second, through the conceptual semantic knowledge base, it is formed by the relationship between the hierarchical relationship concept and the other text interpretation concept in the Wikipedia. Finally, the semantic similarity between concepts is calculated by the random walk algorithm for the construction of the conceptual semantic knowledge base. The semantic similarity of knowledge base constructed by this method can reach more than 84%, and the effectiveness of the proposed method is verified.
