Abstract

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.

Highlights

  • In today’s era of big data, the semantic content of the constructed artificial knowledge base is static and limited, and it is difficult to meet the needs of largescale network text information retrieval

  • This paper proposes a method to construct conceptual semantic knowledge base of software engineering domain based on Wikipedia

  • 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

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Summary

Introduction

In today’s era of big data, the semantic content of the constructed artificial knowledge base is static and limited, and it is difficult to meet the needs of largescale network text information retrieval. The Wikipedia knowledge base which provides a favorable basic data resource for the construction of the semantic knowledge base that is faced with retrieving is described in detail, comprehensive and reliable. With the large-scale open-network courses MOOC (massive open online courses) as the representative of the rise of the network-based teaching model, constructing a domain-oriented semantic knowledge base for easy updating of content MOOC system is important to semantic retrieval of learning resources. The software engineering domain concept knowledge map is constructed This method can support MOOC system of learning resources according to the semantic retrieval, and can provide unsupervised topic model to prior knowledge instruction. The constructed semantic knowledge base is oriented to the software engineering domain, the method is not limited to the field, and it is suitable for other fields

Related Work
Construction Conceptual Semantic Knowledge Base
Concept Semantic Knowledge Base Construction Process
Semantic Similarity Computation between Concepts
Analysis of Experimental Results
Conclusions
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