Chunyun Chen
ABSTRACT
This paper introduces a crowdsourcing-based method for expanding knowledge graphs, aiming to address the high production cost problem of building high-quality domain knowledge graphs. The method includes stages such as task assignment, task division, and incentive mechanisms, which leverage the power of crowdsourcing workers to obtain high-quality domain knowledge content and expand and refine the structure and content of knowledge graphs. Additionally, to address the problem that traditional computer teaching methods cannot meet students' learning needs, this paper also develops a computer domain knowledge service platform that is easy to read and understand, has multiple types of knowledge expression, and is interactive. The platform presents the structure and content of knowledge graphs in a visual and interactive way, providing a new way of learning computer knowledge for students and relevant personnel. It not only helps students and relevant personnel better understand computer knowledge but also expands the structure and content of knowledge graphs, providing support for the application and promotion of knowledge graphs. The method and platform presented in this paper have practical value and promotion significance and are expected to play an important role in the expansion and teaching of computer domain knowledge graphs.
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Index Terms
- Design and Development of a Knowledge Service Platform in the Field of Computer Science: Knowledge Service Platform in Computer Science: Design and Development
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