[Purpose/Significance] From the perspective of knowledge management, this paper takes a large number of isolated and scattered government Web pages collected by selected topics as the knowledge source to construct the corresponding subject knowledge base, the aim is to help the public quickly and efficiently obtain the required key information and precise knowledge from the massive Web archiving resources.[Method/Process] Based on the technologies of Web crawlers of selected topics, natural language processing, domain ontology and knowledge reasoning, a method to construct" COVID-19 vaccine science popularization" knowledge base was proposed, which includes subject knowledge source, knowledge acquisition, knowledge representation, knowledge reasoning, and knowledge service. Firstly, design a Web crawler to obtain text data for thematic Web pages, and use a hybrid method to extract domain concept knowledge from it. Then, the domain ontology was constructed by defining ontology classes and hierarchical structure between classes, object attributes, data attributes, and adding instances, meanwhile, the knowledge rules were formalized, so as to complete the construction of subject knowledge base. Finally, Protégé software and its plug-in units, knowledge reasoning and other methods were used to realize the semantic knowledge retrieval, ontology visualization query and knowledge Q&A service of "COVID-19 vaccine science popularization" knowledge base.[Result/Conclusion] The research results show that the subject knowledge base has good reasoning and analysis functions, which can effectively realize the accurate acquisition of knowledge in COVID-19 vaccine science popularization. Its application has important practical significance for improving the effect of COVID-19 vaccine science popularization.
Huang Xinping
,
Pan Rongzhuang
,
Mao Yinghao
,
Zhu Siyuan
,
Xu Songqin
. Construction of Subject Knowledge Base of Government Website Pages Based on Domain Ontology:
Taking the Subject of “COVID-19 Vaccine Science Popularization” as an Example[J]. Library and Information Service, 2022
, 66(17)
: 35
-46
.
DOI: 10.13266/j.issn.0252-3116.2022.17.004
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