融合多元知识关联的文学类古籍问答系统设计与优化研究

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分类号 G255.1DOI10.16810/j.cnki.1672-514X.2025.03.008

Research on Design and Optimization of Question Answering System of Ancient Literature Books Based on Multi-knowledge Association

WangKeping，Fan Yanshuo，Xu Mingzhu， Zhou Jingyi

AbstractUnder the background of the digital ageof ancient books，this paper explores how to construct knowledge graph basedonmultiplerelation expressons，aiming atthe problem of entityname of ancient literature books.On the basis of sorting out relevant studies on ancient books knowledge service and knowledge question answering system， based on natural language technology and module matching，this paper proposes the architecture of ancient literature books question answering system integrating multiple knowledge associations.Optimize the existing extraction model and the framework for building a question-answering system based on knowledge graphs，the humanistic knowledge was mined in multipledimensions，thedata was stored in the multi-relational expresson mode，Liaozhai Zhiyi was selected for empirical study.The experimentalresults show thatthe optimized questionanswering system of ancient literaturebooksperformswellinknowledgereasoningandintellgentinteraction，theabilityof intentionrecognitioand knowledgereasoning isfctivelyimproved，basicallymeet thedemandforinteraction，andbroaden theapplication service dimensionof knowledgegraph of ancientliterature books.Itlaysafoundation forthe digital inheritance and intelligent construction of ancient literature books in the future.

KeywordsAncientliterature books.Knowledge organization.Natural language processing. Question-answering system.

0 引言

以史为鉴，可以知兴替，古籍是我国社会发展中形成的宝贵精神财富，是文化自信的重要源泉[1。（剩余13463字）