面向智能问答的高校档案馆知识服务系统开发策略

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Abstract:This study,grounded in developing an inteligent Q&A system for university archive knowledge services, employsliteratureanalysis,inferentialreasoning,andcase studymethods.It examinesvarious analyticalperspectivesobject,ontology,subject,and environment-to define the system'sfunctional roles in text mining, knowledge representation,semantic matching,and deep learing.The study further explores inteligent Q&A technology for identifying,representing,organizing,and iteratingknowledge fromnaturallanguage text tailoredto users'needs. Onthis basis,itproposesstrategiesforconstructingknowledgebase,recognitionmodel,andsemanticenvironment, relying on information fusiontechniques.Thisstudyseeks toadvance archivalknowledgeservices frompassiveanswer toautomaticresponse,minimizing the emotional burdenof archivistswhilepromoting interdisciplinaryintegrationof archival science,computerscience,and neurolinguistics.Ultimately,thisresearch marksanew direction forinteligent transformation in archive knowledge services.

Keywords:Inteligentquestionanswering; Universityarchives; Knowledge services; Knowledge Unit; Virtualarchivist; Intelligent interaction; Data fusion; Natural language processing

《“十四五”全国档案事业发展规划》要求加快实现档案工作数字化、智慧化转型升级，满足新兴信息技术普遍应用背景下我国档案工作内容、对象和环境变化的新要求，改变档案工作理念、方法和模式。（剩余13431字）