Abstract：Construction of higher education knowledge map in university libraries based on MOOC Purpose The purpose of this study was to establish a massive online open courseMOOC-based map of higher education knowledge and apply it to university librariesIt hoped to provide more targeted and personalized learning services for every learnerDesignmethodologyapproach In this studyMOOC and university library information services were outlinedthe development status of MOOC at home and abroad and the development of university library information services were introducedand the necessity and significance of MOOC in developing information services in university libraries were analyzedWhat is morethe knowledge map of university libraries was exploredThe four modules include the construction of data setsthe identification of related entities from plain textthe extraction of entity relationships and the practical application of knowledge mapsFor the logical relationship of the coursea combination of knowledge base and machine learning was adoptedIn the knowledge map application modulethe knowledge map was visualizedAiming at the generation of personalized learning schemea prior data set was constructed by means of the knowledge baseThe original problem was considered as a multi-classification problemK-nearest neighbor classifier divided all courses into four academic years to obtain all coursesAccording to the course stagethe personalized learning scheme of some majors in higher education was obtainedFindings The experiment showed that it was feasible to apply the higher education knowledge map based on MOOC to university librariesIn additionit was effective to divide the course into four stages by classifierIn this waythe specific professional training program can be obtainedthe information service of the university library can be improvedand the accuracy and richness of the entire learning program can be increasedResearch limitationsimplications Due to the limitations of conditionstime and other aspectsthere were not many opportunities to visit the field librarywhich led to limited level and imperfect researchThere were many proper nouns and professional terms in foreign referencesbut my English translation ability was limitedThe relevant investigation on foreign studies may not be detailed and comprehensive enoughand the analysis and induction of influencing factors of university library information service may not be rigorous and concise enoughPractical implications As the base of university information disseminationthe university library is the source of knowledgeAt the same timeit is also the temple of studentsindependent learning and the media of mainstream culture and improving its own information service level is also in line with the trend of The TimesUnder this backgroundthis research studied the influence of MOOC on university library information service and focused on the challenges and opportunities faced by university library information service in the MOOC environmentso as to continuously improve its cultural serviceability and better serve teachers and studentsOriginalityvalue Since the birth of MOOCthey have exerted great influence and enlightenment on universities and relevant educational institutions within a few yearsEuropean and American universities take an active part in the construction of the MOOC platform and explore how to make better use of the library to build MOOC resources in practiceIt is also a hot topic for university libraries to participate in the construction of MOOC information resourcesThereforethe study of this topic has both theoretical and practical significanceLibrary AutomationEnhance the librarys information services through MOOCs higher education knowledge mapsConsulting ServiceProvides more targeted and personalized learning services for each learnerCollection classificationDivide the course into four stages through a classifierthereby improving the accuracy and richness of information servicesThe combination of knowledge base and machine learning is used to establish the logical relationship of the courseIn the knowledge map application modulethe use of machine learning technology is regarded as a multi-classification problemAll courses are divided into four academic year through the recent neighboring classifiersso as to obtain personalized learning solutions for certain higher education majors