Abstract：Mapping of the selected literature on robotic technology applications in libraries based on Scopus databasea subjective computational review Abstract PurposeThe purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart libraryA novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich knowledge and services convenientlyDesignmethodologyapproachFirstlocal and global features of images are extractedand the visual dictionary is generated by the k-means clusteringSecondthe mobile visual search model based on the bag-ofwordsBOWand multiple semantic associations is constructedThirdthe mobile visual search service system of the smart library is designed in the cloud environmentFurthermoreDunhuang mural images are collected to verify this modelFindingsThe findings reveal that the BOW_SIFT_HSV_MSA model has better search performance for Dunhuang mural images when the scale-invariant feature transformSIFTand the huesaturation and valueHSVare used to extract local and global features of the imagesCompared with different methodsthis model is the most effective way to search images with the semantic association in the topictime and space dimensionsResearch limitationsimplicationsDunhuang mural image set is a part of the vast resources stored in the smart libraryand the fine-grained semantic labels could be applied to meet diverse search needsOriginalityvalueThe mobile visual search service system is constructed to provide users with Dunhuang cultural services in the smart libraryA novel mobile visual search model based on BOW and multiple semantic associations is proposedThis study can also provide references for the protection and utilization of other cultural heritagesRetrieval and IndexingThis is because the core function of the mobile visual search service system is that users can search and obtain relevant information about Dunhuang cultural heritageinvolving image retrieval and indexing functionsThis study focuses on the establishment of a smart library mobile visual search service system specifically to protect the Dunhuang cultural heritageIt extracts the local and global characteristics of the imageand uses the K-MEANS cluster to generate visual dictionaryIn additionthe model is established based on the bOWBOWand multi-semantic associationModel recognition involves extracting specific features from the Dunhuang mural image and using BOW and semantic associations to achieve image search