知识图谱加持的智慧图书馆信息推荐架构体系研究

Research on Architecture System of Information Recommendation of Smart Library with Knowledge Graph Blessing

[研究目的]构建依托知识图谱的智慧图书馆推荐系统架构体系,以协同创新推荐模式、序化重组知识资源,进而满足智慧图书馆泛在互联、动态感知的服务要求。[研究方法]该文遵循系统设计理论、模型构建方法,从体系结构、功能模块及运行机理三方面构建了知识图谱加持的智慧图书馆信息推荐架构体系。[研究结论]知识图谱加持的智慧图书馆信息推荐体系结构分为智慧服务层、业务平台层、基础设施层;知识图谱加持的智慧图书馆信息推荐功能模块主要包括读者兴趣建模、推荐处理、知识发现、知识计算、知识图谱构建等模块;知识图谱加持的智慧图书馆信息推荐运行机理根据图书馆应用场景、业务逻辑,描述面向读者的数据驱动型、用户驱动型推荐服务路径及过程,并面向图书馆馆员、领域专家分别设计服务职责及范围。

[Research purpose]In this article,the authors build the architecture system of the recommendation system of smart library,which relies on knowledge graph,so as to jointly innovate the recommendation mode,orderly reorganize knowledge resources,and then meet the service requirements of ubiquitous interconnection and dynamic perception of the smart library.[Research method]Following the system design theory and model construction method,the authors construct the architecture system of information recommendation of smart library with knowledge graph blessing from three aspects of architecture,function module and operation mechanism.[Research conclusion]The information recommendation architecture of smart library with knowledge graph blessing is divided into smart service layer,business platform layer and infrastructure layer;the information recommendation function modules of such a smart library mainly include reader interest modeling module,recommendation processing module,knowledge discovery module,knowledge calculation module and knowledge graph construction module,and so on;the information recommendation operation mechanism of such a library describes the path and process of data-driven recommendation services and user-driven recommendation services for the readers according to library application scenarios and business logic,and respectively designs the service responsibilities and scope for librarians and domain experts.