摘要
图数据库是NoSQL技术之一,其图数据结构适合用于标签系统的数据存储与检索。本文分析了标签系统的数据存储方式,比较了图数据库与传统关系型数据库,基于"用户-标签-资源"三者关系构建了图数据模型。通过Flickr API采集到的图片数据,以图数据库Ne04j作为应用环境构建了小型的标签系统,使用图数据库语法可以构遣出多维度的检索分析,得到直观的可视化网络图。图数据库对于处理呈现出复杂网络结构的标签系统有着明显优于关系型数据库的优势和实用价值。
Graph database is one of NoSQL technologies. Graph data structure is suitable for storage and retrieval of tagging system. This paper analyzes the implementations of data storage of tagging system, and compares graph database with traditional relational database. It proposes a graph data model based on“user-tag-resource”triadic relation. Then, It col ects the image data from Flickr API, and imports these tagging data into Neo4j. The multi-dimensional retrieval analysis with the graph database grammar and intuitive network diagrams are demonstrated. Final y, it indicates that graph database has obvious advantages and practical value than relational database on the processing of the tagging system which presenting a complex network structure.
出处
《数字图书馆论坛》
CSSCI
2015年第4期21-27,共7页
Digital Library Forum
关键词
图数据库
标签系统
数据管理
Graph Database
Tagging System
Data Management
