摘要
知识图谱是一种基于图的数据结构,由节点和边组成,其本质上属于语义网络。近年来,伴随着大数据概念的提出,知识图谱已经成为是当前的研究热点。由于非结构化文本的知识提取和数据可视化这两方面的技术难点,目前知识图谱应用主要局限于搜索引擎和问答系统等方面。着眼于电影知识图谱的设计与实现,通过引入图数据库Neo4j,为知识图谱的实现提供一种新的思路。
Knowledge graph is a graph-based data structure, consisting of nodes and edges, and it is essentially a semantic network. In recent years,along with the proposed concept of big data, knowledge graph has become the current research focus. As technical difficulties of knowledge extraction of unstructured text and data visualization, the current applications of knowledge graph mainly limited in the aspects of search engine and Q/A system. Focuses on the design and implementation of movie knowledge graph, by the introduction of the Neo4 j graph database, provides a new way of thinking for the realization of knowledge graph.
出处
《现代计算机》
2016年第5期76-83,共8页
Modern Computer
作者简介
陆晓华（1988-），男，江苏苏州人，硕士，研究方向为机器学习、计算机视觉
张宇（1962-），教授，研究方向为模式识别
钱进，工程师，研究方向为通信传输
