调研内容来自淘宝和亚马逊
下面一部分是纯理论的:
＜Knowledge Graph and Semantic Computing,Language, Knowledge, and Intelligence＞(纯理论)
<Knowledge Graph and Semantic Computing,Semantic,Knowledge and Linked Big Data>(纯理论)
＜Graph Structures for Knowledge Representation and Reasoning＞(纯理论)
＜Exploiting Linked Data and Knowledge Graphs in Large Organisations＞(纯理论)
＜Knowledge Graphs and Language Technologｙ＞(纯理论)
＜Graph-Based Clustering and Data Visualization Algorithms＞(纯理论)
＜Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering＞(纯理论)
＜Graph Drawing and Applications for Software and Knowledge Ｅｎｇｉｎｅｅｒｓ＞(纯理论分析)
＜Graph Mining: Laws, Tools, and Case Studieｓ＞(以网页信息为主的图分析,可以不看,没意义)
下面一部分是实验和理论并重的:
＜Graph-Based Social Media Analysis＞(应该是侧重实验的)☆☆☆
＜Practical Graph Mining with R＞(有电子书,但是没有大型实验)☆☆☆
＜Spark GraphX实战＞ ｓｃａｌａ语言☆☆☆
<图数据管理与挖掘>(有小型实验)
＜Graph-Based Knowledge Representation＞(有電子書,但是没有大型实验)
＜Python for Graph and Network Analysis＞(有电子书,但是没有大型实验)☆☆☆