調研內容來自淘寶和亞馬遜

下面一部分是純理論的:
＜Knowledge Graph and Semantic Computing,Language, Knowledge, and Intelligence＞(純理論)
<Knowledge Graph and Semantic Computing,Semantic,Knowledge and Linked Big Data>(純理論)
＜Graph Structures for Knowledge Representation and Reasoning＞(純理論)
＜Exploiting Linked Data and Knowledge Graphs in Large Organisations＞(純理論)
＜Knowledge Graphs and Language Technologｙ＞(純理論)
＜Graph-Based Clustering and Data Visualization Algorithms＞(純理論)
＜Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering＞(純理論)
＜Graph Drawing and Applications for Software and Knowledge　Ｅｎｇｉｎｅｅｒｓ＞(純理論分析)
＜Graph Mining: Laws, Tools, and Case Studieｓ＞(以網頁信息為主的圖分析,可以不看,沒意義)
下面一部分是實驗和理論并重的:
＜Graph-Based Social Media Analysis＞(應該是側重實驗的)☆☆☆
＜Practical Graph Mining with R＞(有電子書,但是沒有大型實驗)☆☆☆
＜Spark GraphX實戰＞ ｓｃａｌａ語言☆☆☆
<圖數據管理與挖掘>(有小型實驗)
＜Graph-Based Knowledge Representation＞(有電子書,但是沒有大型實驗)
＜Python for Graph and Network Analysis＞(有電子書,但是沒有大型實驗)☆☆☆

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