A knowledge graph is a large and complex project that involves knowledge from various disciplines such as knowledge engineering, natural language processing, databases, and machine learning. It is applied in various industries including social networks, human resources and recruitment, finance, insurance, retail, advertising, logistics, telecommunications, IT, and manufacturing, among others. Compared to traditional data storage and computation methods, knowledge graphs have clear advantages.
As a result, more and more partners have joined the ranks of learning about knowledge graphs. However, due to the vast knowledge involved in knowledge graphs, beginners often find it difficult to clarify the knowledge system and do not know how to start learning; moreover, the technology stack is extensive, and when faced with problems, they often do not know how to solve them, leading to a gradual loss of enthusiasm until they give up.
In response, the Deep Blue Academy’s research and teaching team launched the ‘Theory and Practice of Knowledge Graphs’ online course. The course systematically explains the mainstream methods of each stage of the knowledge graph lifecycle and ultimately completes a practical project of a Q&A system, helping everyone to efficiently start learning about knowledge graphs and systematically learn the entire knowledge graph framework, implementation methods, and application scenarios.
Zeng Bo
PhD from the State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
University teacher, mainly researching information extraction, knowledge graphs, and natural language processing. He has published multiple academic papers in top international conferences including ACL, EMNLP, COLING, and IJCAI, and has won the COLING and CCL Best Paper Awards. He has led projects funded by the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation, and has participated in various research projects including the National Natural Science Foundation, the National Key Basic Research Program (973 Program), and Huawei, possessing rich practical experience in implementing knowledge graphs.
Scientifically Systematic Professional Content
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While meticulously explaining core technologies such as system construction, knowledge acquisition, knowledge fusion, knowledge storage and querying, knowledge reasoning, and knowledge Q&A systems, practical projects are integrated to provide a deeper understanding of knowledge graphs.
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Based on past six offline courses, we have iterated to create a premium online course.
Group photo of students from the sixth training session (Beijing location)
(Q&A session with instructors from the first and second offline courses)
1. Master the basic issues and methods of knowledge engineering represented by knowledge graphs;
2. Systematically master the core technical principles at each stage of the knowledge graph lifecycle.
1. Be capable of implementing classic algorithms for each stage of the knowledge graph;
2. Learn to use classic software related to knowledge graphs;
3. Master the development context of knowledge graph cases and be able to implement a simple Q&A system based on knowledge graphs.
1. A Quality Learning Circle
Most of the partners come from 985, 211, and overseas universities for master’s and doctoral studies. Here, everyone learns, discusses, and researches together. This unique quality circle will be a valuable resource for your future learning and employment.
(Learning partners from various universities)
2. Certificates Recognized by Enterprises
After completing the course, you will have the opportunity to receive a certificate of excellence and a graduation certificate, enhancing your resume.
1. Three Instructors’ Support
Instructors & teaching assistants will promptly answer questions, and the class supervisor will guide the class throughout, helping you overcome procrastination and continuously improve.
2. Regular Class Meetings
Teaching assistants will provide 1-on-1 grading of assignments; regular class meetings will be held to learn more techniques and gain more ideas through discussions.
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