CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang

The China Conference on Knowledge Graph and Semantic Computing (CCKS) is a core academic event in China that brings together researchers and developers from knowledge representation, natural language understanding, graph data management, and intelligent QA. The 17th edition (CCKS 2023) will take place from August 24‑27, 2023 at the Wanda Wenhua Hotel in Shenyang.

The conference theme is “Knowledge Graph Empowering General AI”, aiming to explore how knowledge graphs support general‑purpose AI technologies, their role in cross‑platform and cross‑domain AI tasks, and the future trends of knowledge representation, storage, mining, fusion, and reasoning.

The program includes workshops, invited keynote speeches, frontier trend forums, industrial forums, youth scholar sessions, paper presentations, evaluation tasks, poster displays, and a special forum celebrating the “New 10 Years of Knowledge Graphs” and Northeastern University’s 100‑year anniversary.

Registration is open at http://reg.cipsc.org.cn/ccks2023/index.html . Early‑bird fees (before August 10) are: Professional members – 1700 CNY (workshop), 1900 CNY (main conference), 3300 CNY (both); Student members – 1300 CNY (workshop), 1300 CNY (main), 2300 CNY (both); Non‑members – 2000 CNY, 2200 CNY, 3700 CNY respectively. After August 10 fees increase by 200 CNY, and on‑site registration adds 400 CNY.

Key invited talks:

Report 1 – “Big Data Knowledge Engineering Theory and Application” (Zheng Qinghua, Tsinghua University). Abstract: Discusses transforming massive data into machine‑representable knowledge graphs, introduces the “knowledge forest” model, and illustrates applications in smart education and tax engineering.

Report 2 – “How Large Models Use External Knowledge and Tools” (Wen Jirong, Renmin University). Abstract: Highlights limitations of purely parametric models and presents methods for integrating external knowledge to enhance large language models.

Report 3 – “Wikidata: A Free Knowledge Graph Anyone Can Edit” (Denny Vrandečić, Wikimedia Foundation). Abstract: Introduces Wikidata, its open nature, and discusses its interaction with large language models and Abstract Wikipedia.

Special forum “Knowledge Graph New 10 Years & Northeastern University 100‑Year Anniversary” schedule includes talks on knowledge engineering in the era of large models, multimodal knowledge graph management, and knowledge‑enhanced small language models for enterprise data warehouses.

The industrial forum features presentations on large‑model‑driven investment research, graph technology in finance, knowledge‑graph‑large‑model integration, SPG engine capabilities, semantic property graph language, financial large models, and multimodal short‑video encyclopedic knowledge graphs.

Additional information and the full agenda are available at https://sigkg.cn/ccks2023/ . The OpenKG project, promoting open Chinese knowledge graphs, is also highlighted.