Artificial Intelligence 36 min read

DataFun Summit 2023 – Knowledge Graph Online Summit

DataFun Summit 2023’s Knowledge Graph Online Summit, held on March 18, brings together leading experts from academia and industry to present six forums covering unified knowledge representation, large‑scale graph construction, massive knowledge storage, KG‑based QA, KG‑AIGC integration, and best‑practice industry applications, with free live streaming registration via QR code.

DataFunTalk
DataFunTalk
DataFunTalk
DataFun Summit 2023 – Knowledge Graph Online Summit

On March 18, 2023, DataFun Summit will host the Knowledge Graph Online Summit, featuring six major forums: unified knowledge representation & complex reasoning, large‑scale knowledge graph construction & updates, massive knowledge storage & computing, knowledge QA & recommendation, KG‑AIGC integration, and best industry practices.

The event is organized by leading scholars and industry experts, including professors from Harbin Institute of Technology, researchers from Alibaba, Ant Group, Shopee, Baidu, and many others, who will share deep insights, research findings, and practical case studies.

Each forum includes an opening session followed by multiple talks covering topics such as knowledge graph reasoning, neural‑symbolic integration, multilingual product KG construction, graph database storage, graph query verification, and AI‑enhanced query intent recognition.

All sessions will be live‑streamed for free; participants can register by scanning the QR code displayed throughout the announcement.

The summit aims to promote knowledge sharing, foster collaboration between academia and industry, and showcase the latest advancements in knowledge graph technologies and their applications.

big dataAIDataFunKnowledge GraphOnline Summit
DataFunTalk
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DataFunTalk

Dedicated to sharing and discussing big data and AI technology applications, aiming to empower a million data scientists. Regularly hosts live tech talks and curates articles on big data, recommendation/search algorithms, advertising algorithms, NLP, intelligent risk control, autonomous driving, and machine learning/deep learning.

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