CCKS-IJCKG 2024
September 19-22, 2024，Chongqing
https://sigkg.cn/ccks-ijckg2024/

CCKS-IJCKG 2024 is the Joint Conference of the 18th China Conference on Knowledge Graph and Semantic Computing (CCKS 2024) and the 13th International Joint Conference on Knowledge Graphs (IJCKG 2024).

The China Conference on Knowledge Graph and Semantic Computing (CCKS 2024) is hosted by the Language and Knowledge Computing Professional Committee of the Chinese Information Processing Society of China. It originated from the Chinese Knowledge Graph Symposium (CKGS) and the Chinese Semantic Web and Web Science Conference (CSWS). In 2016, the two series were merged. CCKS 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 were held in Beijing, Chengdu, Tianjin, Hangzhou, Nanchang, Guangzhou (online), Qinhuangdao and Shenyang, respectively. CCKS has become a core national academic conference in the fields of knowledge graph and semantic technology, bringing together researchers and developers in the fields of knowledge representation and reasoning, natural language understanding and knowledge acquisition, graph data management and graph computing, question answering, etc. This year, CCKS 2024 will be held in conjunction with IJCKG 2024.

The International Joint Conference on Knowledge Graphs (IJCKG) is a premium academic forum on Knowledge Graphs. The mission of IJCKG 2024 is to bring together international researchers in the Knowledge Graph community and other related areas to present their innovative research results or novel applications of Knowledge Graphs. IJCKG has evolved from the Joint International Semantic Technology Conference (JIST): a joint event for disseminating research results regarding the Semantic Web, Knowledge Graphs, Linked Data and AI on the Web. IJCKG 2023 was held in Tokyo, Japan. This year, the conference is jointly held with CCKS 2024.

CCKS-IJCKG 2024 will be undertaken by Chongqing University and held in Chongqing from September 19th to 22th, 2024.

CCKS-IJCKG 2024 will organize evaluation competitions related to knowledge graphs, aiming to provide researchers with a platform to test technologies, algorithms and systems. Evaluations task publishers of CCKS-JICKG 2024 can select the platform and evaluation plan by themselves. CCKS 2023 evaluation competition has a total of four themes and seven tasks, covering finance, e-commerce, military, medicine and other fields. It attracts 2,771 teams and about 11,000 people to participate in. A total of 35 teams received 180,000 RMB bonuses. It has a high influence in the industry and academia. Here, CCKS-IJCKG 2024 sincerely solicits evaluation tasks from researchers, research institutions and enterprises in related fields.

Important Dates:

  • Evaluation Task Submission: April 16
  • Audit Notification: April 23
  • Evaluation Task Release: April 30
  • Sigh Up: May 1 – August 1
  • Training and Validation Data Release: May 14
  • Test Data Release: August 1
  • Test Result Submission: August 8
  • Rank Notification: August 15
  • Evaluation Paper Submission: September 1
  • CCKS-IJCKG Conference Date: September 19-22

Evaluation Chair:

  • Tianxing Wu, Southeast University (tianxingwu@seu.edu.cn)
  • Yuanzhe Zhang, Institute of Automation, Chinese Academy of Sciences (yuanzhe.zhang@ia.ac.cn)

Please send the evaluation task plan to the evaluation chair via email. The plan should describe the task content and the preparation process of evaluation data in detail. For the template and content of the evaluation plan, please refer to the task description files of CCKS 2023 (https://sigkg.cn/ccks2023/evaluation).

Topics of interest include, but are not limited to:

Knowledge Representation and Reasoning

  • Knowledge Representation and Ontology Modeling
  • Knowledge Representation Learning
  • Ontology Reuse and Evolution
  • Ontology Mapping, Fusion and Alignment
  • Ontology Evaluation
  • Knowledge Reasoning
  • Knowledge Base Completion
  • Knowledge Representation and Reasoning Empowered by Large Language Models

Knowledge Acquisition and Knowledge Graph Construction

  • Open-Domain Knowledge Extraction
  • Crowdsourcing Knowledge Engineering and Collaborative Knowledge Acquisition
  • Human-Machine Collaborative Knowledge Base Construction
  • Knowledge Mining Empowered by Large Language Models
  • Knowledge Acquisition from Wikipedia
  • Automated Knowledge Base Construction Tools, Languages and Systems
  • Knowledge Acquisition based on Supervised Learning/ Unsupervised Learning
  • Semi-Supervised Learning/ Distant Supervised Learning and Text Extraction

Knowledge Fusion and Knowledge Graph Management

  • Entity Recognition, Resolution and Linking
  • Terminology Mapping and Integration
  • Heterogeneous Knowledge Linking and Integration
  • Ontology-based Data Integration
  • Knowledge Fusion Empowered by Large Language Models
  • Knowledge Query and Search
  • Elastic Knowledge Storage and Distributed Computing
  • Graph Database
  • Knowledge Query and Analysis Empowered by Large Language Models

Natural Language Understanding, Semantic Computing and Knowledge Graph Mining

  • Text Understanding
  • Machine Reading Comprehension
  • Semantic Similarity/ Relatedness Calculation
  • Synonym Mining
  • Natural Language Understanding Empowered by Large Language Models

Knowledge Graph Applications

  • Knowledge Graph Visualization
  • Semantic Search
  • Knowledge-based Question Answering System
  • Intelligent Personal Assistant System
  • Knowledge-based Natural Language/ Speech/ Image/ Video Semantics Analysis
  • Intelligent Recommendation
  • Large Language Model and Knowledge Graph Applications

Large Language Models Empowered by Knowledge Graphs

  • Large Language Model Pre-Training Enhanced by Knowledge Graphs
  • Large Language Model Fine-Tuning Enhanced by Knowledge Graphs
  • Large Language Model Generation, Verification and Interpretation Enhanced by Knowledge Graphs
  • Knowledge Editing in Large Language Models based on Knowledge Graphs
  • Retrieval-Augment Generation based on Knowledge Graphs