中国计算机学会（CCF）推荐学术会议-C（人工智能）：KSEM 2026

KSEM 2026

The 19th International Conference on Knowledge Science, Engineering and Management (KSEM 2026) will be held in Beijing on July 17-19th, 2026.

The aim of this interdisciplinary conference is to provide a forum for researchers in the broad areas of knowledge science, knowledge engineering, and knowledge management to exchange ideas and to report state of the art research results.

重要信息

CCF推荐：C（人工智能）

录用率：53.1%（188/354，2025年）

时间地点：2026年7月17日-北京·中国

截稿时间：2026年1月15日

大会官网：https://ksem2026.rosc.org.cn/

Call for Papers

Knowledge Science

• Knowledge representation and reasoning

• Formal analysis of knowledge; reasoning about knowledge

• Knowledge complexity and knowledge metrics

• Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)

• Knowledge fusion for decision making

• Formal ontologies

• Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency

• Belief propagation, revision and aggregation

• Cognitive foundations of knowledge

• Integration of machine learning and knowledge representation

• Knowledge-driven learning

• Knowledge for cognitive robotics

• Knowledge for cognitive analytics

• Knowledge in complex systems (e.g. manufacture assembling, economical and quantum systems)

• Game-theoretical aspects of knowledge; knowledge in multi-agent systems

Knowledge Engineering

• Knowledge modeling

• Knowledge acquisition, such as knowledge modules, temporal knowledge, etc.

• Knowledge extraction from texts/videos, big data/Web

• Knowledge discovery from very large databases

• Knowledge integration

• Knowledge-based software engineering

• Knowledge-based systems in life sciences

• Knowledge-based systems for smart homes

• Conceptual modeling in knowledge-based systems

• Semantic database systems

• Semantic Web: Content and ontological engineering

• Knowledge engineering applications

• Knowledge-based system and Large Language Models (LLMs)

Knowledge Management

• Knowledge management best practices and applications

• Knowledge verification and validation (e.g. Blockchain)

• Knowledge protection and attack detection

• Knowledge-Based Systems in Cybersecurity Threat Detection and Intelligent Decision-Making

• Smart knowledge and resource optimization

• Knowledge dissemination

• Knowledge management systems

• Knowledge and data integration

• Knowledge adaptation

Knowledge Graphs

• Knowledge graph storage and management

• Probabilistic knowledge graphs

• Knowledge graph construction

• Knowledge graph query

• Learning on knowledge graphs

• Knowledge graph embedding

• Knowledge graph completion

• Multi-modal knowledge graphs

• Knowledge graph applications

• Deep graph neural networks

Double-Blinded Review

To ensure a fair and unbiased review, KSEM 2026 will implement a double-blinded review process. Authors are required to prepare their manuscripts in a way that does not disclose their identity.