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.

相关推荐
聊聊科技1 分钟前
原创音乐人使用AI编曲软件制作伴奏,编曲用什么音源好听
人工智能
爱吃烤鸡翅的酸菜鱼1 分钟前
CANN ops-nn卷积算子深度解析与性能优化
人工智能·性能优化·aigc
向哆哆2 分钟前
CANN生态安全保障:cann-security-module技术解读
人工智能·安全·cann
The Straggling Crow3 分钟前
模型全套服务 cube-studio
人工智能
User_芊芊君子5 分钟前
CANN010:PyASC Python编程接口—简化AI算子开发的Python框架
开发语言·人工智能·python
AI科技11 分钟前
原创音乐人搭配AI编曲软件,编曲音源下载哪个软件
人工智能
JQLvopkk12 分钟前
C# 实践AI :Visual Studio + VSCode 组合方案
人工智能·c#·visual studio
饭饭大王66613 分钟前
CANN 生态深度整合:使用 `pipeline-runner` 构建高吞吐视频分析流水线
人工智能·音视频
初恋叫萱萱14 分钟前
CANN 生态中的异构调度中枢:深入 `runtime` 项目实现高效任务编排
人工智能
简佐义的博客15 分钟前
生信入门进阶指南:学习顶级实验室多组学整合方案,构建肾脏细胞空间分子图谱
人工智能·学习