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
小郭团队1 天前
1_5_五段式SVPWM (传统算法反正切+DPWM1)算法理论与 MATLAB 实现详解
人工智能·嵌入式硬件·算法·dsp开发
有Li1 天前
DACG:用于放射学报告生成的双重注意力和上下文引导模型/文献速递-基于人工智能的医学影像技术
论文阅读·人工智能·文献·医学生
时间会给答案scidag1 天前
Spring AI Alibaba 学习day01
人工智能·学习·spring
ghie90901 天前
基于粒子滤波的多目标检测前跟踪(TBD)MATLAB实现
人工智能·目标检测·matlab
分布式存储与RustFS1 天前
RustFS在AI场景下的实测:从GPU到存储的完整加速方案
开发语言·人工智能·rust·对象存储·企业存储·rustfs·minio国产化替代
Deepoch1 天前
Deepoc具身模型开发板:半导体制造智能化的技术引擎
人工智能·开发板·半导体·具身模型·deepoc
凤希AI伴侣1 天前
凤希AI提出FXPA2P:下一代点对点AI服务架构-2026年1月14日
人工智能·架构·凤希ai伴侣
科技与数码1 天前
中小企业AI知识权威构建:北京鲲鹏伟业的GEO赋能之道——GEO公司助力企业数字化转型
人工智能
阿湯哥1 天前
Workflow or Agent+Skill:AI 工作流的进化抉择
人工智能
阿坤带你走近大数据1 天前
如何解决农业数据的碎片化问题
大数据·人工智能·rag·大模型应用