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ICKEA 2027: International Conference on Knowledge Engineering and Applications

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截稿日期:
2027-01-20 还有 107 天
通知日期:
2027-02-20
会议日期:
2027-06-09
会议地点:
London, UK
届数:
浏览: 17499   关注: 7   参加: 0

会伴指数 (CP-I)

52.2 / 100
全站第 1,190 名 / 共 5,693 个会议 · 前 21%

人工智能与机器学习 第 103 / 742

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
67
社区关注 (10%)
30
资料公开度 (15%)
55

用到的输入: 有据可查的届次：11 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

ICKEA 2027 (International Conference on Knowledge Engineering and Applications) is an academic conference held in London, UK on 2027-06-09. The paper submission deadline is 2027-01-20. Acceptance notifications are sent on 2027-02-20.

Conference Tracks Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, etc. Both full research and work-in-progress reports are welcome. Topics of interest for submission include, but are not limited to: Track 1 Knowledge Representation, Reasoning and Ontology Engineering Knowledge Representation and Reasoning Ontology Engineering and Development Ontology Matching and Alignment Knowledge Acquisition and Modeling Semantic Modeling and Knowledge Representation Rule-Based and Expert Systems Uncertainty Reasoning and Knowledge Inference Knowledge-Based Systems Track 2 Knowledge Graphs, Semantic Web and Intelligent Information Knowledge Graph Construction and Management Knowledge Graph Embedding and Completion Knowledge Graph Query and Reasoning Multimodal and Dynamic Knowledge Graphs Semantic Web and Linked Data Semantic Search and Information Retrieval Knowledge Discovery and Relationship Mining Metadata and Structured Documents Track 3 Artificial Intelligence and Knowledge-Driven Systems AI for Knowledge Engineering Machine Learning and Deep Learning Knowledge-Driven Learning Large Language Models and Generative AI Natural Language Processing and Knowledge Extraction Intelligent Agents and Multi-Agent Systems Intelligent Decision Support Systems Cognitive Computing and Intelligent Problem Solving Track 4 Knowledge Management, Sharing and Organizational Intelligence Knowledge Management Systems Knowledge Sharing and Collaboration Organizational Learning and Organizational Memory Knowledge Management Strategies and Practices Knowledge Services and Dissemination Knowledge Reengineering Digital Libraries, Archives and Repositories Knowledge Management in Organizations Track 5 Data, Information and Knowledge Engineering Data Mining and Knowledge Discovery Data Integration and Interoperability Big Data and Knowledge Analytics Context Modeling and Management Information Systems and Intelligent Information Management Business Intelligence and Analytics Data and Knowledge Quality Knowledge Visualization Track 6 Applications of Knowledge Engineering and Intelligent Technologies Knowledge Engineering in Business and E-Commerce Healthcare and Medical Applications Education and E-Learning Smart Cities and Intelligent Communities Industry 4.0 and Smart Manufacturing Decision-Making and Business Applications Human-Computer Interaction Emerging Applications of Knowledge Engineering
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