Conference Information

ICKEA 2027: International Conference on Knowledge Engineering and Applications

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Submission Date:
2027-01-20 Due in 132 days
Notification Date:
2027-02-20
Conference Date:
2027-06-09
Location:
London, UK
Years:
Viewed: 17273   Tracked: 7   Attend: 0

Conference Partner Index (CP-I)

52.2 / 100
Ranked #1,130 of 5,655 conferences · Top 20%

#99 of 736 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
67
Community attention (10%)
30
Public record completeness (15%)
55

Inputs used: Editions on record: 11 · Researchers following it here: 7 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-09

Call For Papers

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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