
۰۶ آذر - ۰۸ آذر ۱۴۰۳
International Conference on Knowledge Engineering and Knowledge Management

نمای کلی
The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) will be held in Amsterdam, Netherlands, from November 26th to November 28th, 2024. EKAW serves as a premier gathering for scholars, researchers, and practitioners in knowledge engineering and knowledge management, with a special theme this year on "Knowledge in the Age of Language Models". The conference proceedings will be published by Springer in an LNAI volume.
Call for Papers
The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) encompasses the diverse realms of eliciting, acquiring, modeling, and managing knowledge.
Conference Scope and Special Theme
The conference addresses the pivotal role of knowledge in constructing systems and services for the semantic web, knowledge management, knowledge discovery, information integration, natural language processing, intelligent systems, e-business, e-health, humanities, and cultural heritage.
EKAW-24's Special Theme: Knowledge in the Age of Language Models (LMs). This year, the conference invites research articles focusing on algorithms, tools, methodologies, and applications that leverage the interplay between knowledge and LMs. Contributions should deepen our understanding of how LMs contribute to the dynamic landscape of knowledge acquisition and engineering and vice versa.
All submissions, including those related to LMs, must establish a clear connection to Knowledge Engineering and Knowledge Management or demonstrate a significant impact on the field. Contributions lacking direct relevance will not be considered pertinent.
Topics of Interest
- Knowledge and (Small/Large) Language Models (LMs)
- LM-enhanced ontology and knowledge engineering methodologies and tools
- Ontology evaluation via LMs
- (Ontological) knowledge memorization in LMs
- Knowledge-based techniques for LMs (Retrieval Augmented Generation based approaches, fact-checking, and bias mitigation)
- Question answering over knowledge graphs via LMs
- Knowledge Engineering and Acquisition
- Methods, techniques, and tools for knowledge acquisition and ontology engineering (e.g., ontology learning and population, ontology design patterns)
- Ontology mapping and alignment
- Ontology evaluation and metrics
- Collaborative knowledge engineering
- Multimodal Knowledge Engineering and Acquisition
- Knowledge Management and Governance
- Methods, techniques, and tools for knowledge management and ontology governance
- Knowledge evolution, maintenance, and preservation
- Knowledge sharing and distribution
- Methods for accelerating take-up of knowledge management technologies
- Ethical and Trustworthy Knowledge Engineering
- Ethics, trust, and privacy in knowledge representation and reasoning
- Explainable AI
- Provenance, trust, and transparency in knowledge management
- FAIR data and FAIR knowledge
- Inclusivity and diversity in knowledge representation
- Social and Cognitive Aspects of Knowledge Engineering
- Knowledge representation inspired by cognitive science
- Synergies between humans and machines
- Knowledge emerging from user interaction and (social) networks
- Knowledge ecosystems
- Crowdsourcing in knowledge management
- Knowledge discovery
- Data mining for knowledge construction
- Text mining and ontology engineering
- Classification and clustering for knowledge management
- Mining patterns and association rules
- Neuro-symbolic Artificial Intelligence
- Domain-specific Applications
- eGovernment and public administration
- Life sciences, health, and medicine
- Humanities and Social Sciences
- Cultural Heritage and Digital Libraries
- ICT4D (Knowledge in the developing world)
Timeline
All submission deadlines are 23:59:59 AoE.
- Abstract Submission Deadline: July 01, 2024
- Full Paper Submission Deadline: July 12, 2024
- Notification of Acceptance: September 10, 2024
- Camera Ready Deadline: September 24, 2024
- Conference Days: November 26-28, 2024
Contribution Types
EKAW-24 distinguishes between research, in-use, and position papers. Each type will receive special treatment during the reviewing phase with specific evaluation criteria:
- Research papers: Present a novel method, technique, or analysis with appropriate evaluation. Criteria: originality, technical soundness, and validation.
- In-use papers: Describe knowledge management and engineering applications in real environments, focusing on problem-solving and real-world data. Evaluations involving actual users are essential.
- Position papers: Describe novel, innovative, and disruptive ideas, or analyze unsolved problems from a new perspective to guide future research.
Submissions and Publications
- Pre-submission of abstracts is a strict requirement.
- All papers and abstracts must be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=ekaw2024
- Accepted papers will be published by Springer in an LNAI volume.
- Submissions must be in PDF, formatted in the style of LNCS conference proceedings. Templates are available from Springer.
- Page Limits (references excluded):
- Research and In-use papers: 15 pages
- Position papers: 8 pages
- Submissions must be in English and prepared for single-blind review.
- Large Language Models Policy: Papers including text generated entirely by LLMs are prohibited unless presented as part of experimental analysis. AI tools may be used for editing/polishing.
Registration
One full registration for the conference at the regular rate is required for each accepted paper.
تاریخهای کنفرانس
Conference Date
۶ آذر ۱۴۰۳ → ۸ آذر ۱۴۰۳
- متعاقباً اعلام خواهد شد
ارسال مقاله
Workshops/Tutorials Proposal Deadline
۲۵ خرداد ۱۴۰۳
Abstract Submission Deadline
۱۱ تیر ۱۴۰۳
Full Paper Submission Deadline
۲۲ تیر ۱۴۰۳
اعلان
Notification of Acceptance
۲۰ شهریور ۱۴۰۳
Posters/Demos Notification
۲۴ مهر ۱۴۰۳
Workshop Papers Notification
۲۴ مهر ۱۴۰۳
نسخه نهایی
Camera Ready Deadline
۳ مهر ۱۴۰۳
Posters/Demos Camera Ready Deadline
۳۰ آبان ۱۴۰۳
Workshop Papers Camera Ready
۳۰ آبان ۱۴۰۳
ثبتنام
Author Registration for Inclusion in Proceedings
۱۰ مهر ۱۴۰۳
Early Bird Registration
۲۶ مهر ۱۴۰۳
رتبه منبع
منبع: CORE2023
رتبه: B
حوزه پژوهشی: Data management and data science