EKAW: Knowledge Acquisition, Modeling and Management

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
EKAW 2024 The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24)
Nov 26, 2024 - Nov 28, 2024 Amsterdam, Netherlands Jul 5, 2024 (Jul 1, 2024)
EKAW 2020 International Conference on Knowledge Engineering and Knowledge Management
Sep 16, 2020 - Sep 20, 2020 Bozen-Bolzano, Italy TBD
EKAW 2016 20th International Conference on Knowledge Engineering and Knowledge Management
Nov 19, 2016 - Nov 23, 2016 Bologna, Italy Jul 15, 2016 (Jul 8, 2016)
EKAW 2014 19th International Conference on Knowledge Engineering and Knowledge Management
Nov 24, 2014 - Nov 28, 2014 Linköping, Sweden Jul 16, 2014 (Jul 9, 2014)
EKAW 2012 The 18th International Conference on Knowledge Engineering and Knowledge Management
Sep 8, 2012 - Sep 12, 2012 Galway, Ireland Apr 25, 2012 (Apr 18, 2012)
EKAW 2010 International Conference on Knowledge Engineering and Knowledge Management
Oct 11, 2010 - Oct 15, 2010 Lisbon, Portugal Mar 19, 2010
 
 

Present CFP : 2024

24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24)
Amsterdam, Netherlands - November 26-28, 2024

The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) encompasses the diverse realms of eliciting, acquiring, modeling, and managing knowledge. 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, cultural heritage, and beyond.

** EKAW-24's Special Theme: Knowledge in the Age of Language Models (LMs) **. In addition to the topics above, this year's conference invites research articles focusing on algorithms, tools, methodologies, and applications that leverage the interplay between knowledge and LMs. The 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, should establish a clear connection to Knowledge Engineering and Knowledge Management or demonstrate a significant impact on the field. While acknowledging the interdisciplinary nature of knowledge and its interplay with other disciplines and technologies, such as Machine Learning, Natural Language Processing, and Computer Vision, contributions lacking direct relevance to Knowledge Engineering and Knowledge Management will not be considered pertinent to the EKAW conference.

# Topics of interest

EKAW-24 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools, and methodologies on the following topics:

* 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
* Applications in specific domains such as:
--- eGovernment and public administration
--- Life sciences, health, and medicine
--- Humanities and Social Sciences
--- Cultural Heritage and Digital Libraries
--- ICT4D (Knowledge in the developing world)

# Types of papers

EKAW-24 distinguishes between research, in-use, and position papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria:

* Research papers: These are standard papers presenting a novel method, technique, or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness, and validation.
* In-use papers: These are papers describing knowledge management and engineering applications in real environments. Applications must address a sufficiently interesting and challenging problem, work with real-world data, and involve real users. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations are essential for this type of paper and should involve a representative subset of the actual users of the system.
* Position papers: These are papers describing novel, innovative, and disruptive ideas. Position papers may also comprise an analysis of currently unsolved problems or review these problems from a new perspective to contribute to their better understanding within the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a specific problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments.

# Important dates

* Abstract submission deadline: July 01, 2024
* Full paper submission deadline: July 05, 2024
* Notification of acceptance: September 4, 2024
* Conference days: November 26-28, 2024

All submission deadlines are 23:59:59 AoE.

# Submissions and publications

Details will follow shortly.

# Organisation

Program Chairs
* Mehwish Alam (Télécom Paris, Institut Polytechnique de Paris, France)
* Marco Rospocher (University of Verona, Italy)

General Chairs
* Laura Hollink (Centrum Wiskunde & Informatica, Amsterdam, Netherlands)
* Marieke van Erp (KNAW Humanities Cluster, Amsterdam, Netherlands)

 

Related Resources

ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
IPM-LLMDQKG 2025   Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
ECAI 2024   27th European Conference on Artificial Intelligence
MEDES 2024   The 16th International Conference on Management of Digital EcoSystems
IEEE ICA 2022   The 6th IEEE International Conference on Agents
EKAW-WT 2024   Call for Workshops & Tutorials
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
DMKD 2024   2024 International Conference on Data Mining and Knowledge Discovery(DMKD 2024)
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)