EKAW 2024

The Posters and Demos session at EKAW 2024 aims to complement the research track by providing an opportunity to present and discuss late-breaking results, on-going projects and innovative prototypes. The informal setting of the P&D session encourages presenters and participants to engage in discussions about the presented work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to start collaborations with other researchers.

We invite submissions relevant to the area of knowledge management, knowledge representation, engineering and acquisition, knowledge transfer, and knowledge in use; paying special attention to the EKAW 2024 focus on Knowledge in the Age of Language Models. Technical posters, reports on software systems, descriptions of completed work, and work in progress are all welcome. All submissions, including those related to LMs, should establish a clear connection to Knowledge Engineering and Knowledge Management or demonstrate an impact on the field.

Demonstrations are intended to showcase innovative knowledge engineering related implementations and technologies. All submissions are intended to convey a scientific result or work in progress and should not be advertisements for commercial software packages.

Accepted Posters should apply the following requirements:

  • Size: Posters should be A0 size in portrait orientation.
  • Design: Posters must include the conference logo. Download image

Timeline

All submission deadlines are 23:59:59 AoE.

Download ICS file

  • Applications of knowledge representation techniques
  • Data and knowledge sharing
  • Unconventional applications of knowledge management and knowledge representation

  • eGovernment and public administration
  • Life sciences, health, and medicine
  • Humanities and Social Sciences
  • Cultural Heritage and Digital Libraries
  • ICT4D (Knowledge in the developing world)

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Techniques for capturing and transferring tacit and explicit knowledge
  • Metrics and methods for assessing the effectiveness of knowledge transfer
  • Tools and platforms facilitating knowledge sharing
  • Case studies and applications of successful knowledge transfer in various domains

Submissions of up to 5 pages long (without counting references) are invited, in English, in PDF, formatted in the style of CEUR-WP (template: template on overleaf). They will be published in a CEUR Workshop Proceedings volume.

The submissions should be uploaded to EasyChair using the following link: https://easychair.org/conferences/?conf=ekaw2024 (select Poster or Demo in the Topic part).

All submissions will be reviewed by at least two program committee members. To assess submissions, the reviewers will judge the originality and significance in any of the EKAW research topics. The purpose of the session is to allow the presentation of innovative ideas, as well as of preliminary results, to the community, provided that originality and significance of the contribution are ensured.

Please make sure that it is clear how the demo or poster fits with the topics of interest of EKAW 2024. Authors submitting a demo are strongly encouraged to include in the paper a pointer to the online demo or video of the application to be presented. They should also make clear what exactly will be demonstrated to the participants (e.g., what datasets will be used, which functionalities will be shown). Posters and demonstrations accompanying an accepted paper in the main conference must be marked as such.

Large Language Models Policy of EKAW-24: Papers that include text generated from a Large Language Model (LLM), such as ChatGPT, are prohibited unless this generated text is presented as a part of the experimental analysis of the article. AI tools may be used to edit and polish authors' work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing work), but the text "produced entirely" by AI is not allowed. We rely on the LLM policy as stated in ICML 2023.

One full registration for the conference at the regular rate is required for each accepted contribution at the Demos and Posters Session.


Inna Novalija
Jožef Stefan Institute, Slovenia
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Carlos Badenes-Olmedo
Universidad Politecnica de Madrid, Spain
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