EKAW-24

EKAW (pronounced /ˈiːkoʊ/) conference serves as a premier gathering for scholars, researchers, and practitioners in the fields of knowledge engineering and knowledge management. The 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) will take place in Amsterdam, the Netherlands (in-person conference). The conference will be held at the Amsterdam Science Park campus from November 26th to November 28th 2024. EKAW is renowned for its high-quality research presentations, stimulating discussions, and opportunities for networking, making it an essential event for anyone interested in advancing knowledge engineering and knowledge management practices.

EKAW publishes original, high-quality papers related to eliciting, acquiring, modelling, and managing knowledge. Topics of EKAW24 include, but are not limited to, semantic web, knowledge management, knowledge discovery, information integration, natural language processing, intelligent systems, e-business, e-health, humanities, cultural heritage. In addition, this year's conference invites research articles focusing on algorithms, tools, methodologies, and applications that leverage the interplay between knowledge and Language Models. The contributions should deepen our understanding of how Language Models contribute to the dynamic landscape of knowledge acquisition and engineering and vice versa.

As with past proceedings, the EKAW 2024 proceedings will be published as a Lecture Notes in Artificial Intelligence (LNAI) volume. Authors are requested to consult the Instructions for Authors and adhere to the provided guidelines to ensure acceptance and a smooth publication process. For further details on paper submissions and other important information, please visit our Call for Papers page.

We extend our heartfelt gratitude to our sponsors:

• Platinum Sponsors:
  • Haltia.ai

    Haltia.AI is an innovative AI startup revolutionizing personal AI by focusing on member privacy. Unlike traditional cloud-based solutions, Haltia.AI offers a secure on-device AI technology that ensures data privacy and control. This cutting-edge approach provides customizable, highly secure solutions at a lower cost, benefiting both public and private sectors. Utilizing advanced Large Language Models (LLMs) and real-time knowledge capture, Haltia.AI delivers personalized experiences and seamless voice interactions, even offline. Their dedication to privacy and intuitive user experience positions them to lead the on-device AI market. Haltia.ai, as a platinum sponsor, will be supporting the Best in Use Paper awards as well as the Workshops and Tutorials at EKAW-24. In particular, we invite you to check out the Asimov tutorial "Conversational Knowledge Capture Using the KNOW Ontology".

  • Metaphacts

    Metaphacts is a leading provider of semantic data management solutions. Specializing in knowledge graphs and semantic technologies, Metaphacts offers powerful tools for data integration, search, and analytics. Their solutions enable organizations to leverage structured data for better decision-making and operational efficiency. With a focus on transforming complex data into actionable insights, Metaphacts supports diverse industries in harnessing the full potential of their information assets. In particular, we invite you to check out the Metaphacts tutorial "Semantic Knowledge Modeling - Ontologies & Vocabularies".

  • DiscoveryLab

    Discovery Lab stands at the forefront of AI-powered scientific innovation, representing a dynamic collaboration between industry leader Elsevier and prestigious institutions - Vrije Universiteit Amsterdam and the University of Amsterdam. Their pioneering work in developing integrated knowledge graphs transforms unstructured scientific data into actionable insights, combining expertise in Knowledge Representation, Machine Learning, and Natural Language Processing. By creating intelligent services that enhance literature search, automate hypothesis generation, and enable sophisticated query construction, Discovery Lab is making research more efficient and impactful than ever before, driving the future of scientific discovery through machine intelligence.

  • Artificial Intelligence Journal

    The Artificial Intelligence journal (AIJ) is the longstanding premier journal on Artificial Intelligence broadly concieved. Since it was founded in 1970, it has published many of the key papers in the field. AIJ publishes original papers on all aspects of AI, whether they describe proposals for new ways of looking at AI problems and the results achived, or novel AI methods advancing performance in application areas. Apart from Regular Papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and papers summarising Challenges and Competitions from all areas of AI. The Journal is published by Elsevier B V, in monthly issues.

  • TriplyDB

    Unlock your data's potential! The amount of data in organizations is growing rapidly and becoming increasingly fragmented. The consequence is that within your organization, you can't extract the insights from your data that you really want. We make these insights easily and efficiently accessible so that you can fully leverage your data potential. Do you have questions about Linked Data, or would you like to explore what Triply DB can do for you? To get started with TriplyDB, you can create an account and upload a dataset to explore it. Triply also provides documentation and support to help you navigate the platform. You can dive in and use TriplyDB for free, with a limit of about 10,000 records. Scan the QR-code and get your linked data within seconds!

• Gold Sponsor:
  • Graphwise

    Graphwise enables organizations to unlock ROI for enterprise AI by delivering the most comprehensive and trusted industry solution in the field of knowledge graphs and semantic AI technologies. As enterprises pour millions into AI investment, Graphwise delivers the critical knowledge graph infrastructure to ensure enterprises are ready to realize the technology’s full potential, is trusted, and can be implemented at scale. Graphwise, which is the result of the merger between tech visionaries Ontotext and Semantic Web Company, has over 200 employees worldwide, with offices located across North America, Europe and APAC.

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