KDIR is part of IC3K, the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Registration to KDIR allows free access to all other IC3K conferences.
IC3K 2025 will be held in conjunction with ICINCO 2025, WEBIST 2025, IN4PL 2025, IJCCI 2025 and CoopIS 2025.
Registration to IC3K allows free access to the ICINCO, WEBIST, IN4PL, IJCCI and CoopIS conferences (as a non-speaker).
Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
Upcoming Submission Deadlines
Regular Paper Submission:
May 19, 2025
Position/Regular Paper Submission:
June 26, 2025
(See Important Dates for more information)
Knowledge Discovery (KD) is an interdisciplinary domain focusing upon methodologies for identifying valid, hidden, novel, potentially actionable and meaningful information, from within data of all kinds. Knowledge discovery encompasses an end-to-end process involving: data preparation, the application of learning techniques and the presentation of the acquired knowledge in a manner that is both meaningful and (importantly) explainable. The learning techniques used range from statistically-based data mining, through sophisticated machine learning models to deep learning. Current trends in the field of KD include Explainable AI, Hybrid-learning, and the application of knowledge discovery to ever increasingly diverse data sets. Information Retrieval (IR), in turn, is concerned with the gathering of relevant information, from unstructured and semantically fuzzy data in texts and other media, typically in response to a user query. This encompasses searching for information within data sources (such as documents and images) and for metadata about those data sources, as well as searching within databases of all kinds and the Web. Automation of IR enables the reduction of information overload. The tools and techniques of KD are increasingly used to enhance and automate IR processes. Current trends in IR include learning to rank models, data representation using embedding techniques, and the use of knowledge graph technology. The scope of the KDIR conference covers all aspect KD and IR, and the overlap between the two.
Jorge Bernardino, Polytechnic University of Coimbra, PortugalRicardo da Silva Torres, Agricultural Biosystems Engineering and Wageningen Data Competence Center, Wageningen University & Research, Netherlands
Frans Coenen, University of Liverpool, United KingdomLars Nolle, Jade University of Applied Sciences, Germany
Richard Chbeir, Université de Pau et des Pays de l'Adour (UPPA), France
Publications:
It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book (final approval pending)
Proceedings will be submitted for evaluation for indexing by: