KDIR 2025 : 17th International Conference on Knowledge Discovery and Information Retrieval
CALL FOR PAPERS
17th International Conference on Knowledge Discovery and Information Retrieval (KDIR)
Submission Deadline: May 19, 2025
In Cooperation with:
Association for the Advancement of Artificial Intelligence
Proceedings will be submitted for evaluation for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Engineering Index
Web of Science / Conference Proceedings Citation Index
The event will be of hybrid nature, in the sense that online presentations of accepted papers will be possible for those authors that are unable to travel to the venue.
https://kdir.scitevents.org
October 20 - 22, 2025
Marbella, Spain
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Scope:
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.
KDIR is organized in 1 major tracks:
Knowledge Discovery and Information Retrieval
Conference Chair(s)
Jorge Bernardino, Polytechnic University of Coimbra, Portugal
Program Chair(s)
Lars Nolle, Jade University of Applied Sciences, Germany
Frans Coenen, University of Liverpool, United Kingdom
Program Committee
https://kdir.scitevents.org/ProgramCommittee.aspx
KDIR Secretariat
[email protected]
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel:+351 265 520 185
Web: https://kdir.scitevents.org
17th International Conference on Knowledge Discovery and Information Retrieval (KDIR)
Submission Deadline: May 19, 2025
In Cooperation with:
Association for the Advancement of Artificial Intelligence
Proceedings will be submitted for evaluation for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Engineering Index
Web of Science / Conference Proceedings Citation Index
The event will be of hybrid nature, in the sense that online presentations of accepted papers will be possible for those authors that are unable to travel to the venue.
https://kdir.scitevents.org
October 20 - 22, 2025
Marbella, Spain
---------
Scope:
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.
KDIR is organized in 1 major tracks:
Knowledge Discovery and Information Retrieval
Conference Chair(s)
Jorge Bernardino, Polytechnic University of Coimbra, Portugal
Program Chair(s)
Lars Nolle, Jade University of Applied Sciences, Germany
Frans Coenen, University of Liverpool, United Kingdom
Program Committee
https://kdir.scitevents.org/ProgramCommittee.aspx
KDIR Secretariat
[email protected]
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel:+351 265 520 185
Web: https://kdir.scitevents.org