In the field of information retrieval (IR), harnessing knowledge from external knowledge bases, such
as Knowledge Graphs and Wikipedia, has emerged as a promising avenue for improving the effectiveness
and the interpretability of IR systems. These external knowledge bases offer valuable information
that empowers IR models to make more accurate predictions. The infusion of external knowledge bases
into IR models can provide enhanced ranking results and greater interpretability, offering
substantial advancements in the field.
The First Knowledge-Enhanced Information Retrieval workshop (KEIR @ ECIR 2024) will serve as a platform to bring together researchers from academia and industry to explore and discuss various aspects of knowledge-enhanced information retrieval systems, such as models, techniques, data collection and evaluation. The workshop aims to not only deliberate upon the advantages and hurdles intrinsic to the development of knowledge-enhanced PLMs, IR models and RecSys models but also to facilitate in-depth discussions concerning the same.
This workshop holds a steadfast commitment to fostering collaboration among researchers engaged in the realm of knowledge integration for IR, RecSys and NLP. We invite submissions regarding different aspects of knowledge-enhanced information retrieval systems. Relevant topics include, but are not limited to:
We invite authors to submit papers written in English. Submissions may range in length from a minimum of 6 pages to a maximum of 12 pages; however, references and supplementary materials may exceed this page count without limitation. In order to facilitate a double-blind review process, authors must ensure that submissions are fully anonymized. Please note that we do not impose a specific anonymity period prior to submission. The papers (.pdf format) should be submitted using the EasyChair submission system at https://easychair.org/conferences/?conf=keirecir2024. Authors should consult Springer’s authors’ guidelines and use their proceedings templates to prepare the submission. The Microsoft Word and LaTeX versions of the template can be found at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Submissions to KEIR@ECIR2024 will be peer-reviewed on the basis of technical quality, relevance to workshop topics, originality, significance, clarity, etc. We accept submissions of the following types:
The proceedings of the KEIR workshop will be non-archival in nature. Extended versions of selected papers will be recommended for special issues of several SCI-indexed international journals. However, authors retain the right to submit their work to other peer-reviewed venues for further dissemination.
University of Glasgow
University of Bologna
University of Amsterdam
University College London