KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval

TL;DR

This paper introduces KEIR @ ECIR 2025, a workshop focused on integrating external knowledge into information retrieval systems to improve their ability to handle semantic nuances and domain-specific information.

Contribution

It presents the second edition of the KEIR workshop, emphasizing the importance of knowledge-enhanced IR and fostering collaboration among researchers to advance this field.

Findings

Workshop aims to foster research on external knowledge integration in IR.

Highlights the need for improved semantic and domain-specific retrieval.

Encourages collaboration between academia and industry.

Abstract

Pretrained language models (PLMs) like BERT and GPT-4 have become the foundation for modern information retrieval (IR) systems. However, existing PLM-based IR models primarily rely on the knowledge learned during training for prediction, limiting their ability to access and incorporate external, up-to-date, or domain-specific information. Therefore, current information retrieval systems struggle with semantic nuances, context relevance, and domain-specific issues. To address these challenges, we propose the second Knowledge-Enhanced Information Retrieval workshop (KEIR @ ECIR 2025) as a platform to discuss innovative approaches that integrate external knowledge, aiming to enhance the effectiveness of information retrieval in a rapidly evolving technological landscape. The goal of this workshop is to bring together researchers from academia and industry to discuss various aspects of knowledge-enhanced information retrieval.