We are preparing a special session called “Information Retrieval and Knowledge Management for Risk-Based Decision Making” within the 2025 Conference on Flexible Query Answering Systems (FQAS 2025) that will be hold on September 11-13th 2025 in Burgas (Bulgaria).

We want to invite you to submit a work to this session (see details below). Feel free to send questions or comments to the special session organizers.

ORGANIZERS

M. Dolores Ruiz (mdruiz@decsai.ugr..es)
Maria J. Martin-Bautista (mbautis@decsai.ugr.es)
Computer Science and A.I. Department, University of Granada (Spain)

IMPORTANT DATES

Paper submission: March 30th, 2025
Final paper deadline: June 15th, 2025

Conference: September 11-13th 2025


We are expecting your participation. You can disseminate the information to other people that may be interested in the session.

Best regards,

Maria J. Martin-Bautista (mbautis@decsai.ugr.es)
M. Dolores Ruiz (mdruiz@decsai.ugr.es)
Bartolomé Ortiz-Viso (bortiz@ugr.es)
Karel Gutierrez-Batista (karel@decsai.ugr.es)
Henrik L. Larsen (henrik@legind.com)


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2025 Conference on Flexible Query Answering Systems (FQAS 2025)
September 11-13th 2025 in Burgas (Bulgaria)

https://fqas2025.uniburgas.bg/sessions.html

Special Session “Information Retrieval and Knowledge Management for Risk-Based Decision Making”

Description: In an increasingly complex and data-driven world, effective decision-making is critical, particularly in high-stakes and risk-sensitive domains such as security, finance, healthcare, and disaster management. The goal of this special session is to explore how information retrieval (IR) and knowledge management (KM) techniques can be leveraged to support risk-based decision-making processes. By focusing on the intersection of IR, KM, and risk management, this session aims to address the challenges and opportunities in providing relevant, timely, and accurate information to decision-makers under uncertainty.

**Topics of Interest**
- Risk-based information retrieval models
- Knowledge management systems for risk assessment and mitigation
- Decision support systems using flexible query-answering approaches
- Managing and querying large-scale risk-related datasets
- Context-aware information retrieval for risk management
- Multi-criteria decision-making (MCDM) in risk contexts
- Semantic technologies and ontologies in risk-based decision support
- Machine learning and AI-driven approaches for risk prediction and decision support
- Evaluating and validating the effectiveness of IR and KM systems for decision-making under uncertainty

This session invites contributions that address both theoretical advancements and practical applications, with an emphasis on novel methods that enhance the efficiency and effectiveness of decision-making processes in risk-intensive environments. Contributions from interdisciplinary fields that combine IR, KM, data science, and risk management are particularly encouraged.

This special session will bring together experts in information retrieval, knowledge management, decision theory, and risk management to share insights, discuss emerging trends, and explore collaborative approaches to developing advanced systems that assist with risk-based decision-making.