These are the proceedings of the First International Workshop on Scholarly Information Access (SCOLIA 2025)1. SCOLIA 2025 was held as a half-day in-person event at the European Conference on Information Retrieval (ECIR) in Lucca, Italy. The aim of the SCOLIA workshop, following the successful and long-established BIR workshop series [1, 2], is to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents. Bibliometrics and Scientometrics are concerned with all quantitative aspects of information and academic literature, which naturally make them interesting for IR research, as well as domains in which citations play a central role, for example, legal and patent retrieval. The newly established SCOLIA workshop has a broader scope than the previous BIR workshop series. This allows us to cater for recent developments in NLP and Generative AI, which are becoming more important for SCOLIA's core focus on scholarly information access and recommendation. The following eight research papers are included in the proceedings. All articles were peer-reviewed by at least two experts in the field. The works were presented in two sessions during the workshop. All presentation slides are available online2.
• Stavroula Svolou, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara and Georgios Paliouras: A framework for disease-specific information extraction from biomedical literature and open databases, aiming at drug re-purposing • Shufan Jiang, Mary Ann Tan and Harald Sack:
Towards Disambiguation of Mathematical Terms based on Semantic Representations
We thank our reviewers.
• Akiko Aizawa; National Institute of Informatics, Japan • Birger Larsen; Aalborg University, Denmark • Cyril Labbé; Grenoble Alpes University, France • Dietmar Wolfram; University of Wisconsin-Milwaukee, USA • Gilles Hubert; IRIT, France • Haiko Lietz; GESIS - Leibniz Institute for the Social Sciences, Germany • Hermann Kroll; TU Braunschweig, Institute for Information Systems, Germany • Kanishka Silva; University of Wolverhampton, UK • Katriina Byström; Oslo Metropolitan University, Norway • Lucy Lu Wang; University of Washington, Allen Institute for AI, USA • Marc Bertin; Université Claude Bernard Lyon 1, France • Norbert Fuhr; University of Duisburg-Essen, Germany • Patrice Bellot; Aix-Marseille Université - CNRS (LIS), France • Petr Knoth; The Open University, UK • Philipp Schaer; TH Köln (University of Applied Sciences), Germany • Rajesh Piryani; IRIT - Equipe MELODI Universite Paul Sabatier, France • Ralf Schenkel; Trier University, Germany • Rob Koopman; European Space Agency, France • Roman Kern; TU Graz, Austria • Wolf-Tilo Balke; TU Braunschweig, Institute for Information Systems, Germany
This work was funded by the European Union under the Horizon Europe grant OMINO – Overcoming Multilevel INformation Overload (grant number 101086321, http://ominoproject.eu).
The authors have not employed any Generative AI tools.
The SCOLIA 2025 Organisers Ingo Frommholz, University of Wolverhampton, UK3 Philipp Mayr, GESIS – Leibniz-Institute for the Social Sciences, Cologne, Germany Guillaume Cabanac, University of Toulouse, France Suzan Verberne, Leiden University, The Netherlands Christin Katharina Kreutz, TH Mittelhessen – University of Applied Sciences & Herder Institute, Germany 3New afiliation: Modul University Vienna, Austria