2026-07-21T03:11:27Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:23845 2025-11-12T13:20:29Z ddc:004 open_access

What, When, and Where Do You Mean? Detecting Spatio-Temporal Concept Drift in Scientific Texts Shi, Meilin Janowicz, Krzysztof Liu, Zilong Karimi, Mina Majic, Ivan Fortacz, Alexandra Concept Drift Ontology Large Language Models Research Data Management Inundated by the rapidly expanding AI research nowadays, the research community requires more effective research data management than ever. A key challenge lies in the evolving nature of concepts embedded in the growing body of research publications. As concepts evolve over time (e.g., keywords like global warming become more commonly referred to as climate change), past research may become harder to find and interpret in a modern context. This phenomenon, known as concept drift, affects how research topics and keywords are understood, categorized, and retrieved. Beyond temporal drift, such variations also occur across geographic space, reflecting differences in local policies, research priorities, and so forth. In this work, we introduce the notion of spatio-temporal concept drift to capture how concepts in scientific texts evolve across both space and time. Using a scientometric dataset in geographic information science, we detect how research keywords drifted across countries and years using word embeddings. By detecting spatio-temporal concept drift, we can better align archival research and bridge regional differences, ensuring scientific knowledge remains findable and interoperable within evolving research landscapes. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Meilin Shi and Krzysztof Janowicz and Zilong Liu and Mina Karimi and Ivan Majic and Alexandra Fortacz 2025 Is Part Of LIPIcs, Volume 346, 13th International Conference on Geographic Information Science (GIScience 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2025.16 urn:nbn:de:0030-drops-238450 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2025.16 eng https://creativecommons.org/licenses/by/4.0/legalcode