The proliferation of geo-referenced digital resources continues to accelerate, presenting new opportunities and challenges for researchers and professionals alike. To harness the potential of these resources, it is essential to annotate, index, and analyze them according to data models tailored to specific domains. Geographic data, characterized by spatial (location), temporal (date/time), and thematic (theme) dimensions, are increasingly crucial in various fields. In recent years, significant advances have been made in the extraction, analysis, and retrieval of geographic information from diverse sources such as textual documents, images, satellite data and maps. Numerous engines and services have been developed to search for geographical information, often incorporating spatial, spatio-temporal, and thematic data. Scientific domain :
Computer Science - Computation and Language - Databases - Data Structures and Algorithms - Human-Computer Interaction - Information Retrieval - Learning