The production and use of geo-referenced digital resources is expanding rapidly. In order to exploit their contents, the documents are annotated, indexed and analyzed according to data models dedicated to the description of particular domains. The multiple dimensions of data descriptors can be divided into three categories: location (spatial dimension), date/time (temporal dimension), and theme (thematic dimension). We call geographical data such multidimensional representations. In recent years, a variety of works have highlighted the potential of the extraction, analysis and retrieval of geographic information in corpora composed of textual documents, images, maps, ... A number of engines or services dedicated to the search for geographical information have been proposed: they cover spatial information for the vast majority, but also spatio-temporal and thematic information, for others. The purpose of this Track is to bring together the growing community of professionals and researchers of the field of geographic information extraction, retrieval and analysis, and of the corresponding applications. GIA track is at the crossroads of several disciplines: of course geomatics, but also Knowledge Engineering (KE), natural languages processing (NLP), data mining (DM) and information extraction (IE).
Scientific domain :
Computer Science - Computation and Language - Databases - Data Structures and Algorithms - Human-Computer Interaction - Information Retrieval - Learning
Place of the conference