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In recent years, the field of Geographic Information Systems (GIS) has witnessed significant advancements in technology and widespread adoption. Nevertheless, certain application domains continue to face challenges in finding effective solutions within the existing GIS research framework. The widespread use of GPS technology has led to the accumulation of vast quantities of trajectory data from mobile sources, creating a substantial Big Data challenge that remains inadequately addressed due to technological limitations. Moreover, current GIS systems fall short in accommodating the complexities posed by domains that require the management of information across not only two spatial dimensions but also time. Illustrative examples include Intelligent Transport Systems, Maritime Spatial Planning, or Climate Change research. 

To meet the demands of a truly comprehensive Geographic Information System encompassing three spatial dimensions and one temporal dimension (MultiGIS), extensive research is essential in various domains. This keynote presentation will highlight the current state of the art and critical research areas within the realm of MultiGIS, including the design of conceptual models capable of describing and querying MultiGIS data, the development and implementation of efficient storage techniques and data structures for seamless MultiGIS querying, and the integration of data engineering, data science, and artificial intelligence methods to process MultiGIS data effectively. Additionally, it will delve into the critical aspect of software engineering for the development of information systems tailored to the unique demands of MultiGIS. This talk aims to shed light on the challenges and opportunities in MultiGIS research, paving the way for the future of geographic information systems.