Shirly Stephen

Biography

Shirly Stephen is a postdoctoral scholar at the Center for Spatial Studies, University of California, Santa Barbara. Her research focuses on geospatial semantics, spatial reasoning and spatial ontologies.

Talks and Events

2022 Workshop: Geospatial Knowledge Graphs

Knowledge graphs are not merely a set of technologies, but a novel paradigm for the representation, retrieval, integration, and reasoning of data from highly heterogeneous and multimodal sources. Within just a few years, knowledge graphs (KG) have become a core component of modern search engines, intelligent personal assistants, and business intelligence. Despite large scale data availability, KGs have not yet been as successful in the realm of environmental studies. Geospatial knowledge graphs, as symbolic representations of spatial entities, bring together Geographic Information Science (GIScience) and Artificial Intelligence (AI) to help facilitate many intelligent applications such as geospatial data integration and knowledge discovery. Incorporating geospatial knowledge into KGs reveals a promising approach to identifying and addressing several semantic challenges for geospatial studies, specifically, for data acquisition and integration, geovi sualization, geographic entity alignment, as well as geographic knowledge graph summarization. This workshop will aim to emphasize the importance of geospatial information and principles in designing, developing, and utilizing geospatial knowledge graphs and other geospatial AI techniques.