Aflaki NStock KJones CBGuesgen HFukuzawa YMorley JHu XHu YResch BKersten JStock K2025-05-212025-05-212023-01-01Aflaki N, Stock K, Jones CB, Guesgen H, Fukuzawa Y, Morley J. (2023). The Koja Web Mapping Application for Context-sensitive Natural Language Spatial Querying. Hu X, Hu Y, Resch B, Kersten J, Stock K. CEUR Workshop Proceedings. (pp. 29-35). CEUR Team.1613-0073https://mro.massey.ac.nz/handle/10179/72924The locations of objects are often described in natural language relative to some other object using vague and context-sensitive spatial relation terms (e.g. theatre near Trafalgar Square). Koja is a web map application that predicts the distance between a location and reference object based on the spatial relation term specified by the user and language and contextual features. That distance is used to retrieve objects of the specified type within a range of the distance. They are displayed through a map interface to make the process more intuitive and user-friendly.(c) The author/shttps://creativecommons.org/licenses/by/4.0/Web maplocation descriptionlinguistic featuresspatial relation termspatial prepositionconferenceCC BYc-conference-paper-in-proceedings29-35