Geo-Event Question Answering Systems: A Preliminary Research Study

Mohammad Kazemi Beydokhti, Matt Duckham, Amy Griffin, Vedran Kasalica

Research output: Contribution to conferencePaperAcademic

Abstract

Designing a Geospatial Question Answering (GeoQA) system that takes a user’s GIS-related domain question, understands how to gather the required data, how to analyse it, and how to present the results in a suitable format is arguably among the most important “moonshots” in the GeoAI field. In this study, we focus specifically on answering geo-event questions. This work begins by presenting a prototype process for generating workflows to answer geo-event questions by providing annotations of the domain, comprising a tool taxonomy we created from descriptions of geo-operations, a data type ontology obtained from the Core Concept Data types (CCD) ontology, and the annotations of the mentioned geo-operations with respect to the input/output pairs. Finally, the generated workflows are post-processed to restrict the solution space and provide more structured solutions. The results of this research provide a step towards the implementation of a geo-event QA system capable of answering diverse geo-event questions defined by users.
Original languageEnglish
Pages1-6
DOIs
Publication statusPublished - 1 Sept 2021

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