Abstract
Explicitly linking text documents to geographical space is an important processing step for applications such as map visualization, spatial querying, and placename disambiguation. In this work, we present a proof-of-concept processing pipeline to generate spatial footprints for a spatially-rich, manually-annotated corpus of hiking blogs. We present preliminary results obtained by exploiting the spatially-focused nature of our input data and the rich placename resources at our disposal. Future work will fully automate the pipeline and systematically examine the influence of processing decisions on the footprints and downstream tasks.
Acheson, Elise