Two of our team members, Raquel Liceras-Garrido and Katherine Bellamy have recently completed the project ‘Pathways to understanding 16th century Mesoamerican geographies’, funded by the Lancaster University Department of History. This spin-off project has used ESRI StoryMaps, combining interactive texts, images and maps in a series of online interactive learning resources on the
We're very pleased to have been awarded a Pelagios Commons Resource Development Grant to explore the annotation of a series of historic maps using Recogito. Our corpus of maps includes those produced in the sixteenth-century for the Relaciones Geográficas de Nueva España across the area which is currently Mexico. On Monday 17th
The week before last, we organised a two-day workshop, ‘Exploring Artificial Intelligence for Humanities Research’, hosted by the Lancaster University Digital Humanities Hub in collaboration with tagtog, and funded by the ESRC IAA Business Boost. Tagtog is an online Artificial Intelligence platform that uses Natural Language Processing and Machine Learning for the automated
A couple of weeks ago, the 2018 Spatial Humanities Conference was held at Lancaster University (20th—21st September). This conference focused on exploring what geospatial technologies such as Geographic Information Systems (GIS) have to contribute to humanities research. The main aim was to explore and demonstrate the contributions to knowledge enabled by these technologies,
A key element of our research on the Relaciones Geográficas is the analysis of the textual information contained within these sixteenth century reports. To do this, we will be drawing on techniques from Computer Science, namely Natural Language Processing (NLP) and Machine Learning. Whilst these areas have been studied a great deal, the
Following our last post, Extracting and Creating Data from the Geographic Relations of New Spain, in which I mentioned the problems we face in automatized identification of place-names, I thought it would be worthwhile to take a look at the toponyms we are working with, and why using computational approaches will allow us
