Humanities data is full of information about locations (city names, buildings, etc.) given in various languages. Researchers need powerful analysis tools to perform queries for or all events that happened in a certain place or to retrieve data in which a certain place is mentioned. To provide such powerful analysis tools, my idea is to automatically extract geolocation information (names in different languages, coordinates, etc.) from textual data and metadata in order to homogenize and store them in RDF format with a unique identifier such as those provided by GeoNames API. Let’s make open research data queriable by location.
Humanities data is full of information about locations (city names, buildings, etc.) given in various languages. Researchers need powerful analysis tools to perform queries for or all events that happened in a certain place or to retrieve data in which a certain place is mentioned. To provide such powerful analysis tools, my idea is to automatically extract geolocation information (names in different languages, coordinates, etc.) from textual data and metadata in order to homogenize and store them in RDF format with a unique identifier such as those provided by GeoNames API. Let’s make open research data queriable by location.