Research data supporting "Which Melbourne? Augmenting Geocoding with Maps"

Name: Research data supporting "Which Melbourne? Augmenting Geocoding with Maps"
Published: 2018-07-03T15:03:24Z
License: https://www.gnu.org/licenses/gpl-3.0.en.html
Keywords: toponym resolution, geoparsing, geocoding, geotagging, toponym, machine learning, geography, Information Retrieval, Geographical Information Retrieval

Gritta, M

Research data supporting "Which Melbourne? Augmenting Geocoding with Maps"

Authors

Gritta, Milan

https://orcid.org/0000-0003-0014-7275

DOI

https://doi.org/10.17863/CAM.25015

Files

weights.zip (746.65 MB)

README.txt (1.9 KB)

geonames.db.zip (858.55 MB)

allCountries.txt.zip (323.5 MB)

geowiki.txt.zip (419.86 MB)

Type

Dataset

Description

Please unzip the files and read the README file for more instructions. Also visit my GitHub account for more information (milangritta)

Publication Date

2018-07-03T15:03:24Z

Format

All instructions on GitHub/milangritta and inside the README file.

Keywords

toponym resolution, geoparsing, geocoding, geotagging, toponym, machine learning, geography, Information Retrieval, Geographical Information Retrieval