@inproceedings{ffc4dfe7d4d64fdabb2c279e2cb0ebbf,
title = "Classification of news by topic using location data",
abstract = "In this work, we will consider news articles to determine geolocalization of their information and classify their topics on the basis of an available open data source: OpenStreetMap (OSM). We propose a knowledge-based conceptual and computational approach that disambiguates place names (i.e., geo-objects and regions) mentioned in news articles in terms of geographic coordinates. The geo-located news articles are analyzed to identify local topics: we found that the mentioned geo-objects are a good proxy to classify news topics.",
author = "Zolzaya Dashdorj and Khan, {Muhammad Tahir} and Loris Bozzato and Sang-Geun Lee",
note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (number 2015R1A2A1A10052665). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 6th Joint International Conference on Semantic Technology, JIST 2016 ; Conference date: 02-11-2016 Through 04-11-2016",
year = "2016",
doi = "10.1007/978-3-319-50112-3_23",
language = "English",
isbn = "9783319501116",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "305--314",
editor = "Jun Sun and Yang Liu and Dong, {Jin Song} and Grigoris Antoniou and Zhe Wang and Wei Hu and Yuan-Fang Li",
booktitle = "Semantic Technology - 6th Joint International Conference, JIST 2016, Revised Selected Papers",
}