TY - GEN
T1 - Classification of news by topic using location data
AU - Dashdorj, Zolzaya
AU - Khan, Muhammad Tahir
AU - Bozzato, Loris
AU - Lee, Sang-Geun
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-319-50112-3_23
DO - 10.1007/978-3-319-50112-3_23
M3 - Conference contribution
AN - SCOPUS:85006858112
SN - 9783319501116
VL - 10055 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 305
EP - 314
BT - Semantic Technology - 6th Joint International Conference, JIST 2016, Revised Selected Papers
PB - Springer Verlag
T2 - 6th Joint International Conference on Semantic Technology, JIST 2016
Y2 - 2 November 2016 through 4 November 2016
ER -