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.
| Original language | English |
|---|---|
| Title of host publication | Semantic Technology - 6th Joint International Conference, JIST 2016, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 305-314 |
| Number of pages | 10 |
| Volume | 10055 LNCS |
| ISBN (Print) | 9783319501116 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 6th Joint International Conference on Semantic Technology, JIST 2016 - Singapore, Singapore Duration: 2016 Nov 2 → 2016 Nov 4 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10055 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 6th Joint International Conference on Semantic Technology, JIST 2016 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 16/11/2 → 16/11/4 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Classification of news by topic using location data. / Dashdorj, Zolzaya; Khan, Muhammad Tahir; Bozzato, Loris; Lee, Sang-Geun.
Semantic Technology - 6th Joint International Conference, JIST 2016, Revised Selected Papers. Vol. 10055 LNCS Springer Verlag, 2016. p. 305-314 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10055 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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.
UR - http://www.scopus.com/inward/record.url?scp=85006858112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006858112&partnerID=8YFLogxK
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
ER -