@article{ART002149494},
author={Park, Sung Hee},
title={KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2016},
volume={33},
number={3},
pages={321-343},
doi={10.3743/KOSIM.2016.33.3.321}
TY - JOUR
AU - Park, Sung Hee
TI - KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web
JO - Journal of the Korean Society for Information Management
PY - 2016
VL - 33
IS - 3
PB - 한국정보관리학회
SP - 321
EP - 343
SN - 1013-0799
AB - This study aimed to design a semi-automatic web-based pilot system 1) to build a Korean novel geo-name, 2) to update the database using automatic geo-name extraction for a scalable database, and 3) to retrieve/visualize the usage of an old geo-name on the map. In particular, the problem of extracting novel geo-names, which are currently obsolete, is difficult to solve because obtaining a corpus used for training dataset is burden. To build a corpus for training data, an admin tool, HTML crawler and parser in Python, crawled geo-names and usages from a vocabulary dictionary for Korean New Novel enough to train a named entity tagger for extracting even novel geo-names not shown up in a training corpus. By means of a training corpus and an automatic extraction tool, the geo-name database was made scalable. In addition, the system can visualize the geo-name on the map. The work of study also designed, implemented the prototype and empirically verified the validity of the pilot system. Lastly, items to be improved have also been addressed.
KW - novel geo-name extraction;named entity recognition;Web knowledge base;conditional random fields;text mining;machine learning;novel geo-name map visualization
DO - 10.3743/KOSIM.2016.33.3.321
ER -
Park, Sung Hee. (2016). KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web. Journal of the Korean Society for Information Management, 33(3), 321-343.
Park, Sung Hee. 2016, "KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web", Journal of the Korean Society for Information Management, vol.33, no.3 pp.321-343. Available from: doi:10.3743/KOSIM.2016.33.3.321
Park, Sung Hee "KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web" Journal of the Korean Society for Information Management 33.3 pp.321-343 (2016) : 321.
Park, Sung Hee. KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web. 2016; 33(3), 321-343. Available from: doi:10.3743/KOSIM.2016.33.3.321
Park, Sung Hee. "KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web" Journal of the Korean Society for Information Management 33, no.3 (2016) : 321-343.doi: 10.3743/KOSIM.2016.33.3.321
Park, Sung Hee. KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web. Journal of the Korean Society for Information Management, 33(3), 321-343. doi: 10.3743/KOSIM.2016.33.3.321
Park, Sung Hee. KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web. Journal of the Korean Society for Information Management. 2016; 33(3) 321-343. doi: 10.3743/KOSIM.2016.33.3.321
Park, Sung Hee. KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web. 2016; 33(3), 321-343. Available from: doi:10.3743/KOSIM.2016.33.3.321
Park, Sung Hee. "KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web" Journal of the Korean Society for Information Management 33, no.3 (2016) : 321-343.doi: 10.3743/KOSIM.2016.33.3.321
