文献
J-GLOBAL ID:202202237206970415
整理番号:22A1117579
気象災害領域知識への集中的クローリングのためのオントロジー学習と多目的アリコロニー最適化手法の適用【JST・京大機械翻訳】
Applying ontology learning and multi-objective ant colony optimization method for focused crawling to meteorological disasters domain knowledge
著者 (7件):
Liu Jingfa
(Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong University of Foreign Studies, Guangzhou 510006, China)
,
Liu Jingfa
(School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, China)
,
Dong Yi
(School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China)
,
Liu Zhaoxia
(Network and Information Center, Guangdong University of Foreign Studies, Guangzhou 510006, China)
,
Chen Duanbing
(Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China)
,
Chen Duanbing
(The Center for Digitized Culture and Media, University of Electronic Science and Technology of China, Chengdu 611731, China)
,
Chen Duanbing
(Union Big Data Tech. Inc., Chengdu 610041, China)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
198
ページ:
Null
発行年:
2022年
JST資料番号:
W0178A
ISSN:
0957-4174
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)