A refined model of ontology-driven information extraction

被引：0
作者：
Cong, Chunyu [1 ]
Huo, Shan [1 ]
Meng, Xiao [2 ]
Gao, Rui [3 ]
Wang, Zhongying [4 ]
机构：
[1] Changchun Univ Chinese Med, Changchun 130117, Peoples R China
[2] Chinatelcom Jilin Corp, Changchun 130000, Peoples R China
[3] Jilin Prov Inst Educ, Changchun 130000, Peoples R China
[4] Continental Automot Changchun Co Ltd, Changchun 130033, Peoples R China
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2016年 / 71卷
关键词：
Ontology; information extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An ontology is a formal and normalized explanation of a shared conceptualization while information extraction (IE) is a form of natural language processing in which certain types of information must be recognized and extracted from text. The methods of ontology-based IE fall in two broad categories: document-driven IE and ontology-driven IE. Document-driven IE is known as semantic annotation which annotates and manages the knowledge in semantic web with the semantic information in domain ontologies. Ontology-driven IE can extract information from unstructured documents based on a domain ontology. In this paper, we use ontology-driven IE to extract hazard information from Chinese food complaint documents and the results are delightful.
引用
收藏
页码：591 / 594
页数：4
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