Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

A refined model of ontology-driven information extraction

Authors
Chunyu Cong, Shan Huo, Xiao Meng, Rui Gao, Zhongying Wang
Corresponding Author
Chunyu Cong
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.110How to use a DOI?
Keywords
Ontology; information extraction
Abstract
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Chunyu Cong
AU  - Shan Huo
AU  - Xiao Meng
AU  - Rui Gao
AU  - Zhongying Wang
PY  - 2017/01
DA  - 2017/01
TI  - A refined model of ontology-driven information extraction
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 591
EP  - 594
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.110
DO  - https://doi.org/10.2991/icmmita-16.2016.110
ID  - Cong2017/01
ER  -