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

A Design of Knowledge Extraction Process of Work Flow Texts based on Domain Ontology

Authors
Yingnan Zhang
Corresponding Author
Yingnan Zhang
Available Online January 2017.
DOI
10.2991/icmmita-16.2016.283How to use a DOI?
Keywords
Domain Ontology; Research Text; Knowledge Extraction Process
Abstract

Ontology has the characteristics of consistency, sharing and extensibility, which plays an important role in the study of text knowledge extraction. In the reality of work flow text knowledge extraction, based on the construction of domain ontology, this paper establishes the basic process of work flow text knowledge extraction, analyzes the process of text preprocessing, text instantiation, the problems involved in the three stages of text knowledge reasoning and designs the corresponding solutions for each stage with practical examples in application.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
10.2991/icmmita-16.2016.283How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yingnan Zhang
PY  - 2017/01
DA  - 2017/01
TI  - A Design of Knowledge Extraction Process of Work Flow Texts based on Domain Ontology
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1234
EP  - 1238
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.283
DO  - 10.2991/icmmita-16.2016.283
ID  - Zhang2017/01
ER  -