Construction of Diesel Domain Ontology

DOI

10.2991/msmee-17.2017.222How to use a DOI?

Keywords

Diesel Domain Ontology, Knowledge Management, Knowledge Retrieval

Abstract

At present, a large number of professional diesel databases and systems could support all kinds of unified management and retrieval applications based on the diesel research data, but the actual working environment exists three problems: (1) Data scattered in different databases and not conducive to business development. (2) The normalization of the diesel terminology is relatively low, affecting the retrieval accuracy. (3) The efficiency of knowledge search is low. This paper aims at the knowledge management and application problem in the diesel research and development process of digital design for vehicle diesel, analyzes the construction demand of the diesel domain ontology, proposed the diesel domain ontology construction method, constructed the diesel domain ontology structure, developed diesel professional ontology model management tool and diesel domain ontology service interface, which provides an organizational framework for information integration to facilitate the accurate and effective transfer between knowledge, data and model. The constraint of the ontology could ensure the accuracy and consistency of information, which could help enterprise improve the accuracy and integrity of the diesel knowledge search. The diesel domain ontology can support the integration of different databases, which could support enterprise technology innovation.

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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TY  - CONF
AU  - Dingguo Sheng
AU  - Zhaohua Chen
AU  - Jibin Hao
AU  - Guijian Xia
AU  - Zhikun Guo
PY  - 2017/05
DA  - 2017/05
TI  - Construction of Diesel Domain Ontology
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1163
EP  - 1173
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.222
DO  - 10.2991/msmee-17.2017.222
ID  - Sheng2017/05
ER  -