Extracting Semantic-preserved Ontology from Relational Database

DOI

10.2991/icmemtc-16.2016.228How to use a DOI?

Keywords

ontology extraction; relational database; semantic preserved.

Abstract

To solve the problems that ontology is lack of semantic information in ontology extraction, the advantages and disadvantages of methods that building ontology from database are analyzed and we find that the maximum semantic ability of ER model is ALUIN. On the base of our research, a method of extracting semantic-preserved ontology is proposed. The method is the base of ontology storage and query. The experiment shows that our algorithm can preserve the semantic meaning and has the low complexity.

Copyright

© 2016, 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  - Songqing Wang
AU  - Zhuang Miao
AU  - Yingpeng Du
AU  - Yang Li
AU  - Jiabao Wang
PY  - 2016/04
DA  - 2016/04
TI  - Extracting Semantic-preserved Ontology from Relational Database
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1149
EP  - 1152
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.228
DO  - 10.2991/icmemtc-16.2016.228
ID  - Wang2016/04
ER  -