A Knowledge-based Method of Multilevel Query in Relational Database

DOI

10.2991/iccasm.2012.86How to use a DOI?

Keywords

Knowledge Base, Multilevel Query, Generalized Rule, Relational Database

Abstract

There is a kind of query that users tend to use fuzzy concepts to express the query requirements. In the relational database, the query based on concepts as inputs cannot be directly executed. The basic method converts users’ fuzzy concepts into precise concepts based on the domain knowledge. In practice, a fuzzy condition is often composed of the high and multilevel concepts, so its conversion of the concepts is very complex, and its efficiency is poor. A new knowledge-based method of multilevel query is proposed in this paper, and it is achieved on generalized data. Experiments show that the query efficiency of the method proposed in the paper is better than the basic method on multiple levels. It may provide efficient methods for the query about housing products in rural town, and it can meet the needs of customers with different knowledge, and it has higher practical value.

Copyright

© 2012, 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  - Jingke Xu
AU  - Huanliang Sun
AU  - Yonghui Wang
AU  - Xiaoyu Song
AU  - Shoujin Wang
PY  - 2012/08
DA  - 2012/08
TI  - A Knowledge-based Method of Multilevel Query in Relational Database
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.86
DO  - 10.2991/iccasm.2012.86
ID  - Xu2012/08
ER  -