Semantic Caching for Querying Data Warehouses in Applications

DOI

10.2991/meita-16.2017.38How to use a DOI?

Keywords

Semantic Cache, Query Processing, Data Warehouse, Response Time

Abstract

This document presents three-tier architecture for data warehousebased Online AnalysisSystems in some applications. To improve the performance, semantic caching is introduced and implementedin the middle tier. The query results are cached together with semantic descriptions such that that next time similar queries can be completely or partially satisfied from the cache instead of the data warehouse. Thus, the communications with the data warehouse are significantly reduced. As a result, the overall response time is improved.

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  - Shuchun Yao
PY  - 2017/02
DA  - 2017/02
TI  - Semantic Caching for Querying Data Warehouses in Applications
BT  - Proceedings of the 2016 2nd International Conference on Materials Engineering and Information Technology Applications (MEITA 2016)
PB  - Atlantis Press
SP  - 173
EP  - 181
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-16.2017.38
DO  - 10.2991/meita-16.2017.38
ID  - Yao2017/02
ER  -