Technologies for Enrich Knowledge Warehouse for Solving Problems of Technology Forecasting and Research of Critical Infrastructures

DOI

10.2991/iwci-18.2018.16How to use a DOI?

Keywords

Big Data, technology forecasting, knowledge and data warehouse, critical infrastructures, ontologies, Porter Stemmer.

Abstract

The article considers scientific and technological forecasting as part of the intelligent energy system, as well as research of critical infrastructures in the field of energy. The task of creating a data warehouse and knowledge for the system described above is discussed in more detail. The advantages of the Big Data technology for solving this problem are given.

Copyright

© 2018, 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  - Elena Khayrullina
PY  - 2018/08
DA  - 2018/08
TI  - Technologies for Enrich Knowledge Warehouse for Solving Problems of Technology Forecasting and Research of Critical Infrastructures
BT  - Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018)
PB  - Atlantis Press
SP  - 89
EP  - 93
SN  - 1951-6851
UR  - https://doi.org/10.2991/iwci-18.2018.16
DO  - 10.2991/iwci-18.2018.16
ID  - Khayrullina2018/08
ER  -