RDF Storage for Semantic Big Data Historian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00306607" target="_blank" >RIV/68407700:21730/16:00306607 - isvavai.cz</a>
Result on the web
<a href="https://wikt-daz2016.fiit.stuba.sk/wp-content/uploads/2016/11/WIKT-DaZ-2016_Proceedings.pdf" target="_blank" >https://wikt-daz2016.fiit.stuba.sk/wp-content/uploads/2016/11/WIKT-DaZ-2016_Proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
RDF Storage for Semantic Big Data Historian
Original language description
Nowadays, data acquisition, subsequent processing as well as analytics are gaining importance within the industrial automation domain. We are witnessing the trend of replacing traditional approaches with more capable Big Data methods and paradigms. To exploit this change, we propose so called Semantic Big Data Historian to handle data of larger volume, variety and velocity. Our historian software prototype benefits from ontological data model and from Hadoop platform. In this paper, we describe briefly our implementation of a prototype of such historian software. Next, we introduce possible models of storage layer of our proposed Semantic Big Data Historian with respect to RDF data format. The storage models exploit Distributed File System of the corresponding Big Data framework for storing RDF data. Finally, the proposed and implemented hybrid model is introduced together with the possible extensions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings in Informatics and Information Technologies - (WIKT & DaZ 2016) 11th Workshop on Intelligent and Knowledge Oriented Technologies 35th Conference on Data and Knowledge
ISBN
978-80-227-4619-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
179-182
Publisher name
Vydavatel'stvo STU
Place of publication
Bratislava
Event location
Smolenice
Event date
Nov 3, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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