RDF Storage for Semantic Big Data Historian

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

RDF Storage for Semantic Big Data Historian

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

RDF Storage for Semantic Big Data Historian

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

4

Strana od-do

179-182

Název nakladatele

Vydavatel'stvo STU

Místo vydání

Bratislava

Místo konání akce

Smolenice

Datum konání akce

3. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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