Toward full-text searching middleware over hierarchical documents

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092757" target="_blank" >RIV/61989100:27240/14:86092757 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86092757

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ISDA.2013.6920734" target="_blank" >http://dx.doi.org/10.1109/ISDA.2013.6920734</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISDA.2013.6920734" target="_blank" >10.1109/ISDA.2013.6920734</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Toward full-text searching middleware over hierarchical documents

Popis výsledku v původním jazyce

Currently, full-text searching can benefit from the emerging NoSQL databases and traditional indexing tools in the big data era. However, there are some drawbacks of current solutions. On one hand, the indexing documents lack of the hierarchy. On the other hand, big data have become the bottleneck of full-text searching. In the context of big data, we design a full-text searching middleware over hierarchical documents. We discuss the architecture of this middleware in detail. In addition, we propose a structure-independent hierarchical document model to present the hierarchical document. Moreover, the transformation engine is designed to translate the rich files into models. The core log event listener is responsible for capturing the changed documentsand push them to the indexing storage at the same time. The experimental results show that our middleware is more advantageous than RDBMS with indexes and RDBMS with Lucene solutions.

Název v anglickém jazyce

Toward full-text searching middleware over hierarchical documents

Popis výsledku anglicky

Currently, full-text searching can benefit from the emerging NoSQL databases and traditional indexing tools in the big data era. However, there are some drawbacks of current solutions. On one hand, the indexing documents lack of the hierarchy. On the other hand, big data have become the bottleneck of full-text searching. In the context of big data, we design a full-text searching middleware over hierarchical documents. We discuss the architecture of this middleware in detail. In addition, we propose a structure-independent hierarchical document model to present the hierarchical document. Moreover, the transformation engine is designed to translate the rich files into models. The core log event listener is responsible for capturing the changed documentsand push them to the indexing storage at the same time. The experimental results show that our middleware is more advantageous than RDBMS with indexes and RDBMS with Lucene solutions.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications (ISDA 2013) : Universiti Putra Malaysia, Malaysia, 08-10 December, 2013

ISBN

978-1-4799-3516-1

ISSN

—

e-ISSN

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Počet stran výsledku

5

Strana od-do

194-198

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Serdang, Selangor

Datum konání akce

8. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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