Similarity Searching for the Big Data Challenges and Research Objectives

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00087421" target="_blank" >RIV/00216224:14330/15:00087421 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/s11036-014-0547-2" target="_blank" >http://dx.doi.org/10.1007/s11036-014-0547-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11036-014-0547-2" target="_blank" >10.1007/s11036-014-0547-2</a>

Result language

angličtina

Original language name

Similarity Searching for the Big Data Challenges and Research Objectives

Original language description

Analysis of contemporary Big Data collections require an effective and efficient content-based access to data which is usually unstructured. This first implies a necessity to uncover descriptive knowledge of complex and heterogeneous objects to make themfindable. Second, multimodal search structures are needed to efficiently execute complex similarity queries possibly in outsourced environments while preserving privacy. After explaining the impacts of Big Data on similarity searching and summarizing the state of the art in the search technology, four specific research objectives to tackle the challenges are outlined and discussed. It is believed that effective and efficient processing of raw data for object findability and developing hybrid similaritysearch structures for multi-modal and privacy-preserving searching are necessary to achieve a scalable similarity search technology able to operate on Big Data.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

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

Name of the periodical

MOBILE NETWORKS & APPLICATIONS

ISSN

1383-469X

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

4

Country of publishing house

CN - CHINA

Number of pages

10

Pages from-to

487-496

UT code for WoS article

000360003900010

EID of the result in the Scopus database

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