Scalable Similarity Search for Big Data - Challenges and Research Objectives
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00080758" target="_blank" >RIV/00216224:14330/15:00080758 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16868-5_1" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16868-5_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16868-5_1" target="_blank" >10.1007/978-3-319-16868-5_1</a>
Alternative languages
Result language
angličtina
Original language name
Scalable Similarity Search for 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. Four specific research objectives to tackle the challenges are outlined and discussed. It is believed that a relevant solution of these problems is necessary for a scalable similarity search operating on Big Data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
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)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Scalable Information Systems - 5th International Conference
ISBN
9783319168678
ISSN
1867-8211
e-ISSN
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Number of pages
10
Pages from-to
3-12
Publisher name
Springer
Place of publication
Berlin
Event location
Seoul
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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