Similarity Searching for the Big Data Challenges and Research
Objectives

J 2015

Similarity Searching for the Big Data Challenges and Research Objectives

ZEZULA, Pavel

Základní údaje

Originální název

Similarity Searching for the Big Data Challenges and Research Objectives

Autoři

ZEZULA, Pavel (203 Česká republika, garant, domácí)

Vydání

MOBILE NETWORKS & APPLICATIONS, DORDRECHT, SPRINGER, 2015, 1383-469X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Čína

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 1.538

Kód RIV

RIV/00216224:14330/15:00087421

Organizační jednotka

Fakulta informatiky

DOI

https://doi.org/10.1007/s11036-014-0547-2

UT WoS

000360003900010

EID Scopus

2-s2.0-84939572303

Klíčová slova anglicky

Big data; Scalability; Information retrieval; Similarity search; Findability; Data outsourcing; Data privacy; Information extraction

Změněno: 6. 5. 2016 06:02, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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 them findable. 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 similarity search structures for multi-modal and privacy-preserving searching are necessary to achieve a scalable similarity search technology able to operate on Big Data.

Návaznosti

GBP103/12/G084, projekt VaV

Název: Centrum pro multi-modální interpretaci dat velkého rozsahu

Investor: Grantová agentura ČR, Centrum pro multi-modální interpretaci dat velkého rozsahu

Citovat

ZEZULA, Pavel. Similarity Searching for the Big Data Challenges and Research Objectives. MOBILE NETWORKS & APPLICATIONS. DORDRECHT: SPRINGER, 2015, roč. 20, č. 4, s. 487-496. ISSN 1383-469X. Dostupné z: https://doi.org/10.1007/s11036-014-0547-2.

@article{1344376,
   author = {Zezula, Pavel},
   article_location = {DORDRECHT},
   article_number = {4},
   doi = {https://doi.org/10.1007/s11036-014-0547-2},
   keywords = {Big data; Scalability; Information retrieval; Similarity search; Findability; Data outsourcing; Data privacy; Information extraction},
   language = {eng},
   issn = {1383-469X},
   journal = {MOBILE NETWORKS & APPLICATIONS},
   title = {Similarity Searching for the Big Data Challenges and Research Objectives},
   volume = {20},
   year = {2015}
}

TY  - JOUR
ID  - 1344376
AU  - Zezula, Pavel
PY  - 2015
TI  - Similarity Searching for the Big Data Challenges and Research Objectives
JF  - MOBILE NETWORKS & APPLICATIONS
VL  - 20
IS  - 4
SP  - 487-496
EP  - 487-496
PB  - SPRINGER
SN  - 1383469X
KW  - Big data
KW  - Scalability
KW  - Information retrieval
KW  - Similarity search
KW  - Findability
KW  - Data outsourcing
KW  - Data privacy
KW  - Information extraction
N2  - 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 them findable. 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 similarity search structures for multi-modal and privacy-preserving searching are necessary to achieve a scalable similarity search technology able to operate on Big Data.
ER  -

ZEZULA, Pavel. Similarity Searching for the Big Data Challenges and Research Objectives. \textit{MOBILE NETWORKS \&{} APPLICATIONS}. DORDRECHT: SPRINGER, 2015, roč.~20, č.~4, s.~487-496. ISSN~1383-469X. Dostupné z: https://doi.org/10.1007/s11036-014-0547-2.

Přehled o publikaci