Dynamic Network Analysis Architecture for Heterogenenous
Unstructured Text Data

D 2014

Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data

TOTH, Dalibor a Jaroslav RÁČEK

Základní údaje

Originální název

Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data

Autoři

TOTH, Dalibor a Jaroslav RÁČEK

Vydání

Frýdek-Místek, Proceedings of the 17th International Conference on Information Technology for Practice 2014, od s. 263-270, 8 s. 2014

Nakladatel

Ostrava: VŠB - Technical University of Ostrava, Faculty of Economics

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/14:00080014

Organizační jednotka

Fakulta informatiky

ISBN

978-80-248-3555-6

Klíčová slova anglicky

social data analysis architectures; big data; homeland security; unstructured text analysis

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 4. 2015 04:57, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

There are several analytical tools for data processing with different aims in different domains, analyzing specific data by specific algorithms, providing new views of data. These tools are usually narrowly focused on analysis part, but the whole process is more complex than just algorithm of specific analysis. This paper provides survey and describes basic four layer architecture of complex analytical tools. Based on survey findings we introduce concept of new architecture of social network analysis based knowledge base of unstructured text data. The tool will be used in project in homeland security domain, provided by the Ministry of Interior of the Czech Republic.

Citovat

TOTH, Dalibor a Jaroslav RÁČEK. Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data. In MINISTR, J. and TVRDIKOVA, M. Proceedings of the 17th International Conference on Information Technology for Practice 2014. Frýdek-Místek: Ostrava: VŠB - Technical University of Ostrava, Faculty of Economics, 2014, s. 263-270. ISBN 978-80-248-3555-6.

@inproceedings{1297283,
   author = {Toth, Dalibor and Ráček, Jaroslav},
   address = {Frýdek-Místek},
   booktitle = {Proceedings of the 17th International Conference on Information Technology for Practice 2014},
   editor = {MINISTR, J. and TVRDIKOVA, M.},
   keywords = {social data analysis architectures; big data; homeland security; unstructured text analysis},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Frýdek-Místek},
   isbn = {978-80-248-3555-6},
   pages = {263-270},
   publisher = {Ostrava: VŠB - Technical University of Ostrava, Faculty of Economics},
   title = {Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data},
   year = {2014}
}

TY  - CONF
ID  - 1297283
AU  - Toth, Dalibor - Ráček, Jaroslav
PY  - 2014
TI  - Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data
PB  - Ostrava: VŠB - Technical University of Ostrava, Faculty of Economics
CY  - Frýdek-Místek
SN  - 9788024835556
KW  - social data analysis architectures
KW  - big data
KW  - homeland security
KW  - unstructured text analysis
N2  - There are several analytical tools for data processing with different aims in different domains, analyzing specific data by specific algorithms, providing new views of data. These tools are usually narrowly focused on analysis part, but the whole process is more complex than just algorithm of specific analysis. This paper provides survey and describes basic four layer architecture of complex analytical tools. Based on survey findings we introduce concept of new architecture of social network analysis based knowledge base of unstructured text data. The tool will be used in project in homeland security domain, provided by the Ministry of Interior of the Czech Republic.
ER  -

TOTH, Dalibor a Jaroslav RÁČEK. Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data. In MINISTR, J. and TVRDIKOVA, M. \textit{Proceedings of the 17th International Conference on Information Technology for Practice 2014}. Frýdek-Místek: Ostrava: VŠB - Technical University of Ostrava, Faculty of Economics, 2014, s.~263-270. ISBN~978-80-248-3555-6.

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