Dynamic Network Analysis Architecture for Heterogenenous
Unstructured Text Data

D 2014

Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data

TOTH, Dalibor and Jaroslav RÁČEK

Basic information

Original name

Dynamic Network Analysis Architecture for Heterogenenous Unstructured Text Data

Authors

TOTH, Dalibor (203 Czech Republic, guarantor, belonging to the institution) and Jaroslav RÁČEK (203 Czech Republic, belonging to the institution)

Edition

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

Publisher

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

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/14:00080014

Organization unit

Faculty of Informatics

ISBN

978-80-248-3555-6

Keywords in English

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

Abstract

In the original language

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.

Cite

TOTH, Dalibor and 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, p. 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 and 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, p.~263-270. ISBN~978-80-248-3555-6.

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