DocumentCode
3166222
Title
How deep data becomes big data
Author
Szczuka, Marcin ; Slezak, Dominik
Author_Institution
Inst. of Math., Univ. of Warsaw, Warsaw, Poland
fYear
2013
fDate
24-28 June 2013
Firstpage
579
Lastpage
584
Abstract
We present some problems and solutions for situations when compound and semantically rich nature of data records, such as scientific articles, creates challenges typical for big data processing. Using a case study of named entity matching in SONCA system we show how big data problems emerge and how they are solved by bringing together methods from database management and computational intelligence.
Keywords
data handling; database management systems; pattern matching; SONCA system; big data processing; computational intelligence; data records; database management; deep data; scientific articles; Compounds; Data handling; Data storage systems; Indexes; Information management; Semantics; Named Entity Matching; Scientific Document Repositories; Semantic Search/Analytics;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608465
Filename
6608465
Link To Document