Title :
How deep data becomes big data
Author :
Szczuka, Marcin ; Slezak, Dominik
Author_Institution :
Inst. of Math., Univ. of Warsaw, Warsaw, Poland
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;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608465
