Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IFSA-NAFIPS.2013.6608465 | IFSA World Congress and NAFIPS Annual Meeting |
Keywords | Field | DocType |
data handling,database management systems,pattern matching,SONCA system,big data processing,computational intelligence,data records,database management,deep data,scientific articles,Named Entity Matching,Scientific Document Repositories,Semantic Search/Analytics | Data warehouse,Data modeling,Data administration,Information retrieval,Database model,Data retrieval,Computer science,Database design,Big data,Data model | Conference |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcin Szczuka | 1 | 149 | 12.82 |
| Dominik Ślęzak | 2 | 553 | 50.04 |