Paper Info
Title
Injecting domain knowledge into a granular database engine: a position paper
Abstract
We discuss how to use techniques from such fields as text processing and knowledge management to better handle text attributes in the Infobright's RDBMS engine. Our approach leads to a rich interface for domain experts who wish to share their knowledge about data content and, on the other hand, it remains unnoticeable to data users. It enables to improve data storage, data access, and data compression, with no changes required at the database schema level.
Year
DOI
Venue
2010
10.1145/1871437.1871762
CIKM
Keywords
Field
DocType
text attribute,rdbms engine,data content,position paper,knowledge management,data compression,text processing,granular database engine,injecting domain knowledge,data storage,data access,database schema level,data user,domain knowledge,compression
Data mining,Domain knowledge,Information retrieval,Computer science,Computer data storage,Database schema,Database engine,Relational database management system,Data compression,Data access,Database,Text processing
Conference
Citations 
PageRank 
References 
7
0.56
9
Authors
2
Name
Order
Citations
PageRank
Dominik Ślęzak155350.04
Graham Toppin2202.62