Relational algebra for multi-ranked similarity-based databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33148383" target="_blank" >RIV/61989592:15310/13:33148383 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FOCI.2013.6602448" target="_blank" >http://dx.doi.org/10.1109/FOCI.2013.6602448</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FOCI.2013.6602448" target="_blank" >10.1109/FOCI.2013.6602448</a>
Alternative languages
Result language
angličtina
Original language name
Relational algebra for multi-ranked similarity-based databases
Original language description
We present multi-ranked relational model of data which extends the classic Codd's model by considering similarity relations on domains and ranks assigned to values of tuples. The ranks represent degrees to which values in tuples match similarity-based queries. Unlike various single-ranked similarity-based database models where ranks are assigned to whole tuples, in the present model the ranks are assigned to tuple values. As a consequence, the multi-ranked model allows users to directly observe how values in tuples contribute to results of similarity-based queries. We present foundations of the model, relational operations and relational algebra as the primary query language, and its relationship to single-ranked models which have been used in the past. We argue that the multi-ranked model is more suitable for applications in which data analysts require a finer view on results of queries than in the single-ranked model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP103%2F11%2F1456" target="_blank" >GAP103/11/1456: Foundations of Similarity-Based Data Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Foundations of Computational Intelligence (FOCI), 2013 IEEE Symposium on
ISBN
978-1-4673-5900-9
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Singapur
Event location
Singapur, Singapur
Event date
Apr 16, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—