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ICDE

Research area: 
Databases
Abstract due: 
11.07.2011
Publisher: 
IEEE
Location: 
Washington, USA

ACM Transaction on Database Systems

Research area: 
Databases
Publisher: 
ACM

Nucleic Acids Research

Research area: 
Bioinformatics & Chemoinformatics
Publisher: 
Oxford University Press

GAČR 201/05/P036

Name: 
Efficient metric search in large multimedia databases
Start year: 
2005
End year: 
2007

Finished, rated as excellent

Investigators
Investigator: 
tomas.skopal
Investigator role: 
Principal investigator

GAUK 57907

Name: 
Similarity search in biological databases
Start year: 
2007
End year: 
2008

In recent years volume of gene and protein banks (databases) grows rapidly. The reason for storing huge volumes of gene and protein sequences in one place is not only for browsing these sequences itself, but in the first place searching for similarities among stored sequences. Similar sequences indicate similar functionality which helps in finding functions of unknown genes.

Investigators
Investigator: 
david.hoksza
Investigator role: 
Principal investigator
Investigator: 
tomas.skopal
Investigator role: 
Team member

GAUK 18208

Name: 
Distributed and parallel metric indexing in multimedia databases
Start year: 
2008
End year: 
2009

Current data processing applications use data with considerably less structure and much less precise queries than traditional database systems. The multimedia data, like images or videos, that offer query-by-example search, are a typical example. Such data can neither be ordered in a canonical manner nor meaningfully searched by precise database queries that would return exact matches. This novel situation is what has given rise to a similarity searching.

Investigators
Investigator: 
jakub.lokoc
Investigator role: 
Principal investigator
Investigator: 
tomas.skopal
Investigator role: 
Team member

GAČR 201/09/0683

Name: 
Similarity Searching in Very Large Multimedia Databases
Start year: 
2009
End year: 
2011

Finished, rated as excellent

Investigators
Investigator: 
tomas.skopal
Investigator role: 
Co-Investigator

GAČR P202/11/0968

Name: 
Large-scale Nonmetric Similarity Search in Complex Domains
Start year: 
2011
End year: 
2014

The similarity search is popular in various areas of computing, including multimedia databases, data mining, bioinformatics, etc. For a long time, the database approaches to similarity search assumed the similarity as a metric distance. Due to its properties, metric similarity allows to index a database such that it can be queried efficiently (quickly). However, together with the increasing complexity of data across various domains, there appeared many similarities in recent years that were not metrics (i.e., nonmetrics).

Investigators
Investigator: 
tomas.skopal
Investigator role: 
Principal investigator
Investigator: 
david.hoksza
Investigator role: 
Team member
Investigator: 
jakub.lokoc
Investigator role: 
Team member
Investigator: 
jiri.novak
Investigator role: 
Team member
Investigator: 
juraj.mosko
Investigator role: 
Team member
Investigator: 
tomas.bartos
Investigator role: 
Team member

GAUK 430711

Name: 
Application of Metric and Non-metric Indexing Methods in Computational Proteomics
Start year: 
2011
End year: 
2012

The volume of unstructured databases grows extremely whereas its annotation is problematic. The similarity search concept based on a similarity function defined for each pair of database objects is more suitable for this kind of data. The similarity is usually modelled by a distance function satisfying metric axioms, which allows efficient indexing. However, metric axioms can be very restrictive for domain experts who may prefer non-metric functions.

Investigators
Investigator: 
jakub.galgonek
Investigator role: 
Principal investigator
Investigator: 
tomas.skopal
Investigator role: 
Team member
Investigator: 
jiri.novak
Investigator role: 
Team member
Investigator: 
jakub.lokoc
Investigator role: 
Team member

Tomáš Skopal (head)

Name: 
Tomáš
Surname: 
Skopal (head)
Homepage: 
http://siret.ms.mff.cuni.cz/skopal
Research interests: 
  • similarity search in metric and nonmetric spaces
  • multimedia databases
  • database indexing
  • information retrieval
Type of member: 
Staff
State: 
Active

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