Detailed Information on Publication Record
2007
MESSIF: Metric Similarity Search Implementation Framework
BATKO, Michal, David NOVÁK and Pavel ZEZULABasic information
Original name
MESSIF: Metric Similarity Search Implementation Framework
Name in Czech
MESSIF: Implementační infrastruktura pro metrické podobnostní vyhledávání
Authors
BATKO, Michal (203 Czech Republic, guarantor, belonging to the institution), David NOVÁK (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
Pisa, Italy, DELOS Conference 2007 - Working Notes, p. 11-23, 13 pp. 2007
Publisher
Information Society Technologies
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Italy
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/07:00019369
Organization unit
Faculty of Informatics
ISBN
2-912335-30-2
UT WoS
000252882500001
Keywords in English
Similarity Search; Metric Space; Implementation; Data Structure; Structured Peer-to-Peer Networks; Java
Tags
Tags
International impact, Reviewed
Změněno: 17/9/2013 08:55, RNDr. David Novák, Ph.D.
V originále
The similarity search has become a fundamental computational task in many applications. One of the mathematical models of the similarity - the metric space - has drawn attention of many researchers resulting in several sophisticated metric-indexing techniques. An important part of a research in this area is typically a prototype implementation and subsequent experimental evaluation of the proposed data structure. This paper describes an implementation framework called MESSIF that eases the task of building such prototypes. It provides a number of modules from basic storage management to automatic collecting of performance statistics. Due to its open and modular design it is also easy to implement additional modules if necessary. The MESSIF also offers several ready-to-use generic clients that allow to control and test the index structures and also measure its performance.
In Czech
Podobnostní vyhledávání se stalo pro mnoho aplikací fundamentálním úkolem. Metrický prostor je jedním z matematických modelů podobnosti. MESSIF je rozsáhlá modulární knihovna podporující vývoj a testování datových a indexačních struktur (i distribuovaných) pro podobnostní vyhledávání v metrických prostorech.
Links
GD102/05/H050, research and development project |
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1ET100300419, research and development project |
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