Query Language for Complex Similarity Queries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057802" target="_blank" >RIV/00216224:14330/12:00057802 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33074-2_7" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33074-2_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33074-2_7" target="_blank" >10.1007/978-3-642-33074-2_7</a>
Alternative languages
Result language
angličtina
Original language name
Query Language for Complex Similarity Queries
Original language description
For complex data types such as multimedia, traditional data management methods are no longer suitable. Instead of attribute matching approaches, access methods based on object similarity are becoming popular in many applications. Nowadays, efficient methods for similarity search are already available, but using them to build an actual search system still requires specialists that tune the methods and build the system. In this paper, we propose a novel query language that generalizes existing solutions and allows to formulate content-based queries in a flexible way, supporting various advanced query operations such as similarity joins, reverse nearest neighbor queries, or distinct kNN queries, as well as multi-object and multi-modal queries. The language is primarily designed to be used with the MESSIF ? a framework for content-based searching ? but can be employed by other retrieval systems as well.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Databases and Information Systems, LNCS 7503
ISBN
9783642330735
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
85-98
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Poznan, Polsko
Event date
Sep 17, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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