Query Language for Complex Similarity Queries

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Authors

BUDÍKOVÁ Petra BATKO Michal ZEZULA Pavel

Year of publication 2012
Type Article in Proceedings
Conference Advances in Databases and Information Systems, LNCS 7503
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1007/978-3-642-33074-2_7
Field Informatics
Keywords query language; SQL; similarity search
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.
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