The relational model for database management: version 2
The relational model for database management: version 2
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
SQL multimedia and application packages (SQL/MM)
ACM SIGMOD Record
WS-QBE: A QBE-Like Query Language for Complex Multimedia Queries
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Seamlessly integrating similarity queries in SQL
Software—Practice & Experience
MESSIF: metric similarity search implementation framework
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
A query language for similarity-based retrieval of multimedia data
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
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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.