Metric Similarity Search Implementation Framework (MESSIF)

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Authors	BATKO Michal NOVÁK David DOHNAL Vlastislav
Year of publication	2006
MU Faculty or unit	Faculty of Informatics
Description	This implementation framework called MESSIF eases the task of building metric-based similarity-searching prototypes. It provides a number of modules from 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.
Related projects:	Integrated approach to education of PhD students in the area of parallel and distributed systems Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)