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Project Summary

  Analyzed 7 days ago based on code collected 7 days ago.

Synopsis:

Similarity search is required in many areas. For example, music matching and binary program matching require a similarity search engine. Nowadays, it is common to hear news of projects like "photosynth" that heavily rely on similarity search. OBSearch is a similarity search engine that can help you to create an interesting and new application!

Features:

Single-computer or distributed mode. (1)

Designed to handle efficiently heavy objects (trees, graphs).

Code generation for each primitive datatype (byte, short, int, long, float, double) for maximum performance. The API is compact and easy to understand. Stability and scalability: OBSearch's secondary storage backend is Oracle's Berkeley DB. An extensive test suite makes sure that data integrity is preserved.

Cutting edge: We strive to put together the latest algorithms the scientific community has to offer. For example, we use the K-means++ algorithm in one of our indexes.

OBSearch can live on top of any B-Tree (or anything that allows range queries for one dimension). For example, Amazon's cloud service SimpleDB http://www.amazon.com/gp/browse.html?node=342335011 OBSearch's homepage is: http://obsearch.berlios.de/

This project started as part of Google Summer of Code 2007. The mentoring organization was Portland State University.

Technicalities:

Available indexes:

IDistance

Extended Pyramid Technique P+Tree D-Index (with rho=0) K-nn graph (1) The first version 0.7-GSOC supports distributed access by JXTA. Right now, we are evaluating the distributed technology we will employ in the future.

Mailing lists: Announce: http://groups.google.com/group/obsearch-announce Users: http://groups.google.com/group/obsearch-users Dev: http://groups.google.com/group/obsearch-developers

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In a Nutshell, obsearch...

Languages

Java
83%
XML
13%
5 Other
4%
 
 

Lines of Code

 

Activity

30 Day Summary

Mar 29 2015 — Apr 28 2015

12 Month Summary

Apr 28 2014 — Apr 28 2015

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