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CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins.
EmployeesProfileViewer is my MSc final project. Consists of an application to represent the employees of an organization in a graphic map according to personal skills, using their evaluations on the different competences which the company needs.
This software generates a graphical representation of the employees in a 2D map of coordinates, that pojects each worker as a figure in the map. The geometric characteristics of each one of these shapes will tell us how are the skills of the...
Solving the travelling salesman problem with genetic (evolutionary) algorithms. The distance calculations are based on geographical coordinates. The progress of the algorithm is visualized with a geo-map and some statistics.
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