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This project describes a model of how the semantic human memory represents the information relevant to the objects of the world in text format.
It provides a system and a GUI application capable of extracting and managing concepts and relations from English texts.
https://aseryla2.sourceforge.io/
This is a Python-based efficient implementation of several semantic similarity measures.
The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).
This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
PyEsp - Enhanced/Evolving/Extensible Semantic Profiling.
This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
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