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Java based framework for extraction information from Arabic text
This project presents a model a for extracting information from Arabic text.
The project executables include three Java based modules that can be used to implement
a rule-based information extraction process from Arabic text.
These modules are:
1-A module for annotating a selected Arabic text file using a custom morpho-syntactic Part-of-Speech
tagging scheme.
2-A module that can be used along with Protégé for establishing Ontology Web Language (OWL) based
ontologies based...
ArOntoLearn a Framework for ArabicOntology learning from textual resources. Supporting Arabic language and using domain knowledge or previous knowledge in the learning process are the main features of our framework.
The goal of this project is to build a very large ontology.
What is intended is a multiple inheritence taxonomy with properties.
Usual ontologies like OpenCyc or ThoughTreasure weights a few megabytes.
The project will build a 100 megabyte ontology.
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