Abstract:
Ontology Guided Semantic Self Learning Framework is a software which is capable of learning from natural language sources. Knowledge extraction process is performed by modeling ontology from the natural language text. The system uses its acquired knowledge to perform teaching and explaining activities to its end users. Self-learning and question based learning modules are two main modules of the system. Semantic learning module captures the knowledge from the text and represents them in an ontology based environment. Question based learning system performs teaching activities to end users. The Natural language learning process achieved seventy percent accuracy while ontology construction process achieved over sixty five percent of accuracy. The research solved
the problem of lack of understanding and capturing the knowledge from Natural Language sources and represents the captured knowledge in an automated and efficient manner. It
introduced a novel approach of knowledge capturing from unstructured natural language text.
