In this project we will develop a prototype system and supporting methods for intelligent ontology-based
information extractioniOBIE. The proposed system will first semantically analyze the given text corpuses, and then automatically
process, merge and enrich revealed entities and relationships. Throughout the system, a semantic dimension of data will be
considered adequately, while the results will be presented as a graph of identified entities and semantic relationships among them.
The system will operate completely autonomously, and will improve after continuous use through active learning.