Modern information system is moving from data processing towards concept processing. Semantic web Technologies offer a new approach to manage information and processes by adding meaning to the data. Ontology is a structure where knowledge about a particular domain is described by relevant concepts and relations between them. Ontology learning refers to the task of automatically creating ontology by extracting concepts and relationships from the given data set. Manual method of ontology construction is expensive and time consuming. So the aim of this research is to automate the process of ontology building by using the techniques of ontology learning . The various issues addressed regarding the automated learning include use of Semantic annotations and use of Controlled Language for Information Extraction (CLIE) which is a subset of natural language. Natural language processing and machine learning techniques can be useful in order to build ontologies in semiautomatic way.

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Semantic Web Technology Ontology Learning Natural Language Processing controlled Language Information Extraction (clie).