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Information Extraction has been widely used to extract information from text. Named Entity Recognition (NER) is one of the primary tasks of Information Extraction to extract entities such as person, location, and organization. Extraction from text collection is essential to obtain information from unstructured text. Moreover, Named Entity Recognition is part of ontology building, which is the main objective of this research. Ontology can be built on the basis of a collection of concepts and relation between concepts. Concepts in ontology usually consist of a group of entities and are obtained using Noun Phrase Extraction or Named Entity Recognition. Our main focus in this research is to extract concepts in Ontology Building automatically using Named Entity Recognition. In this paper, Named Entity Recognition was chosen as our approach due to the lack of results from the previous Noun Phrase Extraction works, which is …