A vast web of information i.e. Knowledge forms the backbone of intelligent systems. Unstructured data poses challenges in terms of information retrieval, scalability and semantic ambiguity. Possible solutions for many tasks including question answering system, recommendation and information retrieval rely on structured information. The existing representations of knowledge are time consuming. Representation of knowledge in the form of a knowledge graph helps to retrieve information along with relations. It helps to represent entities and relations with high reusability, and reliability. This paper focuses on efficient information retrieval through extraction of entities and relations for the construction of a knowledge graph. An efficient representation of knowledge captures information dynamically and keeps re-purposing itself to provide new insights and inferences which is a key to analyze big data.