Knowledge extraction is the process of automatically or semi-automatically extracting structured information from unstructured or semi-structured data sources. This data can include text documents, web pages, scientific literature, and more. The goal of knowledge extraction is to transform this unstructured data into a structured format that can be easily analyzed and interpreted. There are various techniques and methods used in knowledge extraction, including natural language processing, machine learning, text mining, and information retrieval. Knowledge extraction can be applied in various fields such as business intelligence, data mining, information retrieval, and knowledge management. Overall, knowledge extraction plays a crucial role in turning raw data into actionable insights and knowledge that can drive informed decision-making and improve business processes.