Building a Robust Knowledge Base with NLP

Building a robust knowledge base in NLP involves creating a correct taxonomy to extract information efficiently. This approach leads to better data quality, reduced noise, and quicker identification of relevant information by utilizing defined labels, hierarchy, relationships, contextualization, and IRIs or URIs.