Knowledge Base Completion

The task of knowledge base completion involves automatically inferring missing information from the existing facts in a knowledge base to enhance its completeness and accuracy. A knowledge base is a collection of relational facts, typically represented as triples in the form of "subject", "relation", "object". This task aims to improve the integrity and precision of the knowledge base through logical reasoning and data mining techniques, thereby enhancing its application value in areas such as intelligent question answering, recommendation systems, and semantic search.