Open Knowledge Graph Canonicalization

Open Knowledge Graph Canonicalization refers to the process of identifying and merging equivalent entities and relationships to eliminate redundancy and ambiguity in an open knowledge graph, thereby enhancing the consistency and accuracy of knowledge representation. This task aims to optimize large-scale open information extraction methods for building knowledge bases, improving their effectiveness in semantic understanding and data integration applications.