BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization

In three linesBoxLitE is a knowledge base embedding model for DL-Lite^H using convex optimization. It maps concepts to convex regions in vector space to represent ontological hierarchies. For any satisfiable DL-Lite^H KB, BoxLitE produces a weakly faithful embedding.

Summary generated by Claude — human-verified