Learning Schema Embeddings for Service Link Prediction: A Coupled Matrix-Tensor Factorization Approach
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DOI: 10.1109/tsc.2025.3541552
Abstract: Schema information is increasingly crucial to improve service discovery, recommendation, and composition, addressing link sparsity and lack of explainability inherent in methods relying solely on triples. However, existing approaches predominantly utilize schema information as a… read more here.
Keywords: tensor factorization; coupled matrix; service; service link ... See more keywords