Sematch: Semantic Similarity Framework for Knowledge Graphs

Ganggao Zhu & Carlos A. Iglesias. (2017). Sematch: Semantic Similarity Framework for Knowledge Graphs. Knowledge-Based Systems.

Abstract:
Sematch is an integrated framework for the development, evaluation and application of semantic similarity in Knowledge Graphs (KGs). The framework provides a number of similarity datasets and tools, and allow users to interact with KGs.
JCR Q1 (3.325)