@article{sematch-gsi-article-2017,
author = "Zhu, Ganggao and Iglesias, Carlos A.",
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.",
awards = "JCR Q1 (3.325)",
comments = "JCR 2017 Q1 4.396, SJR 2017 Q1 1.378, Scopus 2017 Q1 8.6",
journal = "Knowledge-Based Systems",
keywords = "semantic similarity;taxonomy;knowledge graph;sematch",
month = "September",
note = "JCR Q1 (3.325)",
title = "{S}ematch: {S}emantic {S}imilarity {F}ramework for {K}nowledge {G}raphs",
url = "http://www.sciencedirect.com/science/article/pii/S0950705117302447",
year = "2017",
}