Analysis of gradient descent ontology iterative algorithm for geological setting

摘要

AbstractAs a computational tool, ontology has wide applications in information retrieval and other disciplines. Ontology concept similarity calculation is an essential problem in these applications. In this paper, the focus is on the ontology setting such that the ontology function maps every vertex in graph into a real value. And the similarity between vertices is measured by the difference of their corresponding scores. We propose the gradient descent ontology algorithm for this setting, and the learning rates with general convex losses are determined.