基于关联数据的机器学习函数OWL本体表示

2016 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2016-06-01 DOI:10.1109/BigDataCongress.2016.48

Jingyuan Xu, Hao Wang, Henry Trimbach

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引用次数: 1

摘要

本文提出了一种使用OWL本体来表示分类器或学习回归函数的方法。还提出了寻找合适的学习函数来回答简单查询的方法。本体对变量名和依赖属性进行了标准化，使得特征值可以由用户给出或在语义web上找到。

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An OWL Ontology Representation for Machine-Learned Functions Using Linked Data

This paper proposes a method to represent classifiers or learned regression functions using an OWL ontology. Also proposed are methods for finding an appropriate learned function to answer a simple query. The ontology standardizes variable names and dependence properties, so that feature values can be given by users or found on the semantic web.

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来源期刊

2016 IEEE International Congress on Big Data (BigData Congress)

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