Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems

Hua Guo, Kecheng Liu
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引用次数: 1

Abstract

In the context of the development of AI algorithms in natural language processing, tremendous progress has been made in knowledge abstraction and semantic reasoning. However, for answering the questions with complex logic, AI system is still in an early stage. Hierarchical ontology graph is proposed to establish analysis threads for the complex question in order to facilitate AI system to further support in business decision making. The study of selecting the appropriate corpora is intended to improve the data asset management of enterprises.
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基于层次本体图的决策支持系统语义问题求解
在自然语言处理领域人工智能算法发展的背景下,在知识抽象和语义推理方面取得了巨大的进步。然而,对于回答具有复杂逻辑的问题,人工智能系统仍处于早期阶段。提出层次本体图,为复杂问题建立分析线索,便于人工智能系统进一步支持业务决策。研究如何选择合适的语料库,是为了提高企业的数据资产管理水平。
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