Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems

Hua Guo, Kecheng Liu

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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Paper Citation


in Harvard Style

Guo H. and Liu K. (2019). Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 483-487. DOI: 10.5220/0007769904830487


in Bibtex Style

@conference{iceis19,
author={Hua Guo and Kecheng Liu},
title={Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={483-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007769904830487},
isbn={978-989-758-372-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems
SN - 978-989-758-372-8
AU - Guo H.
AU - Liu K.
PY - 2019
SP - 483
EP - 487
DO - 10.5220/0007769904830487