Ontology Reasoning for Financial Affairs with RBR and CBR

doi:10.11925/infotech.2096-3467.2018.1137

Data Analysis and Knowledge Discovery

2019, Vol. 3

Issue (8): 94-104 DOI: 10.11925/infotech.2096-3467.2018.1137

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Ontology Reasoning for Financial Affairs with RBR and CBR

Shaohua Qiang¹(

),Yunlu Luo²,Yupeng Li¹,Peng Wu³

¹School of Economics and Management, Nanjing Tech University, Nanjing 211800, China
²School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China
³School of Economics and Management, Nanjing University of Science &Technology, Nanjing 210094, China;

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Abstract

[Objective] This paper tries to predict the impacts of financial events/news on stock price with financial, non-financial and public opinion factors. [Methods] We designed a financial affairs ontology based on the Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). Then, we created a SWRL rule-based reasoning model, which pursued the rule-based reasoning using the Dloors engine. Thirdly, we designed a topic case database to describe the structure of the financial cases. Finally, we used the model to describe, retrieve, reuse, correct and preserve the data. [Results] We conducted an empirical study to examine the reliability of rule-based reasoning and case-based reasoning with enterprise data. [Limitations] We did not compare our model with the existing methods. [Conclusions] The proposed method could predict the stock price in big data environment.

Key words： Financial Affairs Ontology Rule-Based Reasoning Case-Based Reasoning Stock Price Forecast

Received: 16 October 2018 Published: 29 September 2019

ZTFLH:

TP393 G35

Corresponding Authors: Shaohua Qiang E-mail: shaohua3900@163.com

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Cite this article:

Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR. Data Analysis and Knowledge Discovery, 2019, 3(8): 94-104.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.1137 OR https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I8/94

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