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;
[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.
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