@article{(Open Science Index):https://publications.waset.org/pdf/10011585,
	  title     = {An Ontology for Investment in Chinese Steel Company},
	  author    = {Liming Chen and  Baoxin Xiu and  Zhaoyun Ding and  Bin Liu and  Xianqiang Zhu},
	  country	= {},
	  institution	= {},
	  abstract     = {In the era of big data, public investors are faced with more complicated information related to investment decisions than ever before. To survive in the fierce competition, it has become increasingly urgent for investors to combine multi-source knowledge and evaluate the companies’ true value efficiently. For this, a rule-based ontology reasoning method is proposed to support steel companies’ value assessment. Considering the delay in financial disclosure and based on cost-benefit analysis, this paper introduces the supply chain enterprises financial analysis and constructs the ontology model used to value the value of steel company. In addition, domain knowledge is formally expressed with the help of Web Ontology Language (OWL) language and SWRL (Semantic Web Rule Language) rules. Finally, a case study on a steel company in China proved the effectiveness of the method we proposed.
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {14},
	  number    = {11},
	  year      = {2020},
	  pages     = {1099 - 1104},
	  ee        = {https://publications.waset.org/pdf/10011585},
	  url   	= {https://publications.waset.org/vol/167},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 167, 2020},