Enterprise Map Construction based on EOLN model

Semantic extraction based on key words is essential method to find relationships of entities. Enterprise relations analysis is becoming more and more popular in financial field, because it gives explanation on business processes and decisionmaking reference on investments. Most of previous studies focused on the analysis of specific situations and built relations on targeted enterprises. Hence, there is no method based on key words through decomposing sentence to figure out semantics. In this paper, we adopt EOLN model to build enterprise map ( EM), taking explicit knowledge and implied relations extraction into consideration. Explicit knowledge means the knowledge can be directly found without reasoning, and implied relations need to be generated by reasoning and computation. We perform comprehensive experiments on data set collected from 2515 different companies, and build the complete EM using the key words based relationship extraction. Experimental results validate the robustness of our proposed approach.