Knowledge representation of competitive intelligence based on decision scenarios

In the big data era, competitive intelligence-related studies should focus not only on technical realization of intelligence collection and analysis, but also on providing knowledge and intellectual support for enterprise core competence. A complete knowledge hierarchy revealing original and common characteristics of CI demands of the firm is extremely critical. This paper demonstrates a knowledge representation method of decision scenarios intelligence from the perspective of enterprise resource integration theory. Based on knowledge element model, all of the decision-scenario intelligence is represented as a triple namely concept-set, attribute-set and relation-set. Meanwhile, the similarity fusion and multi-attribute fusion methods based on knowledge element improve the efficiency of intelligence identification and further optimize the knowledge framework of intelligence. The experiment results verified the feasibility and validity of this study.