Combining Channel Theory, HowNet and Extension Model to Analyze Big Data

Because the diversity of unstructured data has brought new challenges to big data analysis, this paper proposes to combine Channel theory, HowNet and extension model to improve big data analysis ability. The paper proposes a new method to process big data, which is based on the Channel theory idea and HowNet structure, in order to overcome the semantic conflicts of big data. In view of the problems that people are difficult to analyze their big data in order to get profits, the paper proposes a case study to show the effective of our method.