Multi-source heterogeneous big data fusion system based on large-scale popularization of traditional Chinese medicine knowledge

Abstract

The invention discloses a multi-source heterogeneous big data fusion system based on large-scale popularization of traditional Chinese medicine knowledge. The multi-source heterogeneous big data fusion system comprises a data import module, a data processing module and a data fusion analysis module, the data importing module is used for importing multi-source heterogeneous data based on traditional Chinese medicine knowledge into a data warehouse; the data processing module is used for converting data in the data warehouse into structured associated data and statistical analysis result data; the data fusion analysis module is used for processing the structured association data and the statistical analysis result data by means of a data model to obtain a data report, instant query, data analysis and data mining results; wherein the multi-source heterogeneous data comprises real-time data and non-real-time data from at least one field of traditional Chinese medicine, network space, social media, educational training and medicinal material marketing. The method can meet the application requirements of small and medium-sized entity mechanisms for big data, and facilitates large-scale popularization of knowledge in the traditional Chinese medicine industry.

Description

【Technical field】 [0001] The invention relates to a multi-source heterogeneous data fusion system, in particular to a multi-source heterogeneous big data fusion system based on the large-scale popularization of traditional Chinese medicine knowledge. 【Background technique】 [0002] At present, various entities, including Chinese medicine schools, Chinese medicine hospitals, herbal pharmacies, medicinal material suppliers, partners and third-party developers, are generating exponential growth in the amount of data each year, and their information resources are doubling. Enterprise decision-makers have realized that data is the core asset of entities, and expect to store and mine data to achieve asset value preservation and even value-added purposes. However, traditional information resource management, integration, and application technologies are no longer able to meet the challenges of the big data era. When faced with massive, multi-source, heterogeneous, and real-time bi...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to overcome the lack of corresponding technical ability and experience to carry out complex Therefore, it is impossible to support the application assumptions of various traditional Chinese medicine entities on big data, and it is also difficult to realize the large-scale popularization of knowledge in the traditional Chinese medicine industry. It provides a solution that can meet the needs of diversified applications in the field of traditional Chinese medicine and is beneficial to Chinese medicine. A multi-source heterogeneous big data fusion system based on the large-scale popularization of knowledge in the pharmaceutical industry and based on the large-scale popularization of traditional Chinese medicine knowledge

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