A Natural Language-like Semantic Information Extraction Method and System Based on Combination Theory

Abstract

The invention discloses a combination theory based quasi natural language semantic information extraction method and system. The method includes that an advanced semantic analysis technology is applied, web-based big data are subjected to deep analyzing and mining, information with business values is mined from a huge number of the web data and can be applied to business intelligence services of small and medium-sized enterprises, business intelligence services and product precision marketing services on aspects of forecasting market demand changes, predicting competitor actions, discovering new and potential competitors, supporting technical development decisions, supporting marketing tactical decisions and the like are supplied for the small and medium-sized enterprises, enterprise business intelligence acquisition costs are greatly reduced, capacity for information acquisition is improved, and competitiveness of the enterprises is greatly improved.

Description

technical field [0001] The invention relates to the field of data network technology, in particular to a method and system for extracting semantic information similar to natural language based on combination theory. Background technique [0002] As the degree of informatization continues to deepen, enterprises are increasingly eager for "big data" analysis services; the continuous growth of information resources on the Internet contains a huge amount of information with commercial value, and has become an important source of information for business intelligence services. At present, the industry's main focus on "big data" is still the data within the enterprise. As the main carrier of big data, the Internet, due to the huge amount of data, the difficulty of obtaining it, the relatively low unit value, and almost all unstructured data such as text, etc. The difficulty is that its value has not been fully developed and utilized by the industry. Contents of the invention ...

AI Technical Summary

Problems solved by technology

At present, the industry's main focus on "big data" is still the data within the enterprise. As the main carrier of big data, the Internet, due to the huge amount of data, the difficulty of obtaining it, the relatively low unit value, and almost all unstructured data such as text, etc. Difficulty, its value has not been fully developed and utilized by the industry

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