Combination theory based quasi natural language semantic information extraction method and system

A natural language and semantic information technology, which is applied in the natural language-like semantic information extraction method and its system field, can solve problems such as huge data volume, low unit value, and difficult acquisition

Inactive Publication Date: 2015-01-14
ANHUI HUAZHEN INFORMATION SCI & TECH
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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 difficu

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  • Combination theory based quasi natural language semantic information extraction method and system
  • Combination theory based quasi natural language semantic information extraction method and system
  • Combination theory based quasi natural language semantic information extraction method and system

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Embodiment Construction

[0026] Such as figure 1 As shown, the embodiment of the present invention proposes a method for extracting semantic information similar to natural language based on combination theory, including the following steps:

[0027] Step 101, acquire big data and use it as a basic data source. For example, cloud computing, distributed processing technology, storage technology, and perception technology can be used to collect, process, and store big data; among them, big data can be divided into big data from the Internet, big data from the government, big data from enterprises, and personal data. big data.

[0028] Step 102, searching for sentences expressing similar meanings or containing similar semantic information in the acquired big data, and labeling the semantic elements of the sentences.

[0029] Step 103, analyze the unmarked part of the sentence through the built-in semantic dictionary, and generate an inductive way.

[0030] Step 104, selecting a method that conforms to ...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/313G06F40/30G06Q30/0202
Inventor 贾岩
Owner ANHUI HUAZHEN INFORMATION SCI & TECH
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