Body automatic build system and method based on text mining

A text mining and automatic construction technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problem of few scientific research results, and achieve the effect of shortening the construction period, better integration, and avoiding influence

Inactive Publication Date: 2010-05-19
BEIJING ZHONGJIKEHAI TECH & DEV
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Problems solved by technology

However, there are still very few ontologies and relate...

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  • Body automatic build system and method based on text mining
  • Body automatic build system and method based on text mining
  • Body automatic build system and method based on text mining

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Embodiment Construction

[0057] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the following examples are only used to explain the present invention, and are not intended to limit the present invention, that is, the scope of protection of the present invention is not limited to the following examples, on the contrary, according to the inventive concept of the present invention, those skilled in the art Appropriate changes can be made by those skilled in the art, and these changes can fall within the scope of the invention defined by the claims.

[0058] The basic idea of ​​the present invention is: an embodiment of the present invention provides a set of technical solutions for automatically constructing ontology based on text mining. Such as image 3 As shown, it includes domain data collection 302...

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Abstract

The invention relates to the body building field, in particular to a body automatic build system and a method based on the text mining field. The system mainly comprises a linguistic data pretreatment subsystem, a text mining subsystem and a body build subsystem, wherein, the linguistic data pretreatment subsystem is used for receiving and processing relevant data provided by a user, the text mining subsystem is used for analyzing and mining the relevant knowledge in the linguistic data, and the body build subsystem is used for organizing and building the final field body knowledge base. The body automatic build system and the method based on text mining of the invention can finish the automatic building of the body under the condition of few manual interventions, thus shortening the body building period, and saving a great amount of manpower, material resources and financial resource input during manual body building; and meanwhile, the system and the method can fully utilize internet information and electronic resources owned by users for better blending, reasoning and disambiguation and avoid the effect on the body knowledge base by the view of individual expert and scholar.

Description

technical field [0001] The invention relates to the field of ontology construction, in particular to a method for automatically constructing domain ontology based on text mining, and an automatic ontology construction system including the method. Background technique [0002] "Ontology" was originally a term in the field of philosophy, a theory about the existence of things and their essential laws. At the end of the 20th century, with the development of information technology, ontology was introduced into the fields of artificial intelligence, knowledge engineering, library and information, and used to build a large-scale integrated knowledge base system to solve the problems of knowledge concept representation and knowledge organization system. In the new technical field, ontology is endowed with a more specific definition—an explicit, formalized specification of a shared conceptual model. Ontology generally consists of concepts (Concepts), relations between concepts (Rel...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 李春梅薛中玉李艾丹黄道雄范书德
Owner BEIJING ZHONGJIKEHAI TECH & DEV
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