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Chinese knowledge inference method based on ontology inference

A technology of knowledge reasoning and ontology, which is applied in the fields of electrical digital data processing, natural language data processing, special data processing applications, etc., and can solve the problems of limited reasoning knowledge and easy neglect.

Inactive Publication Date: 2015-02-25
武汉理工数字传播工程有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The user does not care about the reasoning mechanism of the above-mentioned ontology reasoning machine. What the user can use is the pre-reasoning conditions and the after-reasoning results of the reasoning machine, that is, what results can be obtained from which conditions. Knowledge points depend on the setting of sufficient conditions and necessary conditions when constructing ontology. In the current construction of ontology in various fields, the restrictive conditions are often easily ignored, so the reasoning knowledge is limited.

Method used

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  • Chinese knowledge inference method based on ontology inference
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Examples

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Embodiment 1

[0024] Example 1, such as figure 1 As shown, a Chinese knowledge reasoning method based on ontology reasoning described in the embodiment of the present invention, the system includes: the reasoning method includes the following steps:

[0025] Step 101: input text;

[0026] Step 102: Text word segmentation processing;

[0027] Step 103: word segmentation thesaurus matching;

[0028] Step 104; Thesaurus Ontology Model Mapping;

[0029] Step 105: The ontology model is mapped to the inference rule engine;

[0030] Step 106: start reasoning to obtain information;

[0031] Step 107; information conclusion.

[0032] The system is divided into an external interaction module and an internal processing module that users can see. As long as the external interaction realizes the communication with the user and the computer, it is divided into user input and computer output. The user input represents the information that the user needs to verify and expand, and the computer output ...

Embodiment 2

[0041] Example 2, such as figure 2 As shown, input text --> word segmentation processing --> thesaurus matching (direct matching, synonym matching) --> mapping to ontology --> mapping to inference rule engine --> start reasoning --> judge correctness;

[0042] Input two pieces of text --> word segmentation processing --> thesaurus matching (direct matching, synonym matching) --> mapping to ontology --> mapping to inference rule engine --> start reasoning --> launch implicit information.

[0043] About Inference Rules Inference rules are user-defined inputs when building ontology. Generally, two object attribute expressions are used to derive another object attribute expression. Object attribute expressions are generally class+object attribute+class. In addition to applying ontology reasoning to the ontology model and improving the ontology framework, the main function is to provide users with the correctness of verification information, and to obtain knowledge and information...

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Abstract

Provided is a Chinese knowledge inference method based on ontology inference. The Chinese knowledge inference method based on ontology inference includes the following steps of inputting test, carrying out text segmentation and segmentation word bank matching, mapping a word bank ontology model to an inference rule engine, starting inference to obtain information, and obtaining an information conclusion. The Chinese knowledge inference method based on ontology inference has the advantages that besides the fact that the ontology inference is applied to the ontology model, an ontology framework is perfected, the method is mainly used for providing verification information accuracy for users and obtaining knowledge and connotative information through ontology rules; inference rules are customized when the ontology is built, an ontology rule base is built, and limitation that inference rule results generated by limit conditions in the ontology are limited is avoided; based on an existing ontology model and the built ontology word bank, matched words of the text in the word bank are mapped into the ontology model, and are mapped to the inference rule engine through the inference rules in the ontology, so that accuracy of invisible knowledge or judgment knowledge of the ontology is achieved.

Description

technical field [0001] The invention relates to a Chinese knowledge reasoning method based on ontology reasoning. Background technique [0002] Ontology reasoning can discover logical contradictions implicit in ontology definitions, which can assist users to construct correct and consistent ontologies, assist the evolution and perfection of ontologies, and accelerate the fusion of multiple ontologies. But now ontology reasoning is still in the stage of testing ontology concept consistency and individual legitimacy, and uses the constraints defined in the ontology, such as property only class, "Only" means "allValuesForm". Restrictions are divided into necessary conditions and necessary and sufficient conditions. Ontology inference engine uses these restrictions to infer the consistency and legitimacy of ontology. [0003] Ontology is only the foundation of the Semantic Web. Its essence is to serve knowledge and is an expression of knowledge. The reasoning function of ontolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/36G06F16/374G06F40/30G06F40/35
Inventor 白立华刘永坚杨朝阳曾瑞李文忠涂瑞刘欢
Owner 武汉理工数字传播工程有限公司