Case knowledge base representation and case similarity obtaining method and system

A technology of knowledge representation and similarity, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inaccurate relationship description, ineffective sharing of case knowledge, low case recommendation speed and recommendation accuracy, and achieve The effect of improving accuracy

Active Publication Date: 2015-05-20
NEUSOFT CORP
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Problems solved by technology

[0022] In view of the above problems, the purpose of the present invention is to provide a case knowledge base representation and case similarity acquisition method and system, to solve the inaccur...

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  • Case knowledge base representation and case similarity obtaining method and system
  • Case knowledge base representation and case similarity obtaining method and system
  • Case knowledge base representation and case similarity obtaining method and system

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example

[0288] Obtain the instance collection of the source case (step S301) and the instance collection of the target case (step S302) respectively:

[0289] S303: Obtain a collection of instance pairs with a common parent class except owl: Thing in the source case and the target case;

[0290] S304: Determine whether the set of the instance pair is empty, if yes, then the set is empty, the similarity of the instance pair is zero, and step S312 is executed to end; otherwise, step S305 is executed;

[0291] S305: cyclically process each pair of instances in the instance pair set, and respectively calculate their similarity in type, data type attribute and object attribute;

[0292] S306: When the instance pair has multiple types of common parent classes, the similarity comparison of each instance type is performed in a loop (that is, steps S306-S310-S305-S306 are executed in a loop);

[0293] S307: Obtain the instance type similarity of the instance pair;

[0294] S308: Obtain the o...

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Abstract

The invention provides a case knowledge base representation and case similarity obtaining method. The case knowledge base expression and case similarity obtaining method comprises the steps of improving semantic representation capacity of semantic web standard description languages, establishing a case knowledge base and obtaining case similarity, wherein the step of improving the semantic representation capacity of semantic web standard description languages is that an N-element relation model, a fuzzy membership function and relation weight are introduced on the basis of semantic web standard description languages to improve the semantic representation capacity of the semantic web standard description languages; establishing a case knowledge base based on the strengthened semantic web standard description languages, wherein the case knowledge base include case knowledge representation models, the case base, a semantic web ruler base and an inference mechanism based on the semantic web standard description languages; obtaining case similarity. By means of the case knowledge base representation and case similarity obtaining method, the semantic representation capacity of the semantic web standard description languages can be improved so as to accurately represent case knowledge, facilitate case knowledge management and share and improve case recommendation speed and recommendation accuracy.

Description

technical field [0001] The present invention relates to the field of case-based problem solving, and more specifically, relates to a method and system for representing a case knowledge base and obtaining case similarity. Background technique [0002] The process of understanding and solving problems in existing cases based on relevant information and knowledge in previous cases is called Case-based Reasoning (CBR). Take a doctor’s visit as an example. After performing various examinations on a patient, the doctor will associate the examination results with the previously diagnosed cases of patients with similar symptoms, and refer to the diagnosis and treatment plan of patients with similar important symptoms. Diagnose and treat existing patients. [0003] In CBR, the current problem or situation is called the target case (target case), and the memory problem or situation is called the source case (base case). Roughly speaking, case-based reasoning is a strategy in which t...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 陈德彦
Owner NEUSOFT CORP
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