Medical cosmetology knowledge graph automatic construction method and system and storage medium

A knowledge map and automatic construction technology, which is applied to computer-readable storage media and the field of automatic construction of medical and cosmetic knowledge maps, to achieve the effect of wide knowledge coverage and improved question-and-answer effects

Inactive Publication Date: 2019-11-05
XIAMEN KUAISHANGTONG TECH CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At this stage, there are very few industry knowledge graphs publicly available, especially for the medical beauty industry.

Method used

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  • Medical cosmetology knowledge graph automatic construction method and system and storage medium
  • Medical cosmetology knowledge graph automatic construction method and system and storage medium

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] A method for automatically constructing a medical cosmetology knowledge map, as shown in the attached figure 1 shown, including the following:

[0043] (1) Ontology construction step: construct the ontology of medical cosmetology knowledge map;

[0044] The ontology construction of the medical cosmetology knowledge graph includes defining the ontology and data schema layer of the medical cosmetology knowledge graph,

[0045] The schema layer definition of the ontology and data of the medical cosmetology knowledge graph includes the following: defining classes in the ontology, defining relationships between classes in the ontology, and defining attribute slots;

[0046] The class represents a collection of objects (instances). In the embodiment of the present invention, preferably, the classes in the ontology include any one or more of the following:

[0047]Plastic items (Item), technology (Technology), instrument (Instrument), material (Material), symptom (Symptom),...

Embodiment 2

[0094] The embodiment of the present invention discloses a system for automatically constructing a medical cosmetology knowledge map. The system for automatically constructing a medical cosmetology knowledge map includes: a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are run by the processor, the steps of the method for automatically constructing the medical cosmetology knowledge map are completed. The specific implementation cases of the automatic construction method of the medical cosmetology knowledge graph and the automatic construction method of the medical cosmetology knowledge graph in Embodiment 1 will not be repeated here.

Embodiment 3

[0096] The embodiment of the present invention discloses a computer-readable storage medium. A computer program runs on the computer-readable storage medium. When the computer program is run by a processor, the steps of the method for automatically constructing a medical cosmetology knowledge map are completed. The automatic construction method of the medical cosmetology knowledge map is the automatic construction method of the medical cosmetology knowledge map described in Embodiment 1, which will not be repeated here.

[0097] The computer-readable storage medium includes but is not limited to flash memory, hard disk, multimedia card, card memory (for example, SD or DX memory, etc.), random access memory (Random Access Memory, RAM), static random access memory (Static Random-Access Memory, etc.), Access Memory, SRAM), Read Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory, PROM), magnetic memory, magnetic disk, opt...

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Abstract

The invention discloses a medical cosmetology knowledge graph automatic construction method and system and a storage medium. The method comprises a medical cosmetology knowledge graph ontology construction step, an entity extraction step and an attribute extraction step. Entity extraction is named entity extraction which is automatically identified from medical cosmetology original dialogue corpus. Attribute extraction is entity extraction, and an attribute list is constructed for entities. Attribute extraction comprises two processes of object attribute value extraction and data attribute value extraction. From original dialogue data, a shaping industry knowledge graph is quickly constructed. The invention has advantages of wide coverage and personal requirements. Through body construction, entity sampling, attribute sampling and entity alignment methods, a plastic industry knowledge graph is constructed from medical cosmetology real customer service dialogue data, and knowledge whichdoes not conform to ontology structure is manually corrected. Meanwhile, knowledge containing general errors such as sick sentences and wrongly written characters is cleaned.

Description

technical field [0001] The present invention relates to the field of medical cosmetology, in particular to a method and system for automatically constructing a medical cosmetology knowledge graph, and a computer-readable storage medium. Background technique [0002] Knowledge graphs are currently widely used in the field of artificial intelligence, especially in dialogue systems. The knowledge representation and reasoning capabilities of the knowledge graph can greatly improve the question-answering effect of the dialogue system. According to the coverage of knowledge graph, it is mainly divided into general knowledge graph and industry knowledge graph. At present, most of the research on knowledge graphs is concentrated in general fields, such as Google's knowledge vault, Facebook's Social Graph, and Baidu's Baidu Knowledge Graph. The general knowledge graph is mainly used in Internet-oriented search, recommendation, question and answer and other business scenarios. Sinc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F17/27G06N3/04
CPCG06N3/049G06F16/367
Inventor 康祖荫肖龙源蔡振华李稀敏刘晓葳谭玉坤
Owner XIAMEN KUAISHANGTONG TECH CORP LTD
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