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Construction method of public health emergent event domain knowledge base

A technology for emergencies and public health, applied in the field of information and public health emergencies, it can solve problems such as the need to improve the accuracy and comprehensiveness, the complex extraction of event elements, and the insufficient coverage of information, so as to ensure comprehensiveness. and accuracy, improving the efficiency of emergency response, promoting comprehensiveness and accuracy

Inactive Publication Date: 2015-04-29
NANTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The description sentences of public health emergency information in network texts are generally long, and because public health emergencies involve many fields, the types and amount of information of event components are various and complex, and there are quite a lot of special constraints in the medical field. This makes the extraction of event elements very complicated, the workload of manual extraction is very large and the coverage of information is not comprehensive enough
At present, the research on the establishment of knowledge in the field of public health emergencies is still in the preliminary stage. The knowledge base in the field of public health constructed by using the existing field knowledge base construction method, because there are many proper nouns, the correlation is not close, etc. characteristics, are often not deep enough and comprehensive, resulting in accuracy and comprehensiveness that need to be improved

Method used

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  • Construction method of public health emergent event domain knowledge base
  • Construction method of public health emergent event domain knowledge base
  • Construction method of public health emergent event domain knowledge base

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0096] Example 1: Seed: word+ / m+ / n Candidate: word+ / m+ /

[0097] Seed refers to the seed mode, and Candidate refers to the candidate mode.

[0098] Table 4

[0099]

[0100] Among them, the 3*3 cells in the lower right corner of the table, first from top to bottom and then from left to right, are A, B, C, D, E, F, G, H, and I in turn. Each bit of Seed is marked as 1, 2, 3, and each bit of Candidate is also marked as 1, 2, 3.

[0101] Table 4 describes the basic calculation process of the edit distance algorithm. At A is the comparison between the first digit of Seed and the first digit of Candidate. After one comparison, the values ​​on the left and upper sides of A are respectively increased by 1, and both sides are 1+ 1=2, since the first digit is the trigger word word with the same content, then the upper left corner of A is 0+0=0, the three added values ​​are 0, 1, 1 respectively, choose the smallest 0, this is The value at A means that this bit is the same and no op...

example 2

[0113] Example 2: Seed: Organize expert consultations Candidate: Organize expert consultations in various provinces

[0114] table 5

[0115]

[0116] As shown in Table 5, in this example, according to the above algorithm steps, the final operand is 2, that is, the Candidate can be converted into Seed by deleting "each" and "province". In this example, the length of the Seed is 6, and the length of the Candidate is 8. According to the matching degree formula, the maximum length is 5, and the operand is 2. Therefore, the matching degree in this example is 1-2 / 8=0.75.

[0117] When the matching degree is greater than or equal to 0.3, it meets the requirements by default, and the seed mode can be added, and if it is less than, the candidate mode is ignored.

[0118] Since the quality of candidate patterns in the step of evaluating seed patterns is very important to the whole process of pattern acquisition, it directly affects the final result. Therefore, a certain standard ...

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Abstract

The invention relates to a construction method of a public health emergent event domain knowledge base. The method comprises the following steps: analyzing each domain involved by a public health emergent event life cycle, and searching a related document to obtain a corpus; constructing an event frame by extracting attribute information in a sentence; processing text information to form a standard information markup system; taking the obtained attribute information as a seed attribute, designing a seed mode, and selecting new matching related information depending on the seed information to obtain more attribute information; constructing a public health emergent event domain body by using the attribute information. The public health emergent event domain knowledge base constructed by the construction method of the domain knowledge base is more accurate and complete, simple and efficient, a new emergency plan is favorably generated and executed, a standard reference is provided for emergency treatment of emergent events, the emergency treatment efficiency can also be improved, and a reference is provided for next scientific research.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for constructing a knowledge base in the field of public health emergencies. Background technique [0002] With the rapid increase of social mobility and complexity, from the medical field to the public health field, many emergencies will not only cause various losses but also cause social unrest. Public health emergencies are a special type of event. It involves basic medicine, public health, emergency response, social psychology and many other fields, and because the epidemic changes rapidly, its information is updated very quickly, which means that its information induction is very complicated. For example, the H7N9 epidemic broke out. This flu event not only endangered human health, but also caused global panic, and then caused a series of economic losses. There are new infections and deaths every day, and there are new therapeutic drugs and vaccines every day. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/21
Inventor 王理张远鹏钱旦敏姚敏邵劲松蓝俊董建成
Owner NANTONG UNIVERSITY
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