CN111914100A - Emergency decision knowledge representation method based on ontology - Google Patents
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Abstract
The invention relates to an emergency decision knowledge representation method based on an ontology, which overcomes the defect that no technical data guidance is available for emergency decision. The invention comprises the following steps: determining an emergency decision ontology model, and providing an emergency decision knowledge ontology model by analyzing emergency plans, emergency cases, emergency business rules and the like; and constructing an ontology based on the emergency decision field of the emergency. According to the method, the emergency decision knowledge ontology is constructed, the corresponding relation between the knowledge nodes and the data subclasses is formed through the ontology on the basis of the attributes, and quick and efficient knowledge management is provided for the intelligence of emergency decisions.
Description
Technical Field
The invention relates to the technical field of data decision analysis, in particular to an emergency decision knowledge representation method based on an ontology.
Background
Decision information accumulated in the conventional emergency decision support system is generally represented in structured and unstructured data forms such as a traditional database and a file system, semantic information is lacked, and a decision maker is difficult to support to obtain decision knowledge at a semantic level in a short time, so that the emergency decision and the promotion of command level of the emergency are limited.
Disclosure of Invention
The invention aims to solve the defect that emergency decision-making in the prior art has no technical data guidance, and provides an ontology-based emergency decision-making knowledge representation method for emergency decisions to solve the problems.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an ontology-based emergency decision knowledge representation method for emergencies comprises the following steps:
determining an emergency decision ontology model, and providing an emergency decision knowledge ontology model by analyzing emergency plans, emergency cases, emergency business rules and the like;
and constructing an ontology based on the emergency decision field of the emergency.
The body model for determining the emergency decision-making domain of the emergency is formed by four tuples,
record as Ontology: : < Concepts, relationships, induviduals, Rules >,
wherein:
concept: : the system comprises a concept set, a concept set and a concept set, wherein the concept set is a set of concepts in the emergency decision field of an emergency, and comprises an emergency element set, a corresponding emergency plan set, an emergency case set, an emergency resource set and the like, wherein the emergency element set comprises social security, natural disasters, ecological environments and the like;
relaitons: : the system comprises a first set of relations in the emergency decision domain, a second set of relations in the emergency decision domain, and a third set of relations in the emergency decision domain, wherein the first set of relations is a binary relation set between Concepts in the emergency decision domain and between Concepts and attributes, and the second set of relations is { r (c1, c2) | c1, c2 ∈ Concepts, and r is a name of a relation }, and represents interaction between Concepts and attributes in the emergency decision domain;
indeviduals: { indevidual | (indevidual) ∈ Concepts }, which is a set of concept instances in the emergency decision field of an emergency event, where an instance refers to a specific individual belonging to a certain concept class, such as an instance of an emergency case class, "512 wenchuan earthquake";
rule: ═ rule, is a set of emergency decision Rules for emergencies, like the rule of if … the … else … structure.
The body construction based on the emergency decision field comprises the following steps:
on the basis of analyzing and researching emergency management of the emergency, aiming at emergency decisions, extracting terms and definitions related to the emergency management field, standard abbreviations, standard jargon, common synonyms and the like from emergency plans, emergency management regulations and a large number of emergency cases by using a machine learning method, and constructing an emergency management field dictionary;
based on the dictionaries, words contained in the dictionaries are extracted from texts such as national disposal emergency plans, emergency plans of related departments of the state department, emergency plans of local people governments, emergency plans of emergency regional management organizations and their sending organizations, emergency plans of emergency rescue plans and the like as field concepts;
acquiring classification relations according to subclass relations and partial relations defined in a dictionary to construct a multilevel concept tree of an emergency decision body of an emergency incident, dividing the field into a plan body and a basic body, and realizing the description of non-classification relations by defining object attributes and data attributes on the basis of concepts and classification definitions thereof;
on the basis of the established emergency decision field ontology, specific reasoning elements involved in the emergency decision are determined through extraction of ontology concepts, and a reasoning rule is established according to the elements.
Advantageous effects
Compared with the prior art, the method for expressing the emergency decision knowledge based on the ontology has the advantages that the emergency decision knowledge ontology is constructed, the corresponding relation between the knowledge nodes and the data subclasses is formed through the ontology on the basis of the attributes, and the rapid and efficient knowledge management is provided for the intelligence of the emergency decision.
Drawings
FIG. 1 is a sequence diagram of the method of the present invention.
Detailed Description
So that the manner in which the above recited features of the present invention can be understood and readily understood, a more particular description of the invention, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings, wherein:
as shown in fig. 1, the method for representing emergency decision knowledge based on ontology according to the present invention comprises the following steps:
the method comprises the steps of firstly, determining an emergency decision ontology model, and providing the emergency decision knowledge ontology model by analyzing emergency plans, emergency cases, emergency business rules and the like.
Determining the emergency decision ontology model to be the emergency decision domain ontology model composed of four tuples,
record as Ontology: : < Concepts, relationships, induviduals, Rules >,
wherein:
concept: : the system comprises a concept set, a concept set and a concept set, wherein the concept set is a set of concepts in the emergency decision field of an emergency, and comprises an emergency element set, a corresponding emergency plan set, an emergency case set, an emergency resource set and the like, wherein the emergency element set comprises social security, natural disasters, ecological environments and the like;
relaitons: : the system comprises a first set of relations in the emergency decision domain, a second set of relations in the emergency decision domain, and a third set of relations in the emergency decision domain, wherein the first set of relations is a binary relation set between Concepts in the emergency decision domain and between Concepts and attributes, and the second set of relations is { r (c1, c2) | c1, c2 ∈ Concepts, and r is a name of a relation }, and represents interaction between Concepts and attributes in the emergency decision domain;
indeviduals: { indevidual | (indevidual) ∈ Concepts }, which is a set of concept instances in the emergency decision field of an emergency event, where an instance refers to a specific individual belonging to a certain concept class, such as an instance of an emergency case class, "512 wenchuan earthquake";
rule: ═ rule, is a set of emergency decision Rules for emergencies, like the rule of if … the … else … structure.
And secondly, constructing an ontology based on the emergency decision field of the emergency. The method comprises the following specific steps:
(1) on the basis of analyzing and researching emergency management of the emergency, aiming at emergency decisions, a machine learning method is utilized to extract terms and definitions related to the emergency management field, standard abbreviations, standard jargon, common synonyms and the like from emergency plans, emergency management regulations and a large number of emergency cases, and a dictionary of the emergency management field is constructed.
(2) Based on the dictionaries, words contained in the dictionaries are extracted from texts such as national disposal emergency plans, emergency plans of related departments of the state department, emergency plans of local people governments, emergency plans of emergency regional authorities and their sending agencies, emergency rescue plans and the like to serve as field concepts.
(3) And acquiring classification relations according to the subclass relations and partial relations defined in the dictionary to construct a multilevel concept tree of the emergency decision-making ontology of the emergency events, dividing the domain into a plan ontology and a basic ontology, and realizing the description of the non-classification relations by defining object attributes and data attributes on the basis of the concepts and the classification definitions thereof.
(4) On the basis of the established emergency decision field ontology, specific reasoning elements involved in the emergency decision are determined through extraction of ontology concepts, and a reasoning rule is established according to the elements.
For example, the fire explosion emergency, which may cause more than 10 deaths, or more than 50 serious injuries (including acute industrial poisoning, the same below) or direct economic loss of more than 1000 ten thousand yuan, is a class i fire explosion event, and the corresponding rule form is as follows:
r1: fire explosion emergency (.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (3)
1. An ontology-based emergency decision knowledge representation method for emergencies is characterized by comprising the following steps:
11) determining an emergency decision ontology model, and providing an emergency decision knowledge ontology model by analyzing emergency plans, emergency cases, emergency business rules and the like;
12) and constructing an ontology based on the emergency decision field of the emergency.
2. The ontology-based emergency decision-making knowledge representation method of emergency events according to claim 1, wherein: the body model for determining the emergency decision-making domain of the emergency is formed by four tuples,
record as Ontology: : < Concepts, relationships, induviduals, Rules >,
wherein:
concept: : the system comprises a concept set, a concept set and a concept set, wherein the concept set is a set of concepts in the emergency decision field of an emergency, and comprises an emergency element set, a corresponding emergency plan set, an emergency case set, an emergency resource set and the like, wherein the emergency element set comprises social security, natural disasters, ecological environments and the like;
relaitons: : the system comprises a first set of relations in the emergency decision domain, a second set of relations in the emergency decision domain, and a third set of relations in the emergency decision domain, wherein the first set of relations is a binary relation set between Concepts in the emergency decision domain and between Concepts and attributes, and the second set of relations is { r (c1, c2) | c1, c2 ∈ Concepts, and r is a name of a relation }, and represents interaction between Concepts and attributes in the emergency decision domain;
indeviduals: { indevidual | (indevidual) ∈ Concepts }, which is a set of concept instances in the emergency decision field of an emergency event, where an instance refers to a specific individual belonging to a certain concept class, such as an instance of an emergency case class, "512 wenchuan earthquake";
rule: ═ rule, is a set of emergency decision Rules for emergencies, like the rule of if … the … else … structure.
3. The method as claimed in claim 1, wherein the ontology based emergency decision knowledge representation method for emergency decision domain comprises the following steps:
31) on the basis of analyzing and researching emergency management of the emergency, aiming at emergency decisions, extracting terms and definitions related to the emergency management field, standard abbreviations, standard jargon, common synonyms and the like from emergency plans, emergency management regulations and a large number of emergency cases by using a machine learning method, and constructing an emergency management field dictionary;
32) based on the dictionaries, words contained in the dictionaries are extracted from texts such as national disposal emergency plans, emergency plans of related departments of the state department, emergency plans of local people governments, emergency plans of emergency regional management organizations and their sending organizations, emergency plans of emergency rescue plans and the like as field concepts;
33) acquiring classification relations according to subclass relations and partial relations defined in a dictionary to construct a multilevel concept tree of an emergency decision body of an emergency incident, dividing the field into a plan body and a basic body, and realizing the description of non-classification relations by defining object attributes and data attributes on the basis of concepts and classification definitions thereof;
34) on the basis of the established emergency decision field ontology, specific reasoning elements involved in the emergency decision are determined through extraction of ontology concepts, and a reasoning rule is established according to the elements.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113158681A (en) * | 2021-03-24 | 2021-07-23 | 鹏城实验室 | Method, device and equipment for constructing emergency ontology model and storage medium |
| CN115345411A (en) * | 2022-04-29 | 2022-11-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Matrix fusion algorithm-based body evolution method in dam break emergency plan field |
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| US20190057774A1 (en) * | 2017-08-15 | 2019-02-21 | Computer Technology Associates, Inc. | Disease specific ontology-guided rule engine and machine learning for enhanced critical care decision support |
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| CN110110097A (en) * | 2019-05-13 | 2019-08-09 | 江苏省质量技术监督信息中心 | One kind is based on mode identification technology in standardisation documents meta-data extraction implementation method |
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Patent Citations (4)
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| CN105516020A (en) * | 2015-12-22 | 2016-04-20 | 桂林电子科技大学 | Parallel network traffic classification method based on ontology knowledge inference |
| US20190057774A1 (en) * | 2017-08-15 | 2019-02-21 | Computer Technology Associates, Inc. | Disease specific ontology-guided rule engine and machine learning for enhanced critical care decision support |
| CN109902828A (en) * | 2019-03-18 | 2019-06-18 | 中科院合肥技术创新工程院 | Emergency event Emergency decision knowledge data model building method based on multi-level knowledge units |
| CN110110097A (en) * | 2019-05-13 | 2019-08-09 | 江苏省质量技术监督信息中心 | One kind is based on mode identification technology in standardisation documents meta-data extraction implementation method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113158681A (en) * | 2021-03-24 | 2021-07-23 | 鹏城实验室 | Method, device and equipment for constructing emergency ontology model and storage medium |
| CN115345411A (en) * | 2022-04-29 | 2022-11-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Matrix fusion algorithm-based body evolution method in dam break emergency plan field |
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