CN107273689A - A kind of essence brand recognition ontology model construction method based on ion mobility spectrometry - Google Patents
A kind of essence brand recognition ontology model construction method based on ion mobility spectrometry Download PDFInfo
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- CN107273689A CN107273689A CN201710457305.9A CN201710457305A CN107273689A CN 107273689 A CN107273689 A CN 107273689A CN 201710457305 A CN201710457305 A CN 201710457305A CN 107273689 A CN107273689 A CN 107273689A
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Abstract
The invention discloses a kind of essence brand recognition ontology model construction method based on ion mobility spectrometry, the sample data that this method is gathered based on ion mobility spectrometry under negative ions pattern, with reference to the concept of body, realizes the classification of essence brand.Methods described includes：Sample data under negative ions pattern is gathered by ion mobility spectrometry；Similarity measurement between sample is carried out by range formula；By clustering, and based on similarity measurement, classifying rules is set up；With reference to the concept of body, ontology knowledge base is set up, the essence brand recognition ontology model based on ion mobility spectrometry is built.The construction method of this model can realize the shared of knowledge and be multiplexed that the identification to essence brand serves decision support effect.
Description
Technical field
The present invention is application of the computer information technology in field, specifically a kind of essence brand based on ion mobility spectrometry
Recognize ontology model construction method.
Background technology
Quality assurance (Quality Assurance) refers to make it is believed that a certain product, process or the quality of service institute
The necessary planned organized activities of whole.Quality assurance practices are considered as the core of international trade, particularly to food and
Medicine.However, many popular products are not specified completely, quality assurance turns into a cause for having more challenge.
With the rapid development of economy, the material life water of people is gradually stepped up, requirement of the people to quality is also increasingly
It is high.Natural essence is easy to be esthetically acceptable to the consumers, but its composition changes because of weather, species and artificial origin.At present, in China
Conventional is synthesizing apple essence, in Chinese market, and manufacturer produces the flavoring apple essence of tens of kinds of brands, price and quality
It is different.But, snap left has had been put into the discriminating of the discriminating of flavoring apple essence, especially manufacturer.Associated production skill
Art is not opened, and is lacked national standard and is brought difficulty to market management.
At present, essence quality is main is controlled by sensory evaluation and physical index.The former is using nose as identification facility, by personnel's water
The influence of the factors such as flat, health, environment, it is impossible to accurately reflect inherent quality and quality fluctuation.The latter can only be reflected
The general features of essence, with test, content is more, complex operation, testing time length, the low feature of efficiency.Due to the application of essence
Increasingly stablize, in the urgent need to developing a set of suitable quality evaluating method.
Compound essence is a kind of complex mixture for including ten several compositions.Therefore, traditional analysis method can only be analyzed
Comparison of ingredients is single or composition not enough complicated article, is not suitable for being applied to quality evaluation.Fingerprint technique be by spectrum, chromatogram,
The technologies such as mass spectrum can reflect the system features rather than single composition of sample as a kind of detection means.This technology is special
It is suitable for the quality evaluation of complex sample.At present, fingerprint technique has been used for the quality and safety of food, medicine and other products
Monitoring, can make analysis more accurate, reliable.
Ion mobility spectrometry (IMS) is a kind of isolation technics of important separation gaseous ion at atmosheric pressure, earliest should
For military and aviation security field.At present, ion mobility spectrometry does not analyze the relevant issues of mistake, up to the present, seldom
Have been reported that materials of the IMS based on quality analysis.
Body (Ontology) is the focus of each field concern of computer in recent years, in natural language processing, knowledge
The each side such as engineering, intelligent information are integrated, cooperative information system, information management, the acquisition of Internet intelligent information are goed deep into
Research.Ontology is a kind of expression way of current new knowledge, is rapidly developed in recent years in areas of information technology,
Information is formed the knowledge representation mode of structuring by it by arranging processing, explanation and transformation, to realize the shared of knowledge
And multiplexing.
Ion mobility spectrometry is applied in body field by the situation based on foregoing description, the present invention, it is proposed that one kind is based on
The method that the essence brand recognition ontology model of ion mobility spectrometry is built, on the basis to essence brand recognition relative theory analysis
On, a scientific and reasonable identification ontology model is set up, this paper research contents is played decision support to essence brand recognition
Effect.Essence product based on ion mobility spectrometry are constructed on the Research foundation to conventional bulk model by Protege softwares
Board recognizes ontology model.Carry out the measuring similarity between sample to realize sample classification by range formula, based on to classification knot
The analysis of fruit, builds ontology rule, by inference machine come implementation rule reasoning, so as to truly play to essence brand
Recognition reaction.
The content of the invention
The problem of being proposed based on background technology, the present invention proposes a kind of essence brand recognition sheet based on ion mobility spectrometry
Body construction method.
1. a kind of essence brand recognition ontology model construction method based on ion mobility spectrometry, it is characterised in that the side
Method includes：
S1 gathers the data of sample under negative ions pattern by ion mobility spectrometry；Different samples are carried out by range formula
Between similarity measurement；By clustering, based on similarity measurement, Ontology rule is set up；
The concept of S2 combination bodies, sets up ontology knowledge base, builds a kind of essence brand recognition based on ion mobility spectrometry
Ontology model；
S3 inputs the associative key of field of food safety by query function, inquires about related concept and corresponding
Hierarchical relationship, so as to understand the relevant information of food security.
2 the method as described in claim 1, it is characterised in that S1 detailed process is as follows：
32 essence samples based on four different brands, using ion mobility spectrometry collecting sample respectively in negative ions mould
Spectrogram under formula, chooses two representative frequencies and repeats to test, in order to exclude solvent peak and fluctuation minor impact, choose
SPECTRAL REGION be respectively under positive ion mode 7.5-15 milliseconds under 10-17.5 milliseconds and negative ion mode；
Based on the above method respectively under negative ions pattern, COS distance is taken to carry out the similarity measurement of sample；
According to the similarity between sample, to the cluster of sample, so as to realize to the essence sample of four different brands
Classification；
Based on the above-mentioned Similarity value calculated, the result of the span of each Sample Similarity, and classification is built
The rule base of vertical ontology model.
3. such as the methods described of right 1, it is characterised in that S2's comprises the following steps that：
Step 1 determines essence of the object described by the ontology model for four different brands, clearly sets up the body mould
The purpose of type is the essence for recognizing different brands, and the problem of can solve；
The existing ontology model of step 2 investigates the recycling of existing ontology model mainly for fields such as building, traffic
Property, with reference to existing ontology model, with reference to institute's research object essence, progress integrates comprehensive consideration；
Step 3 lists the important terms of studied essence domain body；
Step 4 is according to the important terms listed, the hierarchical relationship between defining class in the ontology model and being all kinds of,
Concept in Main Basiss essence field and the relation between concept；
Attribute in relation of the step 5 between OWL Ontology Languages defined attribute and attribute, body mainly includes numerical value
Type attribute and object type attribute；Type, value, the domain of definition of value, codomain and restrictive condition of defined attribute etc.；
Step 6 sets up ontology model rule according to the similarity measurement result carried out using range formula；
The example for determining class is filled among body by step 7, and the property value to example etc. is filled, herein
Example is the sample gathered based on ion mobility spectrometry.
A kind of essence brand recognition ontology model construction method based on ion mobility spectrometry proposed by the present invention, being one has
The model of effect, can be to realizing the shared of essence brand recognition knowledge and being multiplexed, and the identification to essence brand serves decision-making branch
The effect of holding.
Brief description of the drawings
The flow chart that Fig. 1 builds for the essence brand recognition ontology model proposed by the present invention based on ion mobility spectrometry；
Fig. 2 is the class defined in ontology model of the present invention；
Fig. 3 is the hierarchical relationship figure of class of the present invention and class；
Fig. 4 is Ontology Query exemplary plot of the present invention.
Embodiment
Reference picture 1, the present invention proposes a kind of essence brand recognition ontology model construction method based on ion mobility spectrometry,
Comprise the following steps that：
1. a kind of essence brand recognition ontology model construction method based on ion mobility spectrometry, it is characterised in that the side
Method includes：
S1 gathers the data of sample under negative ions pattern by ion mobility spectrometry；Different samples are carried out by range formula
Between similarity measurement；By clustering, based on similarity measurement, Ontology rule is set up；
The concept of S2 combination bodies, sets up ontology knowledge base, builds a kind of essence brand recognition based on ion mobility spectrometry
Ontology model；
S3 inputs the associative key of field of food safety by query function, inquires about related concept and corresponding
Hierarchical relationship, so as to understand the relevant information of food security.
2. the method as described in claim 1, it is characterised in that S1 detailed process is as follows：
32 essence samples based on four different brands, using ion mobility spectrometry collecting sample respectively in negative ions mould
Spectrogram under formula, chooses two representative frequencies and repeats to test, in order to exclude solvent peak and fluctuation minor impact, choose
SPECTRAL REGION be respectively under positive ion mode 7.5-15 milliseconds under 10-17.5 milliseconds and negative ion mode；
Based on the above method respectively under negative ions pattern, COS distance is taken to carry out the similarity measurement of sample；
According to the similarity between sample, to the cluster of sample, so as to realize to the essence sample of four different brands
Classification；
Based on the above-mentioned Similarity value calculated, the result of the span of each Sample Similarity, and classification is built
The rule base of vertical ontology model.
3. such as the methods described of right 1, it is characterised in that S2's comprises the following steps that：
Step 1 determines essence of the object described by the ontology model for four different brands, clearly sets up the body mould
The purpose of type is the essence for recognizing different brands, and the problem of can solve；
The existing ontology model of step 2 investigates the recycling of existing ontology model mainly for fields such as building, traffic
Property, with reference to existing ontology model, with reference to institute's research object essence, progress integrates comprehensive consideration；
Step 3 lists the important terms of studied essence domain body；
Step 4 is according to the important terms listed, and the hierarchical relationship between defining class in the ontology model and being all kinds of is main
Will be according to the relation between the concept in essence field and concept；
Attribute in relation of the step 5 between OWL Ontology Languages defined attribute and attribute, body mainly includes numeric type
Attribute and object type attribute；Type, value, the domain of definition of value, codomain and restrictive condition of defined attribute etc.；
Step 6 sets up ontology model rule according to the similarity measurement result carried out using range formula；
The example for determining class is filled among body by step 7, and the property value to example etc. is filled, reality herein
Example is the sample gathered based on ion mobility spectrometry.
Claims (3)
1. a kind of essence brand recognition ontology model construction method based on ion mobility spectrometry, it is characterised in that methods described bag
Include：
S1 gathers the data of sample under negative ions pattern by ion mobility spectrometry；Carried out by range formula between different samples
Similarity measurement；By clustering, based on similarity measurement, Ontology rule is set up；
The concept of S2 combination bodies, sets up ontology knowledge base, builds a kind of essence brand recognition body based on ion mobility spectrometry
Model；
S3 inputs the associative key of field of food safety by query function, inquires about related concept and corresponding level
Relation, so as to understand the relevant information of food security.
2. the method as described in claim 1, it is characterised in that S1 detailed process is as follows：
32 essence samples based on four different brands, using ion mobility spectrometry collecting sample respectively under negative ions pattern
Spectrogram, choose two representative frequencies and repeat to test, in order to exclude solvent peak and fluctuation minor impact, the light of selection
Spectrum region be respectively under positive ion mode 10-17.5 millisecond with 7.5-15 milliseconds under negative ion mode；
Based on the above method respectively under negative ions pattern, COS distance is taken to carry out the similarity measurement of sample；
According to the similarity between sample, to the cluster of sample, so as to realize the classification of the essence sample to four different brands；
Based on the above-mentioned Similarity value calculated, the result of the span of each Sample Similarity, and classification sets up this
The rule base of body Model.
3. such as the methods described of right 1, it is characterised in that S2's comprises the following steps that：
Step 1 determines essence of the object described by the ontology model for four different brands, clearly sets up the ontology model
Purpose is the essence for recognizing different brands, and the problem of can solve；
The existing ontology model of step 2 investigates the reusing of existing ontology model, ginseng mainly for fields such as building, traffic
Existing ontology model is examined, with reference to institute's research object essence, progress integrates comprehensive consideration；
Step 3 lists the important terms of studied essence domain body；
Step 4 is according to the important terms listed, the hierarchical relationship between defining class in the ontology model and being all kinds of, mainly according to
According to the relation between the concept and concept in essence field；
Attribute in relation of the step 5 between OWL Ontology Languages defined attribute and attribute, body mainly includes Numeric Attributes
With object type attribute；Type, value, the domain of definition of value, codomain and restrictive condition of defined attribute etc.；
Step 6 sets up ontology model rule according to the similarity measurement result carried out using range formula；
The example for determining class is filled among body by step 7, and the property value to example etc. is filled, and example herein is
For the sample gathered based on ion mobility spectrometry.
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| CN102622453A (en) * | 2012-04-20 | 2012-08-01 | 北京邮电大学 | Body-based food security event semantic retrieval system |
| CN103700019A (en) * | 2013-12-17 | 2014-04-02 | 吉林大学 | Food quality analysis method |
| CN104237370A (en) * | 2014-08-22 | 2014-12-24 | 中国农业科学院油料作物研究所 | Method for rapidly identifying counterfeit sesame oil with sesame oil essence |
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2017
- 2017-06-16 CN CN201710457305.9A patent/CN107273689A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080040308A1 (en) * | 2006-08-03 | 2008-02-14 | Ibm Corporation | Information retrieval from relational databases using semantic queries |
| CN102622453A (en) * | 2012-04-20 | 2012-08-01 | 北京邮电大学 | Body-based food security event semantic retrieval system |
| CN103700019A (en) * | 2013-12-17 | 2014-04-02 | 吉林大学 | Food quality analysis method |
| CN104237370A (en) * | 2014-08-22 | 2014-12-24 | 中国农业科学院油料作物研究所 | Method for rapidly identifying counterfeit sesame oil with sesame oil essence |
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Application publication date: 20171020 |