CN112506917B - Dictionary mapping method, device, system, equipment and medium for main data - Google Patents
Dictionary mapping method, device, system, equipment and medium for main data Download PDFInfo
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Abstract
The invention provides a dictionary mapping method, a device, a system, equipment and a medium for main data, wherein the method comprises the following steps: initializing a service system dictionary, and collecting and synchronizing historical dictionary data of each service system; matching the service dictionary with the main data to obtain mapping; pushing the mapping directly to a service system, or subscribing the related dictionary mapping for the service system through an integrated platform; and standard conversion is carried out according to the mapping, under the calling of the integration platform, the request message of the service system A is converted into the service dictionary of the service system B and returned to the integration platform, the integration platform requests the service system B by using the conversion request message, or the return message of the service system B is converted into the service dictionary of the service system A and returned to the integration platform, and the integration platform requests the service system A by using the return conversion message. Therefore, the interaction efficiency of each service system in a system is improved, the standard aperture of data is unified, and the service data of each service system is more standardized.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a dictionary mapping method, a device, a system, equipment and a medium for main data of a medical system.
Background
With the continuous improvement of the information management of hospitals, various business systems with different division of labor exist in the hospitals, and the importance of uniform data aperture is often ignored in the initial stage of system construction. Because the main data construction is not done in the early stage, each system has a dictionary, and when different systems need to carry out data interaction, the difference of the dictionaries between the two systems is found, and the data intercommunication becomes more difficult and complicated.
Because the importance of unified data aperture is not considered at the beginning of system construction, each system has a respective service dictionary at the moment. Therefore, after the main data system is established, the dictionary of each business system needs to be mapped with the main data. Based on the situation, the system is based on the national health information industry dictionary and is combined with an integration platform, and more efficient and convenient main data management is realized.
The main data, also called reference data, may be a standard dictionary published by the country or a dictionary recognized from the inside of a hospital, as far as the main data in the medical industry is concerned.
Chinese invention CN107194167A, published at 20170922, provides a system and method for managing doctor-patient data, wherein the system includes a patient main index module, a department main index module, a staff main index module, and a main data management module; the patient main index module generates patient main index information according to the patient information and provides inquiry subscription service of the patient main index information; the department main index module generates department main index information according to the department information and provides inquiry subscription service of the department main index information; the staff main index module generates staff main index information according to the medical staff information and provides inquiry subscription service of the staff main index information; and the main data management module acquires and stores the standard service terms and the standard service dictionary and provides inquiry subscription service of the standard service terms and the standard service dictionary. The invention realizes the uniqueness of the patient main index, the department main index and the employee main index among all medical information systems, ensures the uniqueness of service terms and service dictionaries among all systems, and ensures the realization of the butt joint and information sharing of all systems. However, the invention only describes the management method of the main data, and does not relate to the problem of how to interact data among all the business systems.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, an apparatus, a system, a device and a medium for mapping a dictionary of main data, which can improve the interaction efficiency of each service system in a system, unify the standard aperture of data, and make the service data of each service system more standardized.
In a first aspect, the present invention provides a method for dictionary mapping of master data, the method being used in a master data system and comprising the steps of:
s1, initializing a service system dictionary: receiving registration of each service system, enabling each service system to correspond to different service system codes, and enabling the service system codes and the service system names to serve as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
s2, matching the service dictionary with the main data: receiving a mapping rule set by a user, and matching a service dictionary with main data in a system of the user according to the mapping rule to obtain mapping;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
s3, pushing mapping: the system is used for directly pushing mapping to the service system or subscribing the related dictionary mapping for the service system through the integrated platform;
s4, standard conversion is carried out according to the mapping: when the service system A requests the related service of the integration platform, the request message of the service system A is converted into the service dictionary of the service system B under the calling of the integration platform, the conversion request message is obtained and returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the return message of the service system B is converted into the service dictionary of the service system A under the calling of the integration platform, the return conversion message is obtained and returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
In a second aspect, the present invention provides a method for dictionary mapping of main data, the method being used in a dictionary mapping system of main data and comprising the steps of:
s1, initializing a service system dictionary: the main data system receives the registration of each service system, so that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing one part of the historical dictionary data into a main data system;
s2, matching the service dictionary with the main data: the main data system receives a mapping rule set by a user, and the mapping is obtained after the service dictionary is matched with the main data in the system of the main data system according to the mapping rule;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
s3, pushing mapping: the main data system subscribes related dictionary mapping for the service system, and is used for the service system to acquire corresponding mapping through a mapping acquisition interface registered in the integrated platform by the main data system and inform the service system through related services of the integrated platform when subsequent mapping is changed;
s4, configuring relevant services of the business system by the integrated platform: when the related service of the business system needs to be registered to the integration platform, the integration platform provides standardized configuration for the related service, including conversion request message standardization and conversion return message standardization;
s5, carrying out standardization conversion according to the mapping: the normalization conversion is performed using either of the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system pushes mapping to the service system A, so that the service system A completes standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives a standard message of the service system A, the main data system pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system A requests the related service of the integration platform, the main data system converts the request message of the service system A into the service dictionary of the service system B under the calling of the integration platform to obtain a conversion request message which is returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the main data system converts the return message of the service system B into the service dictionary of the service system A under the calling of the integration platform to obtain a return conversion message which is returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
In a third aspect, the present invention provides a dictionary mapping apparatus for main data, the apparatus is a main data system and includes the following modules:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for directly pushing the mapping to the service system or subscribing the related dictionary mapping for the service system through the integrated platform;
and the standard conversion module is used for converting a request message of the service system A into a service dictionary of the service system B under the calling of the integration platform when the service system A requests the related service of the integration platform, obtaining a conversion request message and returning the conversion request message to the integration platform, requesting the service system B by the integration platform through the conversion request message, converting a return message of the service system B into the service dictionary of the service system A under the calling of the integration platform when the service system B returns the message, obtaining the return conversion message and returning the return conversion message to the integration platform, and requesting the service system A by the integration platform through the return conversion message.
In a fourth aspect, the present invention provides a dictionary mapping system for main data, which includes a service system, a main data system and an integration platform;
the business system is used for completing the division business in a system and is provided with a business dictionary which belongs to the business system;
the master data system, further comprising:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing one copy to the system;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for subscribing the relevant dictionary mapping for the service system, acquiring the corresponding mapping by the service system through the mapping acquisition interface registered in the integration platform by the main data system, and notifying the service system through the relevant service of the integration platform when the subsequent mapping is changed;
the standardized conversion module is used for converting the message of one service system into a service dictionary of another service system under the calling of the integrated platform;
the integrated platform is used for configuring the related services of the business system, and when the related services of the business system need to be registered to the integrated platform, the integrated platform provides standardized configuration for the related services, including conversion request message standardization and conversion return message standardization;
the standardized conversion comprises the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system pushes mapping to the service system A, so that the service system A completes standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives a standard message of the service system A, the main data system pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system A requests the related service of the integration platform, the main data system converts the request message of the service system A into the service dictionary of the service system B under the calling of the integration platform to obtain a conversion request message which is returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the main data system converts the return message of the service system B into the service dictionary of the service system A under the calling of the integration platform to obtain a return conversion message which is returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
In a fifth aspect, the invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of the first aspect when executing the program.
In a sixth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method of the first aspect.
One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages: through the conversion service of the main data or the combination of an integrated platform, the data intercommunication between different service systems can be realized by slightly changing the existing service systems, the interaction efficiency of each service system in a system is improved, the standard aperture of the data is unified, and the service data of each service system is more standardized. The main data system provides various mapping rules for the user to select, and the similarity can be set, so that the method has good adaptability and can greatly reduce the workload of a main data administrator in the mapping configuration process.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a flow chart of a method according to one embodiment of the present invention;
FIG. 3 is a diagram illustrating a service dictionary template of a service system in an embodiment of the present invention;
FIG. 4 is a schematic diagram of an operation interface when the main data system synchronizes the historical dictionary data of the business system in the embodiment of the present invention;
FIG. 5 is a diagram illustrating mapping results according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an operation interface for automatically setting mapping rules according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of an operation interface when a mapping subscription is added in the embodiment of the present invention;
FIG. 8 is a diagram illustrating a result after adding a mapping subscription according to an embodiment of the present invention;
FIGS. 9 to 11 are schematic diagrams illustrating the operation steps of the edit distance algorithm according to the embodiment of the present invention;
FIG. 12 is a schematic flow chart of a standardized conversion scheme in an embodiment of the present invention;
FIG. 13 is a schematic illustration of a standardized transformation configuration interface in an embodiment of the invention;
FIG. 14 is a schematic structural diagram of an apparatus according to a second embodiment of the present invention;
fig. 15 is a schematic structural diagram of an electronic device according to a third embodiment of the invention;
fig. 16 is a schematic structural diagram of a medium according to a fourth embodiment of the present invention.
Detailed Description
The embodiment of the application provides a dictionary mapping method, device, system, equipment and medium for main data, so that the interaction efficiency of each service system in a system is improved, the standard aperture of data is unified, and the service data of each service system is more standardized.
The technical scheme in the embodiment of the application has the following general idea: the method comprises the steps of firstly synchronizing historical dictionary data of each service system into a main data system, mapping and matching the service dictionary and the main data, pushing the matched mapping to the service systems, and then performing standardized conversion on different service systems according to the mapping through conversion service of the main data or combining an integration platform, thereby realizing data intercommunication among different service systems, improving the interaction efficiency of each service system in a system, unifying standard apertures of data, enabling the service data of each service system to be more standardized, only making minor changes on the existing service system, and having strong adaptability. The main data system provides various mapping rules for the user to select, and the similarity can be set, so that the method has good adaptability and can greatly reduce the workload of a main data administrator in the mapping configuration process.
Before describing the specific embodiment, a system framework corresponding to the method of the embodiment of the present application is described, and as shown in fig. 1, the system is roughly divided into three parts:
the business system is characterized in that various business systems with different division functions exist in a system, such as outpatient doctor workstations, inpatient doctor workstations, nurse workstations, unified reconciliation platforms, case management platforms and the like existing in systems such as hospitals, and each business system usually has a dictionary at present;
the main data system is used for standardizing, sorting and displaying the main data so as to ensure the integrity, consistency and uniqueness of the main data, and applying the sorted main data to interconnection and intercommunication among different service systems;
the integrated platform, which is generally referred to as a service bus in the present invention, is mainly responsible for processing request distribution, message conversion, etc. among different service systems.
Example one
As shown in fig. 2, the present embodiment provides a dictionary mapping method for master data, which is used in a master data system and includes the following steps:
s1, initializing a service system dictionary: receiving registration of each service system, enabling each service system to correspond to different service system codes, and enabling the service system codes and the service system names to serve as root directories of a service dictionary of the service system; as shown in fig. 3, is a service dictionary template for a service system. Collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the collection mode comprises excel import, service system registration interface collection or database view collection:
when the excel import function is used, as shown in fig. 4, the history dictionary data is imported into the root directory of the service dictionary;
the service dictionary registration interface is provided by the main data system, when the initialized service dictionary is newly added, the service dictionary registration is recommended to be completed in the mode, the initialization can be completed in the way, the service dictionary registration is consistent with the excel import function, the service system registration is required to be performed in advance before the dictionary registration, and the history dictionary data is imported into the root directory of the service dictionary;
the collection mode of the database view is that a service system is required to provide a corresponding dictionary view, and a master data manager collects dictionary data to a root directory of a service dictionary in the master data system by using a collection tool;
s2, matching the service dictionary with the main data: receiving a mapping rule set by a user, and matching a service dictionary with main data in a system of the user according to the mapping rule to obtain mapping; the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
if each service dictionary is matched manually, a large amount of workload is consumed, and therefore, the matching is automatically completed by adopting a proper matching algorithm. Since most business dictionaries are roughly the same as standard dictionaries, for example: in a business system gender dictionary: the number "0" represents "woman", whereas in the standard dictionary: the number "0" represents "female", so we provide an automatic corresponding method, dictionary coding, exact matching of service dictionary names, fuzzy matching of service dictionary names (fuzzy matching of names is performed according to similarity between names, for example, 50% in fig. 6 indicates similarity), fuzzy matching algorithm we adopt Levenshtein Distance algorithm, and main data manager can set different matching rules according to different dictionary conditions. After the mapping is successful, the main data operator needs to submit to a main data manager for auditing, and the dictionary mapping after the auditing is successful is used as an issue.
S3, pushing mapping: as shown in fig. 7 and 8, the method is used for pushing the mapping directly to the service system, or subscribing the associated dictionary mapping for the service system through the integration platform;
s4, standard conversion is carried out according to the mapping: when the service system A requests the related service of the integration platform, the request message of the service system A is converted into the service dictionary of the service system B under the calling of the integration platform, the conversion request message is obtained and returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the return message of the service system B is converted into the service dictionary of the service system A under the calling of the integration platform, the return conversion message is obtained and returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
As a more preferred implementation manner or a more specific implementation manner of this embodiment, in the matching rules, when the dictionary code exact matching rule, the dictionary name exact matching rule, and the dictionary name fuzzy matching rule are all selected, the priorities are sequentially arranged from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
Assume that there is a standard dictionary: "respiratory medical specialty", a service dictionary: "respiratory specialty".
The specific process of the edit distance algorithm is as follows:
1) firstly, as shown in FIG. 9, the two dictionaries are marked with sequence numbers from 0 and are sorted;
2) then, the two are compared one by one, as shown in fig. 10, if they are equal, the minimum value of the left, upper left and upper left is taken, and if they are not equal, the minimum value of the left, upper left and upper left is taken + 1. If "call" and "call" are equal, then take the upper left minimum value of 0. If the 'breathing' is unequal to the 'inhaling', taking the minimum value of 0 and adding 1 to obtain a result of 1;
3) so calculated, as shown in fig. 11, a final result of 2 is obtained;
4) then the Similarity between the two dictionaries, i.e., ((Max (x, y) -Levenshtein)/Max (x, y) × 100%, where Levenshtein is the result above, Max (x, y) is the maximum of the length of the two values, the standard dictionary: "respiratory medicine specialties" and service dictionary: the final similarity for "respiratory specialty" was (6-2)/6 x 100% ≈ 66.67%.
Example two
As shown in fig. 12, the present embodiment provides a dictionary mapping method for main data, which is used in the dictionary mapping system shown in fig. 1, and includes the following steps:
s1, initializing a service system dictionary: the main data system receives the registration of each service system, so that each service system corresponds to different service codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; (ii) a Collecting historical dictionary data of each service system and synchronizing one part of the historical dictionary data into a main data system; as shown in fig. 3, is a service dictionary template for a service system. Collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the collection mode comprises excel import, service system registration interface collection or database view collection:
when the excel import function is used, as shown in fig. 4, the history dictionary data is imported into the root directory of the service dictionary;
the service dictionary registration interface is provided by the main data system, when the initialized service dictionary is newly added, the service dictionary registration is recommended to be completed in the mode, the initialization can be completed in the way, the service dictionary registration is consistent with the excel import function, the service system registration is required to be performed in advance before the dictionary registration, and the history dictionary data is imported into the root directory of the service dictionary;
the collection mode of the database view is that a service system is required to provide a corresponding dictionary view, and a master data manager collects dictionary data to a root directory of a service dictionary in the master data system by using a collection tool;
s2, matching the service dictionary with the main data: the main data system receives a mapping rule set by a user, and the mapping is obtained after the service dictionary is matched with the main data in the system of the main data system according to the mapping rule; the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
if each service dictionary is matched manually, a large amount of workload is consumed, and therefore, the matching is automatically completed by adopting a proper matching algorithm. Since most business dictionaries are roughly the same as standard dictionaries, for example: in a business system gender dictionary: the number "0" represents "woman", whereas in the standard dictionary: the number "0" represents "female", so we provide an automatic corresponding method, dictionary coding, exact matching of service dictionary names, fuzzy matching of service dictionary names (fuzzy matching of names is performed according to similarity between names, for example, 50% in fig. 6 indicates similarity), fuzzy matching algorithm we adopt Levenshtein Distance algorithm, and main data manager can set different matching rules according to different dictionary conditions. After the mapping is successful, the main data operator needs to submit to a main data manager for auditing, and the dictionary mapping after the auditing is successful is used as an issue.
S3, pushing mapping: the main data system subscribes related dictionary mapping for the service system, and is used for the service system to acquire corresponding mapping through a mapping acquisition interface registered in the integrated platform by the main data system and inform the service system through related services of the integrated platform when subsequent mapping is changed;
s4, configuring relevant services of the business system by the integrated platform: when the related service of the service system needs to be registered to the integration platform, the integration platform provides configuration whether to perform standardization for the related service, as shown in fig. 13, the standardization includes standardization of a conversion request message and standardization of a conversion return message, generally, all that needs to be converted are request messages, and the conversion return message is started only when the related service needs to analyze the return message;
s5, carrying out standardization conversion according to the mapping: with the integrated platform, as shown in fig. 10, the standardized transformation can be performed by using either of the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system firstly pushes mapping to the service system A, so that the service system A completes the standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives the standard message of the service system A, the main data system then pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system B returns a message, under the calling of the integration platform, the main data system converts the return message of the service system B into the service dictionary of the service system A, obtains a return conversion message and returns the return conversion message to the integration platform, and the integration platform requests the service system A by using the return conversion message.
As a more preferred implementation manner or a more specific implementation manner of this embodiment, in the matching rules, when the dictionary code exact matching rule, the dictionary name exact matching rule, and the dictionary name fuzzy matching rule are all selected, the priorities are sequentially arranged from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
Assume that there is a standard dictionary: "respiratory medical specialty", a service dictionary: "respiratory specialty".
The specific process of the edit distance algorithm is as follows:
1) firstly, as shown in FIG. 9, the two dictionaries are marked with sequence numbers from 0 and are sorted;
2) then, the two are compared one by one, as shown in fig. 10, if they are equal, the minimum value of the left, upper left and upper left is taken, and if they are not equal, the minimum value of the left, upper left and upper left is taken + 1. If "call" and "call" are equal, then take the upper left minimum value of 0. If the 'breathing' is unequal to the 'inhaling', taking the minimum value of 0 and adding 1 to obtain a result of 1;
3) so calculated, as shown in fig. 11, a final result of 2 is obtained;
4) then the Similarity between the two dictionaries, i.e., ((Max (x, y) -Levenshtein)/Max (x, y) × 100%, where Levenshtein is the result above, Max (x, y) is the maximum of the length of the two values, the standard dictionary: "respiratory medicine specialties" and service dictionary: the final similarity for "respiratory specialty" was (6-2)/6 x 100% ≈ 66.67%.
Based on the same inventive concept, the application also provides a device corresponding to the method in the first embodiment, which is detailed in the third embodiment.
EXAMPLE III
As shown in fig. 14, in the present embodiment, there is provided a dictionary mapping apparatus for master data, which is a master data system and includes the following modules:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system; the collection mode comprises excel import, service system registration interface collection or database view collection;
as shown in fig. 3, is a service dictionary template for a service system. Collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the collection mode comprises excel import, service system registration interface collection or database view collection:
when the excel import function is used, as shown in fig. 4, the history dictionary data is imported into the root directory of the service dictionary;
the service dictionary registration interface is provided by the main data system, when the initialized service dictionary is newly added, the service dictionary registration is recommended to be completed in the mode, the initialization can be completed in the way, the service dictionary registration is consistent with the excel import function, the service system registration is required to be performed in advance before the dictionary registration, and the history dictionary data is imported into the root directory of the service dictionary;
the collection mode of the database view is that a service system is required to provide a corresponding dictionary view, and a master data manager collects dictionary data to a root directory of a service dictionary in the master data system by using a collection tool;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping;
if each service dictionary is matched manually, a large amount of workload is consumed, and therefore, the matching is automatically completed by adopting a proper matching algorithm. Since most business dictionaries are roughly the same as standard dictionaries, for example: in a business system gender dictionary: the number "0" represents "woman", whereas in the standard dictionary: the number "0" represents "female", so we provide an automatic corresponding method, dictionary coding, accurate matching of service dictionary names, fuzzy matching of service dictionary names (fuzzy matching of names is performed according to similarity between names, for example, 50% in fig. 6 refers to similarity), a Levenshtein Distance algorithm (edit Distance algorithm) is adopted for the fuzzy matching algorithm, and a master data administrator can set different matching rules according to different dictionary conditions. After the mapping is successful, the main data operator needs to submit to a main data manager for auditing, and the dictionary mapping after the auditing is successful is used as an issue.
The matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for directly pushing the mapping to the service system or subscribing the related dictionary mapping for the service system through the integrated platform;
and the standard conversion module is used for converting a request message of the service system A into a service dictionary of the service system B under the calling of the integration platform when the service system A requests the related service of the integration platform, obtaining a conversion request message and returning the conversion request message to the integration platform, requesting the service system B by the integration platform through the conversion request message, converting a return message of the service system B into the service dictionary of the service system A under the calling of the integration platform when the service system B returns the message, obtaining the return conversion message and returning the return conversion message to the integration platform, and requesting the service system A by the integration platform through the return conversion message.
As a more preferred implementation manner or a more specific implementation manner of this embodiment, in the matching rules, when the dictionary code exact matching rule, the dictionary name exact matching rule, and the dictionary name fuzzy matching rule are all selected, the priorities are sequentially arranged from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
Assume that there is a standard dictionary: "respiratory medical specialty", a service dictionary: "respiratory specialty".
The specific process of the edit distance algorithm is as follows:
1) firstly, as shown in FIG. 9, the two dictionaries are marked with sequence numbers from 0 and are sorted;
2) then, the two are compared one by one, as shown in fig. 10, if they are equal, the minimum value of the left, upper left and upper left is taken, and if they are not equal, the minimum value of the left, upper left and upper left is taken + 1. If "call" and "call" are equal, then take the upper left minimum value of 0. If the 'breathing' is unequal to the 'inhaling', taking the minimum value of 0 and adding 1 to obtain a result of 1;
3) so calculated, as shown in fig. 11, a final result of 2 is obtained;
4) then the Similarity between the two dictionaries, i.e., ((Max (x, y) -Levenshtein)/Max (x, y) × 100%, where Levenshtein is the result above, Max (x, y) is the maximum of the length of the two values, the standard dictionary: "respiratory medicine specialties" and service dictionary: the final similarity for "respiratory specialty" was (6-2)/6 x 100% ≈ 66.67%.
Since the apparatus described in the second embodiment of the present invention is an apparatus used for implementing the method of the first embodiment of the present invention, based on the method described in the first embodiment of the present invention, a person skilled in the art can understand the specific structure and the deformation of the apparatus, and thus the details are not described herein. All the devices adopted in the method of the first embodiment of the present invention belong to the protection scope of the present invention.
Based on the same inventive concept, the application also provides a system corresponding to the method in the second embodiment, which is detailed in the third embodiment.
EXAMPLE III
As shown in fig. 1, the present embodiment provides a dictionary mapping system for main data, which includes a service system, a main data system, and an integration platform;
the business system is used for completing the division business in a system and is provided with a business dictionary which belongs to the business system;
the master data system, further comprising:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping; the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for subscribing the relevant dictionary mapping for the service system, acquiring the corresponding mapping by the service system through the mapping acquisition interface registered in the integration platform by the main data system, and notifying the service system through the relevant service of the integration platform when the subsequent mapping is changed;
the standardized conversion module is used for converting the message of one service system into a service dictionary of another service system under the calling of the integrated platform;
the integrated platform is used for configuring the related services of the business system, and when the related services of the business system need to be registered to the integrated platform, the integrated platform provides standardized configuration for the related services, including conversion request message standardization and conversion return message standardization;
the standardized conversion comprises the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system pushes mapping to the service system A, so that the service system A completes standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives a standard message of the service system A, the main data system pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system A requests the related service of the integration platform, the main data system converts the request message of the service system A into the service dictionary of the service system B under the calling of the integration platform to obtain a conversion request message which is returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the main data system converts the return message of the service system B into the service dictionary of the service system A under the calling of the integration platform to obtain a return conversion message which is returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
As a more preferred implementation manner or a more specific implementation manner of this embodiment, in the matching rules, when the dictionary code exact matching rule, the dictionary name exact matching rule, and the dictionary name fuzzy matching rule are all selected, the priorities are sequentially arranged from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
Assume that there is a standard dictionary: "respiratory medical specialty", a service dictionary: "respiratory specialty".
The specific process of the edit distance algorithm is as follows:
1) firstly, as shown in FIG. 9, the two dictionaries are marked with sequence numbers from 0 and are sorted;
2) then, the two are compared one by one, as shown in fig. 10, if they are equal, the minimum value of the left, upper left and upper left is taken, and if they are not equal, the minimum value of the left, upper left and upper left is taken + 1. If "call" and "call" are equal, then take the upper left minimum value of 0. If the 'breathing' is unequal to the 'inhaling', taking the minimum value of 0 and adding 1 to obtain a result of 1;
3) so calculated, as shown in fig. 11, a final result of 2 is obtained;
4) then the Similarity between the two dictionaries, i.e., ((Max (x, y) -Levenshtein)/Max (x, y) × 100%, where Levenshtein is the result above, Max (x, y) is the maximum of the length of the two values, the standard dictionary: "respiratory medicine specialties" and service dictionary: the final similarity for "respiratory specialty" was (6-2)/6 x 100% ≈ 66.67%.
Since the dictionary mapping system described in the fourth embodiment of the present invention is a device used for implementing the method of the second embodiment of the present invention, a person skilled in the art can understand the specific structure and the deformation of the device based on the method described in the second embodiment of the present invention, and thus the details are not described herein. All the devices adopted by the method of the second embodiment of the invention belong to the protection scope of the invention.
Based on the same inventive concept, the application provides an electronic device embodiment corresponding to the first embodiment, which is detailed in the fifth embodiment.
EXAMPLE five
The present embodiment provides an electronic device, as shown in fig. 15, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, any one of the first embodiment modes may be implemented.
Since the electronic device described in this embodiment is a device used for implementing the method in the first embodiment of the present application, based on the method described in the first embodiment of the present application, a specific implementation of the electronic device in this embodiment and various variations thereof can be understood by those skilled in the art, and therefore, how to implement the method in the first embodiment of the present application by the electronic device is not described in detail herein. The equipment used by those skilled in the art to implement the methods in the embodiments of the present application is within the scope of the present application.
Based on the same inventive concept, the application provides a storage medium corresponding to the sixth embodiment, which is described in detail in the sixth embodiment.
EXAMPLE six
The present embodiment provides a computer-readable storage medium, as shown in fig. 16, on which a computer program is stored, and when the computer program is executed by a processor, any one of the first embodiment can be implemented.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages: through the conversion service of the main data or the combination of an integrated platform, the data intercommunication between different service systems can be realized by slightly changing the existing service systems, the interaction efficiency of each service system in a system is improved, the standard aperture of the data is unified, and the service data of each service system is more standardized. The mapping rule can be defined by self according to specific conditions, and a default matching rule can also be adopted, so that the method has better adaptability, and the workload of a master data administrator in the mapping configuration process can be greatly reduced.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus or system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (10)
1. A dictionary mapping method for main data is characterized in that: the method is used for a master data system and comprises the following steps:
s1, initializing a service system dictionary: receiving registration of each service system, enabling each service system to correspond to different service system codes, and enabling the service system codes and the service system names to serve as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
s2, matching the service dictionary with the main data: receiving a mapping rule set by a user, and matching a service dictionary with main data in a system of the user according to the mapping rule to obtain mapping;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
s3, pushing mapping: the system is used for directly pushing mapping to the service system or subscribing the related dictionary mapping for the service system through the integrated platform;
s4, standard conversion is carried out according to the mapping: when the service system A requests the related service of the integration platform, the request message of the service system A is converted into the service dictionary of the service system B under the calling of the integration platform, the conversion request message is obtained and returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the return message of the service system B is converted into the service dictionary of the service system A under the calling of the integration platform, the return conversion message is obtained and returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
2. The method of claim 1, wherein the dictionary mapping method for main data comprises:
the collection mode comprises excel import, service system registration interface collection or database view collection;
in the matching rules, when the dictionary code accurate matching rule, the dictionary name accurate matching rule and the dictionary name fuzzy matching rule are selected, the priority is sequentially from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
3. A dictionary mapping method for main data is characterized in that: the method is used for a dictionary mapping system of main data and comprises the following steps:
s1, initializing a service system dictionary: the main data system receives the registration of each service system, each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing one part of the historical dictionary data into a main data system;
s2, matching the service dictionary with the main data: the main data system receives a mapping rule set by a user, and the mapping is obtained after the service dictionary is matched with the main data in the system of the main data system according to the mapping rule;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
s3, pushing mapping: the main data system subscribes related dictionary mapping for the service system, and is used for the service system to acquire corresponding mapping through a mapping acquisition interface registered in the integrated platform by the main data system and inform the service system through related services of the integrated platform when subsequent mapping is changed;
s4, configuring relevant services of the business system by the integrated platform: when the related service of the business system needs to be registered to the integration platform, the integration platform provides standardized configuration for the related service, including conversion request message standardization and conversion return message standardization;
s5, carrying out standardization conversion according to the mapping: the normalization conversion is performed using either of the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system pushes mapping to the service system A, so that the service system A completes standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives a standard message of the service system A, the main data system pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system A requests the related service of the integration platform, the main data system converts the request message of the service system A into the service dictionary of the service system B under the calling of the integration platform to obtain a conversion request message which is returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the main data system converts the return message of the service system B into the service dictionary of the service system A under the calling of the integration platform to obtain a return conversion message which is returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
4. A method of dictionary mapping for master data according to claim 3, wherein:
the acquisition mode comprises excel import, service system registration interface acquisition or database view acquisition;
in the matching rules, when the dictionary code accurate matching rule, the dictionary name accurate matching rule and the dictionary name fuzzy matching rule are selected, the priority is sequentially from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
5. A dictionary mapping apparatus for main data, characterized in that: the device is a main data system and comprises the following modules:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping;
the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for directly pushing the mapping to the service system or subscribing the related dictionary mapping for the service system through the integrated platform;
and the standard conversion module is used for converting a request message of the service system A into a service dictionary of the service system B under the calling of the integration platform when the service system A requests the related service of the integration platform, obtaining a conversion request message and returning the conversion request message to the integration platform, requesting the service system B by the integration platform through the conversion request message, converting a return message of the service system B into the service dictionary of the service system A under the calling of the integration platform when the service system B returns the message, obtaining the return conversion message and returning the return conversion message to the integration platform, and requesting the service system A by the integration platform through the return conversion message.
6. The apparatus for dictionary mapping of main data according to claim 5, wherein:
the collection mode comprises excel import, service system registration interface collection or database view collection;
in the matching rules, when the dictionary code accurate matching rule, the dictionary name accurate matching rule and the dictionary name fuzzy matching rule are selected, the priority is sequentially from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the fuzzy matching rule of the dictionary names adopts an edit distance algorithm and is carried out according to the similarity between the names, and when the similarity between the service dictionary names and the dictionary names of the main data system reaches a preset value, the matching is successful.
7. A dictionary mapping system for master data, characterized by: the system comprises a service system, a main data system and an integration platform;
the business system is used for completing the division business in a system and is provided with a business dictionary which belongs to the business system;
the master data system, further comprising:
initializing a service system dictionary module, which is used for receiving registration of each service system to ensure that each service system corresponds to different service system codes, and the service system codes and the service system names are used as root directories of a service dictionary of the service system; collecting historical dictionary data of each service system and synchronizing the historical dictionary data into the system;
the service dictionary and main data matching module is used for receiving a mapping rule set by a user, and matching the service dictionary with main data in a system of the service dictionary and main data according to the mapping rule to obtain mapping; the matching rules comprise at least one of dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the mapping pushing module is used for subscribing the relevant dictionary mapping for the service system, acquiring the corresponding mapping by the service system through the mapping acquisition interface registered in the integration platform by the main data system, and notifying the service system through the relevant service of the integration platform when the subsequent mapping is changed;
the standardized conversion module is used for converting the message of one service system into a service dictionary of another service system under the call of the integrated platform;
the integrated platform is used for configuring the related services of the business system, and when the related services of the business system need to be registered to the integrated platform, the integrated platform provides standardized configuration for the related services, including conversion request message standardization and conversion return message standardization;
the standardized conversion comprises the following two schemes:
(1) when the service system A sends a message to the service system B, the main data system pushes mapping to the service system A, so that the service system A completes standardization of the message in the self system and then sends the message to the service system B, and after the service system B receives a standard message of the service system A, the main data system pushes mapping to the service system B, so that the service system B converts the standard message into a service dictionary of the service system B in the self system;
(2) when the service system A requests the related service of the integration platform, the main data system converts the request message of the service system A into the service dictionary of the service system B under the calling of the integration platform to obtain a conversion request message which is returned to the integration platform, the integration platform requests the service system B by using the conversion request message, when the service system B returns the message, the main data system converts the return message of the service system B into the service dictionary of the service system A under the calling of the integration platform to obtain a return conversion message which is returned to the integration platform, and the integration platform requests the service system A by using the return conversion message.
8. A system for dictionary mapping of master data according to claim 7, wherein:
the collection mode comprises excel import, service system registration interface collection or database view collection;
in the matching rules, when the dictionary code accurate matching rule, the dictionary name accurate matching rule and the dictionary name fuzzy matching rule are selected, the priority is sequentially from high to low: dictionary code accurate matching rules, dictionary name accurate matching rules and dictionary name fuzzy matching rules;
the dictionary name fuzzy matching rule is carried out by adopting an edit distance algorithm according to the similarity between the names, and when the similarity between the service dictionary name and the main data system dictionary name reaches a preset value, the matching is successful.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 4 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 4.
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