CN100561475C - The integration method of heterogeneous different source different platform data and switching method - Google Patents
The integration method of heterogeneous different source different platform data and switching method Download PDFInfo
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Abstract
The invention discloses a kind of integration method of heterogeneous different source different platform data, comprise step: one, an ontology library is set, and ontology library comprises the department name territory, division data table title-domain, division data table position territory, data item territory, domain knowledge and data table items relation domain; Two, an ontology library editing machine is set, the ontology library editing machine comprises notion class editing machine, attributes edit device and relationship editor; Three, utilize notion class editing machine to import data in the ontology library respectively; Four, utilize the attributes edit device that attribute is imported data item territory in the ontology library; Five, utilize relationship editor that relation data is imported data item relation domain and data item and tables of data relation domain in the ontology library respectively; Thereby finish the integration of heterogeneous different source different platform data.The invention also discloses a kind of switching method of heterogeneous different source different platform data.Problems such as method of the present invention has solved the effectively integrating of heterogeneous different source different platform data, co-operating, shares, control and management.
Description
Technical field
The present invention relates to the transmission field of numerical information, relate in particular to a kind of the realization heterogeneous different source platform data is integrated adaptive technology.
Technical background
Along with the development of network technology and local area network technology, also numerous and diverse day by day as the source of the network data of resource, form etc.In application, be by technology such as CORBA, Web Services at present morely, adopt far call and the distributed method of calling of service, exchanges data and service such as share are issued out, for user and application system inquiry and use, wherein each service all needs to carry out corresponding code compiling, and adopts certain describing mode to be issued.
Because the exchange and the share service of distributed allos heterogeneous platform data have diversity and complicacy characteristics, adopt this data integration mode can make development very huge and complicated, and following shortcoming is arranged:
(1) data integration difficulty
Each application system is independently built by different subjects, its technology realizes inconsistent, the technology path that different application systems adopts is inconsistent, the type of database that adopts is inconsistent, data layout is inconsistent, a kind of business of every exploitation all will cause the integral data application and development very complicated at concrete data source Application and Development, is difficult to promotion and implementation in practice.
(2) data sharing difficulty
Data are positioned at different application systems, and database structure is inconsistent, need through collection, conversion and concentrate and can share, but at the database that type differs, be difficult to carry out data acquisition, more difficultly accomplish data sharing.
(3) data collaborative difficulty
Handle a certain when professional, be to handle by infosystem separately by each main body, the own independent maintenance of the data of each main body, all preserve the information of business object, the partial information item repeats to preserve in each application system, in case the information change of business object, the system of each main body can't know that change takes place, can cause the data between system inconsistent, carry out to operational line and bring very big difficulty.
(4) Data Control difficulty
All be the business datum source of directly visiting each main body by sharing application in existing systems, wherein do not have the control of authority, can not be by the data of the own control and management of main body oneself.
Therefore, need that exploitation is a kind of to overcome above-mentioned shortcoming, realize from the disparate databases platform, form and describe different data resource and integrate adaptive technology.
Summary of the invention
Because the above-mentioned defective of prior art the object of the present invention is to provide a kind of adaptation technique that effectively integrates that solves allos isomery different platform data.
Another object of the present invention is to provide a kind of adaptation technique that solves the exchange of allos isomery different platform data.
For achieving the above object, the invention provides a kind of integration method of heterogeneous different source different platform data, may further comprise the steps:
1) ontology library is set, described ontology library comprises:
The department name territory is used to deposit department's name data;
Division data table title-domain is used for storage part gated data table name and claims data;
Division data table position territory is used for the address information data of storage part gated data table electronic address;
The data item territory is used for depositing the data item data of described division data table, the data type of this data item and the index attributes of this data item;
Domain knowledge and data table items relation domain are used to deposit corresponding relation and synon matching relationship between domain knowledge, term and data table items;
2) an ontology library editing machine is set, is used for carrying out data input and editor to described ontology library, described ontology library editing machine comprises notion class editing machine, attributes edit device, and relationship editor; Wherein,
Described notion class editing machine be used for to the input of described ontology library and edit described department name data, described division data table name claims data and described address information data;
Described attributes edit device is used for to described ontology library input and edits described data item data, described data type and described index attributes;
Described relationship editor is used for to the input of described ontology library and edits corresponding relation between described domain knowledge, term and data table items, and described synon matching relationship;
3) utilize described notion class editing machine, claim data and described address information data to import the described department name territory in the described ontology library, described division data table title-domain and described division data table position territory respectively described department name data, described division data table name;
4) utilize described attributes edit device, described data item data, described data type and described index attributes are imported described data item territory in the described ontology library;
5) utilize described relationship editor, the corresponding relation data between described domain knowledge, term and data table items and synon matching relationship are imported described domain knowledge and data table items relation domain in the described ontology library respectively;
Thereby finish the integration of heterogeneous different source different platform data.
Preferably, utilize described notion class editing machine, claim data and described address information data to edit described department name data, the described division data table name that leaves in described department name territory, described division data table title-domain and the described division data table position territory.
Preferably, utilize described attributes edit device, edit leaving the described data item data in the described data item territory, described data type and described index attributes in.
Preferably, utilize described relationship editor, domain knowledge, term and the described relation data that left in the described data item relation domain are edited.
Preferably, described ontology library editing machine also comprises a grammar checker, and described grammar checker is used to verify the correctness of described each input step and data and/or each edit step and data.
For realizing another object of the present invention, the present invention also provides a kind of switching method of heterogeneous different source different platform data, may further comprise the steps:
1) is provided with one and integrates querying server, deposit described ontology library on the described integration querying server; In all departments the local search server is set, described local search server connects by the local data base of modes such as connection pool and all departments;
2) on each described local search server a local search module is set, described local search module is used to accept to be instructed to the local search that described local search server sends by described integration querying server;
3) send data query instruction by the user to described integration querying server, described data query instruction comprises content information and operation information, and described operation information is the inquiry arithmetic expression;
4) described integration querying server is resolved described information inquiry instruction, takes out described content information and described operation information;
5) described integration querying server carries out matching operation with the data item data in the described data item territory in described content information and the described ontology library, obtain an elementary data item collection, described elementary data item collection comprises the described address information data of described data item data, described data type, described index attributes and described division data table electronic address at least;
6) described integration querying server is according to the concentrated data of described elementary data item, take out relation data between corresponding described inter-item relationship data and described item table in described domain knowledge term in described ontology library and the described data table items relation domain, and according to domain knowledge term and described data table items relation data data item data pointed, form data query item collection, described data query item collection comprises the described address information data of described data item data, described data type, described index attributes and described division data table electronic address at least;
7) described integration querying server is according to described operation information and the concentrated data of described data query item, form one or more described local search instruction, and described local search instruction is mail to described local search module on the corresponding described local search server by described address information data;
8), and generate a data acquisition according to inquiring about in the described division data table of described local search instruction on described local search server;
9) enquiry module in the described local search acting server sends to station address with described data acquisition, or sends to station address by described integration querying server after described data acquisition sent to described integration querying server.
The present invention is to from the disparate databases platform, form and describe different data resource unify the mark, and relation between the Various types of data resource described, form ontology library, and the method that the data resource is encapsulated, sends, receives, resolves and handles by local search server agent types of applications and Database Systems, realize the adaptive of heterogeneous different source different platform data, finish all kinds of business of requirement.
Beneficial effect of the present invention is:
One, adopted semantic network technology to solve the problem of sharing of each operation system and message exchange;
Two, the construction ontology library defines the relation between information resources and information resources, has formed virtual data center, realizes data integration in logic and shares;
Three, adopt the data of the various isomeries of local search server access, solve the interoperability problem between heterogeneous database and application;
Four, the unified interface visit shared data that provides of the direct calling platform of application system does not need to consider various heterogeneous data sources, makes things convenient for application and development;
Five, realize information sharing and exchange with the support platform form, application system just can conduct interviews alternately by easy development interface;
Six, in the enforcement deployment of platform, by configuration, need not programme or only need simply to programme and just can realize the shared and function of exchange of various data source information only.
Be described further below with reference to the technique effect of accompanying drawing, to understand purpose of the present invention, feature and effect fully design of the present invention, concrete structure and generation.
Description of drawings
Fig. 1 is the FB(flow block) of integration method of the present invention, promptly constructs the FB(flow block) of ontology library;
Fig. 2 is the FB(flow block) of method for interchanging data of the present invention, the FB(flow block) of promptly inquiring about;
Fig. 3 is the FB(flow block) of SQL instruction forming process in the querying flow block diagram shown in Figure 2;
Fig. 4 is the FB(flow block) of being worked in coordination with inquiry in the method for interchanging data of the present invention by a plurality of local search servers (being intelligent agent);
Fig. 5 is to the conduct interviews FB(flow block) of control of the authority of local search server in integration method of the present invention and the method for interchanging data;
Fig. 6 is each platform distribution schematic diagram in example of the present invention.
Embodiment
Because the difference of Informatization Development level, make the construction of information resources of all districts and departments adopt different database platforms, different data layouts, and information resources are dispersed in different positions, and the trade information resource is in a kind of state of heterogeneous different source different platform.
The integration of the different platform information resource of allos isomery is meant abstract, definition and the mark that the various information resource is unified, and the relation between the definition resource, make original loose, there are not the information resources of correlativity logically to integrate, formed an industry knowledge base, and physically, data still are distributed in the original database platform.
For the shared user of being meant of the different platform information resource of allos isomery or application system under the situation of the position that does not need to be concerned about background data base, data layout, database platform type, submit the data query request to, finish parsing by intelligent agent to query requests, the needed result of user is finally returned in the distributed search of data, inquiry.
Be meant between the application system under the situation that does not need managerial personnel or user to interfere, for the different platform information resource of allos isomery collaborative by cooperating message exchange and the business processing of finishing between system between intelligent agent.
Data Control for the different platform information resource of allos isomery is meant that the configuration application system is for the access strategy of information resources on intelligent agent, and the application or the user that only have corresponding information resource access authority can visit its desired information resources.
Semantic net is the network that can judge according to semanteme.In present WWW, webpage only is that the content of a dullness shows, computing machine only is responsible for another webpage is arrived in a web page interlinkage, and network can not be searched and searching web pages automatically according to user's requirement, until finding needed content.Semantic net then is to wish to calculate the content that function " is understood " webpage, makes computing machine become the navigational tool of " intelligence ".
The main development task of semantic net is to make data be convenient to computer more to handle and search.Computing machine can find your needed information in these resources, thereby with information island existing one by one in the WWW, develops into a googol according to the storehouse.
The realization key of semantic network technology is the mark and the description of stratification.Adopting RDF and RDFSchema to carry out semantization to resource on the basis of XML coding describes, comprises the explanation to content term under element type title, Property Name and some situation; Description to the issued transaction rule; To description of structuring element in the document and the relation between the structuring element in another document etc.According to the description of these definition and relation, can carry out further reasoning from logic then, computing machine can be discerned these resources and understand automatically, realize that finally the intellectuality of information resources is handled.
The objective of the invention is to propose a kind of method, promptly adopt the local search server, database platform is not being transformed, data are not carried out concentrated greatly, not under the situation that business application system is transformed, realize the effectively integrating of heterogeneous different source different platform information resources, share, collaborative and control.
The local search server is not have under the situation of clear and definite specific requirement the user, according to user's needs, replace the user to carry out the work of various complexity, as information inquiry, screening and management, and can infer user's intention, autonomous formulation, adjustment and execution work plan, it is to have intelligently, can carry out senior, the complicated agent software of handling automatically.The local search server has following characteristics:
(1) intelligent.Has certain inferential capability, can surmise user's intention, and can handle the complicated high task of difficulty, can analyze ground to user's demand receives, automatically refuse some unreasonable requirements that maybe may bring harm to the user, and have the ability of from experience, constantly learning, and suitably carry out self-control, improve the handling problem ability.
(2) property acted on behalf of.Be certain agency of user on function, it can replace the user to finish some tasks, and gives the user with active feedback as a result.
(3) initiative.Can be according to user's the demand and the variation of environment, active is to user report and service is provided.
(4) collaborative.Can carry out information interchange by various communication protocols and other intelligent bodies, and can coordinate to finish jointly complicated task mutually.
Specify the enforcement of this method by an embodiment of the integration method of a kind of allos isomery different platform data of the present invention below in conjunction with accompanying drawing.
In this embodiment, one ontology library is set, ontology library is to utilize semantic network technology, to data source information, data item information, data attribute unify abstract, the definition, the classification and the mark, and after the relation of the relation between the definition of data source, the relation of data item, synonym data, the trade information Resource TOC of formation.
Relation in the ontology library between main definition resource and resource is logically got up Information Resources Integration, forms a virtual data center.And the instance data of body still is kept in the former database.Figure 1 shows that a kind of integration method FB(flow block) of heterogeneous different source different platform data.
The build tool of ontology library is the body editing machine, and it is a visual ontology library maintenance tool, comprise the increasing of body, delete, change, concern between query function and the body increase, delete, change, query function.
Wherein, utilize notion class editing machine, claim data and address information data to edit department name data, the division data table name that leaves in department name territory, division data table title-domain and the division data table position territory.
Utilize the attributes edit device, the data item data, data type and the index attributes that leave in the data item territory are edited.
Utilize relationship editor, to leaving the inter-item relationship data in the data item relation domain in and editing to leaving between the table in data item and the tables of data relation domain relation data in.
The ontology library editing machine also comprises a grammar checker, and grammar checker is used to verify the correctness of each input step and data and/or each edit step and data.
Fig. 2 is for the switching method of a kind of heterogeneous different source different platform data of the present invention, promptly carry out the FB(flow block) of data query.Wherein, each intelligent agent is aforementioned local search server.Simultaneously, Fig. 3 is the detailed process that forms the SQL instruction set in the process shown in Figure 2.
Integration method of the present invention also is used for allos isomery different platform data working in coordination with between exchanges data, a plurality of intelligent agents of inquiry, and relates to the data exchange processing between a plurality of databases, and its process as shown in Figure 4.Its step is as follows:
(1) application system is sent a data query instruction;
(2) after service end receives, earlier this instruction is resolved, parse content information and the operation information that to inquire about in the instruction respectively;
(3) content of searching according to request, data relationship that in ontology library, defines and data source information, find the position in associated data source at corresponding data place and the type of data source, find the position of the corresponding local search server A in associated data source, B simultaneously.
(4) content and the operation information of searching according to request, utilize definition of data item information, data attribute, data relationship in the ontology library, form SQL operational order collection, after disposing by the local search server A with its result as parameter, finish last work of treatment by the local search server B;
(5) operational order sends to the local search server A;
(6) local search server A executable operations obtains the data that need;
(7) the local search server A sends to the local search server B with data and operational order;
(8) the local search server B is carried out the corresponding database operation according to SQL operational order and parameter, and returns net result.
Integration method of the present invention also is applicable to the access control to allos isomery different platform data, as shown in Figure 5, may further comprise the steps:
(1) keeper disposes the access control policy of using for data on the local search server;
(2) the local search server is after each intelligent agent receives operational order, judges according to access control policy whether the application of sending instruction has the authority of visit institute request resource;
(3) have access rights, then local search server executable operations instruction if use.
Below by an example data integration method of the present invention and method for interchanging data are described in conjunction with Fig. 6 again.
This example provides a kind of official document system based on allos isomery different platform data integration method and switching method.As shown in Figure 6, official document system applies scope has covered certain general office of ministries and commissions and how tame each is provincial directly under units such as general offices of department, DATA DISTRIBUTION is in the database of each general office, wherein general office of ministries and commissions database is deposited the Miscellaneous Documents data that national ministries and commissions issue, and each provincial general office database is deposited the Miscellaneous Documents data that the each province issues.
In this example, the ontology library of setting is edited and is integrated for the data source information in each database, supports analysis, conversion and transmission for query requests, finally carries out query requests and return results by the intelligent agent of each unit data storehouse correspondence.
In data integration method, as follows to the setting and the data edition of ontology library:
1, notion editor
(1) unit: certain general office of ministries and commissions
Tables of data: ministries and commissions' document received registration form
Agent identification: intelligent agent 1,172.147.2.1
(2) unit: Zhejiang Province general office of department
Tables of data: Zhejiang document received registration form
Agent identification: intelligent agent 2,172.136.10.1
(3) unit: Guangdong Province general office of department
Tables of data: Guangdong document received registration form
Agent identification: intelligent agent 3,192.147.3.1
2, attributes edit (the concrete definition of each data item slightly)
(1) ministries and commissions' document received registration form structure
DocID、DocNum、KeyWord、AcceptData、SendDepartment、ReceNum、SignPerson、SignData；
(2) Zhejiang document received registration form structure
File ID, file Num, descriptor, document received Data, document received Department, document received SerialNum, sign for Person, sign for Data;
(3) Guangdong document received registration form structure
File title, code, descriptor, message in-coming date, Origin, Originator, message in-coming serial number, sign for the registrant, sign for the date;
3, relation editor
● the synonym Data Matching
(1) document theme=file exercise question=file title
(2) document number=code
(3) keyword=descriptor
(4) document received unit=Origin, Originator
(5) document received serial number=message in-coming serial number
(6) sign for registrant=sign for registrant
● the tables of data/item coupling corresponding coupling of data table items (field term with)
File title---the document received registration form .DocID of＞ministries and commissions; Zhejiang document received registration form. file ID; Guangdong document received registration form. file title;
File font size---the document received registration form .DocNum of＞ministries and commissions; Zhejiang document received registration form. file Num; Guangdong document received registration form. code;
Descriptor---the document received registration form .KeyWord of＞ministries and commissions; Zhejiang document received registration form. the descriptor file ID; Guangdong document received registration form. descriptor;
Message in-coming date---the document received registration form .AcceptData of＞ministries and commissions; Zhejiang document received registration form. document received Data; Guangdong document received registration form. the message in-coming date;
Origin, Originator---the document received registration form .SendDepartment of＞ministries and commissions; Zhejiang document received registration form. document received Department; Guangdong document received registration form. Origin, Originator;
Message in-coming serial number---the document received registration form .ReceNum of＞ministries and commissions; Zhejiang document received registration form. document received SerialNum; Guangdong document received registration form. the message in-coming serial number;
Sign for the registrant---the document received registration form .SignPerson of＞ministries and commissions; Zhejiang document received registration form. sign for Person; Guangdong document received registration form. sign for the registrant;
Sign for the date---the document received registration form .SignData of＞ministries and commissions; Zhejiang document received registration form. sign for Data; Guangdong document received registration form. sign for the date.
Based on said method, finish the data organization in the ontology library.
Utilize the local search server (i.e. intelligent agent shown in the figure) of this ontology library and all departments, carry out exchanges data, be that the example of data query is as follows:
The All Files registration that ministries and commissions require inquiry Zhejiang and Guangdong Province to issue about the SARS problem in August, 2003.
(1) official document system of general office of ministries and commissions has sent query requests to ontology library;
＜query requests 〉
＜data source〉Zhejiang Province | Guangdong Province＜/data source 〉
＜query contents〉the document received registration＜/query contents 〉
＜the time of receipt〉in the August, 2003＜/time of receipt
＜keyword〉SARS＜/keyword 〉
＜/query requests 〉
(2) ontology library is analyzed (need mate by data relationship) to query requests;
Data source: Zhejiang Province---＞Zhejiang Province general office of department
---＞intelligent agent 2,172.136.10.1
Guangdong Province---＞Guangdong Province general office of department
---＞intelligent agent 3,192.147.3.1
Query contents: document received registration---＞Zhejiang document received registration form | Guangdong document received registration form
Time of receipt: time of receipt---＞Zhejiang document received registration form. document received Data| Guangdong document received registration form. the message in-coming date
Keyword: keyword---＞Zhejiang document received registration form .KeyWord | Guangdong document received registration form. descriptor
(3) judge data query from the data source in Zhejiang and Guangdong successively;
(4) judge that inquiry this time is the condition query mode;
(5) query requests is converted to SQL statement;
Document received registration form where Zhejiang, Select*from Zhejiang document received registration form. document received Data=" in August, 2003 " and Zhejiang document received registration form .KeyWord=SARS;
Document received registration form where Guangdong, Select*from Guangdong document received registration form. message in-coming date=" in August, 2003 " and Guangdong document received registration form. descriptor=SARS;
(6) SQL statement is sent to the intelligent agent in Zhejiang and Guangdong;
(7) after the intelligent agent inquiry, data are returned to the official document system of ministries and commissions, (intelligent agent with carried out being connected of local database pre-configuredly in advance according to the type of database, both can select the mode that at every turn connects, also can adopt the mode of connection pool).
In sum, method of the present invention has solved following problem:
1, solved the problem that effectively integrates of allos heterogeneous platform data.By setting up the ontology library of industry, the information-based resource of industry is unified mark, and the relation between resource is carried out unified Definition, original loose data are logically carried out more educated integration, form the knowledge base of an industry.
2, solved the co-operating problem of allos heterogeneous platform data.Come agent application to carry out data processing instructions by building the local search server, comprise encapsulation, transmission, reception, parsing and processing etc., and replace using the exchanges data of finishing with other application by the local search server for data.
3, solved the sharing problem of allos heterogeneous platform data.Data are not being carried out greatly under the situation about concentrating, by sending instruction, go to instruct by the local search server and resolve and the retrieval of data, and the user needn't be concerned about where data with which type of form exist actually to the local search server.
4, control and problem of management have been solved for shared data information.The local search server can be verified for the instruction that comes self-application judge whether this application has authority to visit desired data, realize effective control and protection to shared data information.
In sum, be several preferred embodiment of the present invention described in this instructions.All technician in the art all should be in claim protection domain of the present invention under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (6)
1, a kind of integration method of heterogeneous different source different platform data may further comprise the steps:
1) ontology library is set, described ontology library comprises:
The department name territory is used to deposit department's name data;
Division data table title-domain is used for storage part gated data table name and claims data;
Division data table position territory is used for the address information data of storage part gated data table electronic address;
The data item territory is used for depositing the data item data of described division data table, the data type of this data item and the index attributes of this data item;
Domain knowledge and data table items relation domain are used to deposit corresponding relation and synon matching relationship between domain knowledge and term the two and data table items;
2) an ontology library editing machine is set, is used for carrying out data input and editor to described ontology library, described ontology library editing machine comprises notion class editing machine, attributes edit device and relationship editor;
Wherein,
Described notion class editing machine be used for to the input of described ontology library and edit described department name data, described division data table name claims data and described address information data;
Described attributes edit device is used for to described ontology library input and edits described data item data, described data type and described index attributes;
Described relationship editor be used for to the input of described ontology library and edit described domain knowledge and term the two and data table items between corresponding relation and described synon matching relationship;
3) utilize described notion class editing machine, described department name data are imported described department name territory in the described ontology library, claim data to import described division data table title-domain described division data table name and described address information data are imported described division data table position territory;
4) utilize described attributes edit device, described data item data, described data type and described index attributes are imported described data item territory in the described ontology library;
5) utilize described relationship editor, the corresponding relation between described domain knowledge and term the two and data table items and synon matching relationship are imported described domain knowledge and data table items relation domain in the described ontology library respectively;
Thereby finish the integration of heterogeneous different source different platform data.
2, integration method as claimed in claim 1, it is characterized in that, utilize described notion class editing machine, claim data and described address information data to edit described department name data, the described division data table name that leaves in described department name territory, described division data table title-domain and the described division data table position territory.
3, integration method as claimed in claim 1 is characterized in that, utilizes described attributes edit device, edits leaving the described data item data in the described data item territory, described data type and described index attributes in.
4, integration method as claimed in claim 1, it is characterized in that, utilize described relationship editor, to domain knowledge, term and left described domain knowledge in and the data table items relation domain in described domain knowledge and the corresponding relation between term the two and data table items edit.
5, as any described integration method in the claim 1 to 4, it is characterized in that, described ontology library editing machine also comprises a grammar checker, and described grammar checker is used to verify the correctness of described each input step and data and/or each edit step and data.
6, a kind of switching method of utilizing the ontology library of setting up as any described integration method in the claim 1 to 5 to carry out heterogeneous different source different platform data may further comprise the steps:
1) is provided with one and integrates querying server, deposit described ontology library on the described integration querying server;
In all departments the local search server is set, described local search server connects by the local data base of connection pool mode and all departments;
2) on each described local search server a local search module is set, described local search module is used to accept to be instructed to the local search that described local search server sends by described integration querying server;
3) send data query instruction by the user to described integration querying server, described data query instruction comprises content information and operation information, and described operation information is the inquiry arithmetic expression;
4) described integration querying server is resolved described data query instruction, takes out described content information and described operation information;
5) described integration querying server carries out matching operation with the data item data in the described data item territory in described content information and the described ontology library, obtain an elementary data item collection, described elementary data item collection comprises the described address information data of described data item data, described data type, described index attributes and described division data table electronic address at least;
6) described integration querying server is according to the concentrated data of described elementary data item, take out the corresponding relation between corresponding described domain knowledge and term the two and data table items in described domain knowledge in described ontology library and the data table items relation domain, and according to the corresponding relation data item data pointed between described domain knowledge and term the two and data table items, form data query item collection, described data query item collection comprises described data item data at least, described data type, the described address information data of described index attributes and described division data table electronic address;
7) described integration querying server is according to described operation information and the concentrated data of described data query item, form one or more described local search instruction, and described local search instruction is mail to described local search module on the corresponding described local search server by described address information data;
8), and generate a data acquisition according to inquiring about in the described division data table of described local search instruction on described local search server;
9) enquiry module in the described local search server sends to station address with described data acquisition, or sends to station address by described integration querying server after described data acquisition sent to described integration querying server.
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| CN104111834A (en) * | 2014-07-07 | 2014-10-22 | 北京京东尚科信息技术有限公司 | Method and device for exchanging data between heterogeneous databases |
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| CN104933095B (en) * | 2015-05-22 | 2018-06-26 | 中国电子科技集团公司第十研究所 | Heterogeneous Information versatility correlation analysis system and its analysis method |
| US9876852B2 (en) | 2015-07-23 | 2018-01-23 | Microsoft Technology Licensing, Llc | Coordinating actions across platforms |
| CN105389378A (en) * | 2015-11-19 | 2016-03-09 | 广州精标信息科技有限公司 | System for integrating separate data |
| CN106557542A (en) * | 2016-10-14 | 2017-04-05 | 广西电网有限责任公司电力科学研究院 | A kind of joint of the heterologous isomeric data of big data is accessed and quickly mutually transfers from one department to another system |
| CN106603637B (en) * | 2016-11-30 | 2020-07-07 | 福州大学 | Data exchange method and system between heterogeneous gridding management platforms |
| CN107463687A (en) * | 2017-08-10 | 2017-12-12 | 中国民航信息网络股份有限公司 | More hotel's platform querying methods and system |
| CN107633870B (en) * | 2017-10-25 | 2020-12-08 | 天津开心生活科技有限公司 | Data extraction method and device, storage medium and electronic equipment |
| CN110222108A (en) * | 2019-05-28 | 2019-09-10 | 上海易点时空网络有限公司 | For data processing method derived from data format and device |
| CN110660461B (en) * | 2019-09-23 | 2023-03-24 | 广州市番禺区中心医院(广州市番禺区人民医院、广州市番禺区心血管疾病研究所) | Cross-platform medical data information uploading system based on artificial intelligence |
| CN111475654A (en) * | 2019-12-30 | 2020-07-31 | 北京国双科技有限公司 | Method and device for determining production fault of oil and gas field and establishing knowledge graph spectrum |
| CN112367206B (en) * | 2020-11-12 | 2021-10-22 | 珠海格力电器股份有限公司 | Configuration data processing method, device and system |
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