CN103838826A - Integration method of dynamic heterogeneous space information plotting data - Google Patents
Integration method of dynamic heterogeneous space information plotting data Download PDFInfo
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- CN103838826A CN103838826A CN201410030761.1A CN201410030761A CN103838826A CN 103838826 A CN103838826 A CN 103838826A CN 201410030761 A CN201410030761 A CN 201410030761A CN 103838826 A CN103838826 A CN 103838826A
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Abstract
The invention provides an integration method of dynamic heterogeneous space information plotting data. The method mainly includes the steps of semantic ontology base building, data filtering, data conversion, fault tolerance management, space topology integration and plotting data integration base forming. Firstly, a dynamic heterogeneous plotting data semantic ontology base is built, a mapping rule in ontology is declared, precise meanings of concepts are determined, and the semantic heterogeneity problem is solved; whether metadata meet a required standard or not is judged, and the data are integrated and checked; then logical operation is conducted on data items, and derived data items are generated; according to a built fault tolerance rule base, incorrect data are saved and removed; meanwhile topological relationship processing is conducted on dynamic heterogeneous data elements, and eventually a dynamic heterogeneous plotting data integration base is formed. According to the method, complex data are made to be standardized, and workloads of data maintenance and interaction can be effectively reduced. Data content is defined and converted through metadata formats, and display of plotting data has expandability and flexibility.
Description
Technical field
The present invention has proposed a kind of plotting data integration method by space being marked and drawed to the taxonomic organization of data message and integrating flow process control, belong to spatial information Data Integration processing technology field, relate in particular to a kind of integration method of marking and drawing data for dynamic heterogeneous spatial information.Be applicable to that spatial information is marked and drawed to data and comprise text, image, audio frequency, the integration of video.
Background technology
Since the nineties in 20th century, along with the development of information, the communication technology, and the widespread use of remote sensing, Geographic Information System and satellite positioning tech, the obtain manner of spatial information is tending towards variation, and geospatial information increases by geometric progression.Spatial information data present distinct isomerism, have the feature of multi-source, multiple dimensioned, multidate.But due to the existing limitation of various data self, be that the information that a large amount of spatial information data cannot be utilized effectively and user is required cannot, meet in time, so spatial information Data Integration and renewal, information is integrated becomes academia's advanced subject, critical technical research with fusion.The Spatial Database starting of China is more late, and many databases have just completed or supposed, the theory of spatial information integration, the research of method and technology are also very weak, in the urgent need to science tackling key problem, raising integral level.Data Integration (data integration) refers to and methods such as adopting coupling, synthetic, link separate sources data is integrated to the process that offers a new data set of user.Data Integration research abroad starts from the eighties in 20th century, experiences the development of more than 20 year, mainly contains at present the Data Integration of two kinds of structures: the method based on data warehouse and the method based on Mediator/Wrapper structure.Both at home and abroad a large amount of scholars have carried out a large amount of research to the technology of Data Integration, from different technological layers, data are integrated into row research, comprise database integration/integrated, mode integrated/integrated, integration based on body/integrated, and semantic integration/integrated etc.Because spatial data has multi-source, multiple dimensioned characteristic, scholars more both domestic and external are studied for the integrated technology of spatial data.It is integrated that some scholars propose that multi-source Spatial Data is carried out to semanteme; Some scholars propose the data integrating method based on GML.
The geodata of different departments is due to application purpose difference, multi-semantic meaning, multi-space, the difference of storage format and the difference of data model and storage organization etc. of areal, same metric space data are caused, bring very big difficulty to data sharing and data integration between GIS department, geography information is shared the focus that becomes gradually various countries' scholar's research.Especially different data production divisions, the data standard, the specification difference that adopt because meeting user's different demands, there is very large difference at the division of geographic element layer, the aspect such as classify and grading, definition, geographic element attribute definition and the geographic element attribute coding mode of geographic element of geographic element, having caused multi-source heterogeneous geography information diversity semantically, is to cause data directly mutually to use and shared main cause.
Therefore need, to carrying out semantic conversion, mapping between Heterogeneous Geospatial Information, to realize the shared focus that becomes on geography information semantic hierarchies.The semantic components analysis foot of spatial information resolves into " meaning " of spatial information language the process of " semantic feature ".The inherent semantic feature reflection Space Elements of spatial information and the objective essence of phenomenon are the understanding by rule of thumb or to objective things essence and the semantic feature analyzing out.Therefore can think, inherent semantic feature comes from the body of the expressed real world of concept.The inherent semantic feature of summing up spatial information by study for moumenon is a feasible approach.
Geospatial information semanteme and ontology research are brand-new research fields, and the time of carrying out is shorter.Geographical semantics is implication and the relation of the geographic concepts of geography information representative, and geographical semantics is abstract to spatial data, is the higher level logical expressions of spatial data.The research of geography information semantic sharing is for ensureing that consistance, stability that in geography information shared procedure, data are understood have important practical significance.Ontology provides the set of concept in Geographical Information Sciences field, and the basic fundamental of the Semantic mapping based on body is structurized geographic information data table to be mapped to the class of ontology, and the row of tables of data is mapped to the attribute of ontology class.Semantic mapping based on body needs model area of geographic information body, then sets up local ontology according to concrete application, solves the Semantic mapping between isomery geography information on this basis according to the mutual relationship of asking of ontology class.Can reflect the concrete representational word finder of relation between these objects and object by design, body to research field is described, and can effectively promote to come from the integrated etc. of the interchange between the researchist of different field, the communication between software agent and interoperability, heterogeneous data source.
Spatial information is marked and drawed data from different databases and complicated incidence relation, thereby causes the features such as data disunity, lack of standardization, incidence relation is chaotic.Therefore, mark and draw the problem of the existence of data for spatial information described above, need a kind of new efficient Heterogeneous Spatial Information to mark and draw data integration method.
The present invention is directed to dynamic heterogeneous spatial information and mark and draw data, a kind of brand-new dynamic heterogeneous spatial information data integration method has been proposed, with various countries, spatial information being marked and drawed to object studies, set up Ontology storehouse, mapping ruler in statement body, solve spatial information and mark and draw the difference on Object Semanteme, to carrying out different plotting situations (the different mark of jljl, with mark foreign matter etc.), differently marking and drawing the automatic/semi-automatic integration that data type (text, image, sound, video, etc.) is marked and drawed content.The integration efficiency of lifting being marked and drawed to data is significant.
Summary of the invention
The invention provides a kind of spatial information and mark and draw effectively integrating of data and be conducive to fully understand that spatial information plotting data provide the integration method for dynamic heterogeneous spatial information plotting data that maximizes help, to solve the deficiencies in the prior art.
For achieving the above object, the present invention is by the following technical solutions:
An integration method of marking and drawing data for dynamic heterogeneous spatial information, mainly comprises the following steps:
(1) spatial information is marked and drawed the construction of Object Semanteme ontology library
The problem (comprising " with mark foreign matter, the different mark of jljl " problem) that causes semantic differentiation is studied, professional domain, the object of applied ontology etc. that the plotting Object Semanteme body clearly building covers, enumerate important terms, concept in field, thereby structure body frame, design element body, and to domain body coding, formalization, body is carried out to calibration evaluation, whether satisfy the demands, body is set up criterion etc.Form spatial information and mark and draw the Ontology storehouse construction of object.According to concrete application build local ontology, on this basis according to the Semantic mapping rule between the mutual relationship statement Heterogeneous Spatial Information between body class.
(2) marking and drawing data acquisition extracts:
1. exist the business datum in advance data storehouse to adopt the mode of marking and drawing the preposition exchange of data message to process, the department that participates in message exchange adopts front end processor mode to realize exchanges data, is made up of operating system, preposition exchange plotting information bank, message exchange communication interface, message exchange bridge joint; The department that takes part in building sends to front end processor by department LAN the data of needs exchange, data are sent to information exchange platform by front end processor, message exchange not platform is carried out according to operation flow, data being sent to certain front end processor in network after respective handling to data, the business department at front end processor place just can directly obtain needed data by front end processor, implementation space information plotting data in real time, submission dynamically.
2. the collection extraction tool of marking and drawing data arrange safety between the business datum that realizes different business storehouse, reliable, stable, mark and draw data acquisition extraction system efficiently, the business datum that this plotting data acquisition extraction system provides certain unit by data transmission, information encryption, format conversion, system management means gathers, extracts, loads to form marks and draws the original storehouse of data.
(3) analysis of marking and drawing data is processed:
Marking and drawing data filtering converting system is to filter processing the data that collected in middle database, conversion, in conjunction with marking and drawing mapping ruler in object Ontology storehouse and body, realize the processing to different pieces of information according to certain filtration, transformation rule, suspicious data are processed, comprise fault-tolerant management and spatial topotaxy integration, the correct data of filtering after conversion is deposited in to the plotting final storehouse of data, for each data subsystem construction provides support.
(4) form and mark and draw the final storehouse of data:
Mark and draw the final storehouse of data is the final plotting database being formed by data acquisition extraction above and Machining Analysis later, for other operation systems provide data supporting; Finally by arrange Security Administration Department realize data staging management, rights management, with safety just recognizing, security audit etc., the data of different safety class are encrypted, realize data safety backup.
Mark and draw the construction of Object Semanteme ontology library for the spatial information carrying out in step (1), mainly mark and draw class in Object Semanteme body, in taxonomy hierarchical system, arrange body class by carrying out definition space information, defined attribute plug-in unit is also described the assignment of its permission, the single instance of definition class, adds specific attribute plug-in unit assignment information and restrictive condition.
For mapping ruler in the statement body carrying out in step (1), main by marking and drawing at spatial information on the basis of Object Semanteme body, build concrete application and build local ontology, realize according to the mutual relationship of marking and drawing between Object Semanteme body class the Semantic mapping rule building between Heterogeneous Spatial Information plotting data.
For the data acquisition of carrying out in step (2), mainly by data acquisition and exchange system, each business datum is aggregated into switching centre simultaneously, form original plotting data message storehouse; Then according to certain rule, summary information is carried out to consistency on messaging comparison processing, the result of comparison returns to department and switching centre through information exchange platform, and switching centre stores complete, consistent resource information data into resource data final storehouse.
Adopt regular extraction operation system is set for the data pick-up carrying out in step (2), the data extraction module that comprises front end processor extracts incremental data from each operation system, data pick-up processing can regularly or at any time start, and increases incremental data mark when data enter front end processor; Resource platform regularly or at any time starts the flow process extracting from preposition machine data.
For the data filtering carrying out in step (3), mainly by definition data filtering rule, in conjunction with marking and drawing Object Semanteme ontology library, the data that extraction collection is drawn into are carried out problem data and are carried out problem data filtration, and the problem data filtering out is checked to error correction;
For the data-switching of carrying out in step (3), mainly by definition data conversion rule, in conjunction with the Ontology Mapping rule of marking and drawing in data semantic ontology library, data after data filtering are carried out to logical operation, generated data switch target data, to ensure the validity of data.
For the fault-tolerant management carrying out in step (3), mainly by building a fault-tolerant rule base, deposit the fault-tolerant and logical operation logic rules table of various forms, under the integrality that ensures to mark and draw content, incorrect data acquisition is gone bail for deposit, the processing such as rejecting.
Integrating for the spatial topotaxy carrying out in step (3), is mainly by adopting Topology generation algorithm, the mistake existing in vector data dotted line face being eliminated, to ensure the quality of the spatial information plotting data after integration.
The beneficial effect of a kind of integration method for dynamic heterogeneous spatial information plotting data of the present invention is:
(1) be conducive to the plotting data of separate sources to extract by exchanging or gathering the plotting data raw data set that forms consolidation form, then, more logical
Cross data processing and process the final storehouse of plotting data that forms specification, standard;
(2) complexity, chaotic spatial information can be marked and drawed to data normalization, standardization;
(3) extract, filter conversion, self-defining data processing mode by visual configuration interface, traceable data acquisition, make whole running stream
Journey is easy, easy-to-use;
(4) by using XML format mode to define and translation data content, make data display have more extensibility and dirigibility.
(5) eliminate Semantic Heterogeneous by the mode that builds the bright Semantic mapping rule of Ontology storehouse harmony, make to mark and draw object and there is semantic consistency, possess
Semantic reasoning ability.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of marking and drawing data integration method described in the embodiment of the present invention for dynamic heterogeneous spatial information.
Embodiment
As shown in Figure 1, the integration method for dynamic heterogeneous spatial information plotting data under the embodiment of the present invention, whole technical scheme figure can be divided into the integration method of marking and drawing data for dynamic heterogeneous spatial information to set up plotting Object Semanteme ontology library, marking and drawing data acquisition extracts, mark and draw data filtering conversion, form and mark and draw these four technology parts of the final storehouse of data, mainly comprise the following steps:
(1) set up and mark and draw Object Semanteme ontology library:
Use the Prot é g é ontology development instrument of increasing income of the Stanford Medical Infomatics exploitation of Stanford Univ USA, carry out the Ontology of expression of space information plotting object.Prot é g é exploitation body construction shows, can add easily or edit class, subclass, attribute, example etc. with tree-like hierarchical structure bibliographic structure, the basic function of body construction is provided, and can have realized by OWL Viz Tab the Visualization of body.Use the body representation language based on OWL, according to the formal description geographical knowledge of class and attribute, can express to clear and definite semanteme and the mutual relationship thereof of geographic concepts.OWL language has logical reasoning ability, can carry out semantic extension and description, and more multilist reaches geography information semanteme, realizes the mapping ruler in Ontology.The Jena development kit that employing is increased income is realized, and for the exploitation of Ontology application program, supports rule-based simple inference, realizes and intrinsic mapping ruler.
(2) collection of marking and drawing data is extracted:
1. exist the plotting data in advance data storehouse to adopt the mode of the preposition exchange of resource data information to process, the department that participates in message exchange adopts front end processor mode to realize exchanges data, is made up of operating system, preposition exchange resource information bank, message exchange communication interface, message exchange bridge joint; Mark and draw data production division, by department LAN, the data of needs exchange are sent to front end processor, data are sent to information exchange platform by front end processor, information exchange platform carries out according to operation flow, data being sent to certain front end processor in network after respective handling to data, and the business department at front end processor place just can directly obtain needed data by front end processor;
2. the collection extraction tool of marking and drawing data arranges safety between the plotting data that realize different aforementioned sources, reliably, stablize, mark and draw efficiently data acquisition extraction system, this plotting data acquisition extraction system by data transmission, information encryption, format conversion, system management a series of in section by the business datum providing from certain information source, according to demand, take manual, semi-automatic or automatic method to gather, extract, load to form to mark and draw the original storehouse of data according to certain rule.
(3) filtration of marking and drawing data is changed:
Marking and drawing data filtering converting system is to filter processing the data that collected in middle database, conversion, in conjunction with marking and drawing mapping ruler in object Ontology storehouse and body, realize the processing to different pieces of information according to certain filtration, transformation rule, suspicious data are processed, comprise fault-tolerant management and spatial topotaxy integration, the correct data of filtering after conversion is deposited in to the plotting final storehouse of data, for each data subsystem construction provides support.First the plotting data in each channel source are marked and drawed to Object Semanteme ontology library by combining space information, then carry out duplicate removal, go the data filtering processing such as ambiguity, numbering, classification, name, form normalized data; Data are being carried out after filtration treatment, according to the demand of marking and drawing data, in conjunction with the Semantic mapping rule of statement, the form that becomes target data to require the data-switching in raw data base, when being included according to analysis and processing, data are changed, the data from filtering, according to application demand, are carried out to logical operation, convert the form that target data requires to, ensure the validity of data.In situation about guaranteeing data integrity, formulate fault-tolerant rule, incorrect data acquisition is gone bail for deposit, the fault-tolerant management processing such as rejecting.The topological relation existing in data is arranged simultaneously, eliminate the mistake existing in data, ensure the quality of data.Mark and draw the feature of data type (text, image, audio frequency, video etc.) object according to difference and set up relevant data filtering rule, transformation rule, fault-tolerant rule and topological relation arrangement rule, and the setting of according to this disposal system being correlated with, thereby improve robotization and the efficiency of marking and drawing data filtering conversion.
(4) form and mark and draw the final storehouse of data:
Mark and draw the final storehouse of data is the final resource database being formed by data acquisition extraction above and Machining Analysis later, for other operation system provides data supporting; Finally, realize data staging management, rights management by Security Administration Department is set, with safety certification, security audit etc., the data of different safety class are encrypted, realize data safety backup.
Take above overall frame structure, mainly there is following advantage: 1. adopt exchange front end processor and preposition exchange to mark and draw data asset information storehouse, can effectively exchange network and department service Network Isolation be come, ensure department service system and the security performance of marking and drawing content-data information bank.2. adopt message exchange bridge joint to realize the online real-time exchange of department service information bank and preposition exchange plotting data message storehouse, meet the online target of marking and drawing in real time data information exchange between all departments; 3. set up the information exchange platform that has center exchange of management function, can be convenient to the expansion of system management and system; 4. build based on information exchange platform, can be reliable in guarantee information, efficient, under the prerequisite of safe transmission, support various heterogeneous platforms or data source, be convenient to the Quick Extended of platform; 5. whole system has good extendability, meets national government affairs information Resource Exchange system standard and other relevant criterion.6. adopt the Data Integration mechanism of marking and drawing Object Semanteme ontology library of setting up, by the term constraint constrains body of setting up, rely on manual intervention, set up plotting Object Semanteme and shine upon to realize, can effectively solve the semantic differentiation problem of spatial information, obtain marking and drawing the good synergy of data.
The integration method for dynamic heterogeneous spatial information plotting data described in the above embodiment of the present invention, mark and draw the Ontology ontology library of object for the foundation of carrying out in step (1), mainly by expressing Ontology with Prot é g é ontology development instrument, carry out expression of space information and mark and draw the Ontology of object, and use body representation language based on OWL clearly to express semanteme and the mutual relationship thereof of geographic concepts.Mainly possess 1. semantic uniqueness of following advantage, the spatial information plotting object based on Ontology can be eliminated the extensive Semantic Heterogeneous of the expression to spatial entities of the same name, makes spatial information have unique semanteme and 2. has semantic reasoning ability.Based on description logic and OWL language, adopt OO method, by the mutual relationship between definition class, attribute, possess the ability that integrated multi-source heterogeneous loosely-coupled spatial information carries out reasoning.
The integration method for dynamic heterogeneous spatial information plotting data described in the above embodiment of the present invention, for the data acquisition modes carrying out in step (2), mainly by data acquisition and exchange system, each business datum is aggregated into switching centre simultaneously, forms original plotting data message storehouse; Then according to certain rule, summary information is carried out to consistency on messaging comparison processing, the result of comparison returns to department and switching centre through information exchange platform, and switching centre stores complete, consistent resource information data into resource data final storehouse.Data acquisition modes is:
1. operation system and advance data storehouse are synchronous: adopt database synchronization technology to realize the data to required collection, the synchronous processing (database of front end processor refers to have the database structure identical with each operation system) from business system database to front end processor;
2. resource platform extracts incremental data from front end processor, data pick-up flow process can regularly or at any time start, data extraction module extracts incremental data from preposition machine data storehouse, be collected into data resource platform (incremental data recognition method refers to that data extraction module, according to update time stamp or other distinguishing mark, extracts the incremental data of each operation system);
The integration method for dynamic heterogeneous spatial information plotting data described in the above embodiment of the present invention, carries out data pick-up employing for institute in step (2) regular extraction operation system is set, and comprising:
1. the data extraction module of front end processor extracts incremental data from each operation system, data pick-up processing can regularly or at any time start, when entering front end processor, data increase incremental data mark (i.e. database structure and the database different from each operation system of the database of front end processor, adopt adapter to carry out data pick-up to different Service Databases), (incremental data recognition method refers to that data extraction module, according to update time stamp or other distinguishing mark, extracts the incremental data of each operation system);
2. resource platform regularly or at any time starts the flow process extracting from preposition machine data: data pick-up extracts incremental data from preposition machine data storehouse, be collected into data resource platform.
The integration method for dynamic heterogeneous spatial information plotting data described in the above embodiment of the present invention, for the data processing processing mode of carrying out in step (3) be: the plotting data to each channel source are marked and drawed Object Semanteme ontology library by combining space information, then carry out duplicate removal, go the data filtering processing such as ambiguity, numbering, classification, name, form normalized data; Data are being carried out after filtration treatment, according to the demand of marking and drawing data, in conjunction with the Semantic mapping rule of statement, the form that becomes target data to require the data-switching in raw data base, when being included according to analysis and processing, data are changed, the data from filtering, according to application demand, are carried out to logical operation, convert the form that target data requires to, ensure the validity of data.In situation about guaranteeing data integrity, formulate fault-tolerant rule, incorrect data acquisition is gone bail for deposit, the fault-tolerant management processing such as rejecting.The topological relation existing in data is arranged simultaneously, eliminate the mistake existing in data, ensure the quality of data.Mark and draw the feature of data type (text, image, audio frequency, video etc.) object according to difference and set up relevant data filtering rule, transformation rule, fault-tolerant rule and topological relation arrangement rule, and the setting of according to this disposal system being correlated with, thereby improve robotization and the efficiency of marking and drawing data filtering conversion.This data processing processing mode has following feature: 1. adopt platform architecture and design based on J2EE, and utilization advanced person's struts at present, the technological development such as hibermate realize, and support the various applied environments such as Tomcat, WebLogic, WebSphere, Apusic; 2. provide based on various domestic and international Sybases, as: interface definition and the information processing of the data systems such as Oracle, SQL Server, Access, Sybase, the information source of processing can freely define, and supports the various operating system platforms such as Unix, Windows, Linux; 3. support information pre-service and the processing policy of various data processing, data processing processing engine unified, efficient, multitask is provided, can define and configure flexibly, dynamically concrete data process and processing mode; 4. adopt multi-theread processor system, support the multiple task management function of a set of system of processing, various tasks can freely define and manage concentratedly, and operation interface and use are very simply clear; 5. support the information processing based on various file based database application systems, as: Shp, DBF, EXECL, XML, GML etc., information processing strategy and configuration are used unified, easy management platform and instrument; 6. support resource data are automatically processed processing, are processed the various processing modes such as processing in work, also can further implement to the result data after processing the service functions such as processing result output or statistical study; 7. the processing of detailed information is provided and processes log services, log category and detailed levels degree that can self-defined needs; 8. completely independently secure access and control system are provided, and various operations and resource are with completing by definition role and user etc.; 9. adopt B/S architecture design and exploitation, user's use and administration interface are directly perceived, simple, need hardly special training, and product provides the functions such as online use help simultaneously.
The integration method for dynamic heterogeneous spatial information plotting data described in the above embodiment of the present invention, for the data processing treatment scheme of carrying out in step (3) is:
1. first the plotting data that collect are carried out to data pre-service, mainly comprise marking and drawing data content, carry out standardization processing, comprising: the full-shape half-angle and the space etc. that in some critical fielies of specification, whether comprise " one ", specification Chinese and English title;
2. information center's system is extracted and need to be carried out system and automatically process processing the data of processing, mark and draw data and will mark and draw data according to certain Codes and Standards by data acquisition extraction tool, after being extracted, data acquisition forms the original original storehouse of plotting data, then data are filtered according to certain data filtering rule by Data Integration engine, form the plotting data repository after a filtration, owing to coming there is complicated incidence relation between source data, therefore need to adopt certain data conversion rule to carry out data-switching to the plotting data repository after filtering.In the situation that guaranteeing data integrity, need to formulate fault-tolerant rule, incorrect data acquisition is gone bail for deposit, the fault-tolerant management processing such as rejecting, integrate marking and drawing the topological relation existing in data simultaneously, eliminate Topology Error, final formation marked and drawed the final storehouse of data, finally final storehouse formed and marks and draws the formal storehouse of data, for the application of other operation systems.
3. in data processing disposal system according to certain rule configuration data processing mode, then executing data processing can be by the purpose data classifying after processing to marking and drawing the final storehouse of data.
Above embodiment is the more preferably one of embodiment of the present invention, and the common variation that those skilled in the art carry out within the scope of the technical program and replacement should be included in protection scope of the present invention.
Claims (5)
1. spatial information is marked and drawed Object Semanteme ontology library construction technique: carry out spatial information and mark and draw the construction of Object Semanteme ontology library, adopt the body representation language of OWL.The problem (comprising " with mark foreign matter, the different mark of jljl " problem) that causes semantic differentiation is studied, professional domain, the object of applied ontology etc. that the plotting Object Semanteme body clearly building covers, enumerate important terms, concept in field, thereby structure body frame, design element body, and to domain body coding, formalization, body is carried out to calibration evaluation, whether satisfy the demands, body, the Ontology storehouse that forms spatial information plotting object is built if setting up criterion etc.According to concrete application build local ontology, according to the Semantic mapping rule between the mutual relationship statement Heterogeneous Spatial Information between body class, meanwhile, carry out fault-tolerant management on this basis, formulate fault-tolerant rule base, preserve the fault-tolerant and fault-tolerant logic rules table of logic of various forms.
2. mark and draw data acquisition: the business datum in advance data storehouse adopts the mode of marking and drawing the preposition exchange of data message to process, the department that participates in message exchange adopts front end processor mode to realize exchanges data, is made up of operating system, preposition exchange plotting information bank, message exchange communication interface, message exchange bridge joint; The department that takes part in building sends to front end processor by department LAN the data of needs exchange, data are sent to information exchange platform by front end processor, information exchange platform carries out according to operation flow, data being sent to certain front end processor in network after respective handling to data, the business department at front end processor place just can directly obtain needed data by front end processor, implementation space information plotting data in real time, submission dynamically.That is: data acquisition is mainly aggregated into switching centre by data acquisition and exchange system by each business datum simultaneously, forms original plotting database information storehouse; Then according to certain rule, summary information is carried out to consistency on messaging comparison processing, the result of comparison returns to department and switching centre through information exchange platform, and switching centre stores complete, consistent resource information data to mark and draw the original storehouse of data into.
3. mark and draw data pick-up: data pick-up adopts regular extraction operation system is set, the data extraction module that comprises front end processor extracts incremental data from each operation system, and the business datum that this plotting data acquisition extraction system provides certain unit by data transmission, information encryption, format conversion, system management means gathers, extracts, loads to form marks and draws the original storehouse of data; Data pick-up processing can regularly or at any time start; Resource platform regularly or at any time starts the flow process extracting from preposition machine data.
4. mark and draw data Machining Analysis: marking and drawing data filtering converting system is to filter processing the data that collected in middle database, conversion, in conjunction with marking and drawing mapping ruler in object Ontology storehouse and body, realize the processing to different pieces of information according to certain filtration, transformation rule, suspicious data are processed, comprise fault-tolerant management and spatial topotaxy integration, the correct data of filtering after conversion is deposited in to the plotting final storehouse of data, for each data subsystem construction provides support.
5. mark and draw the final storehouse of data: mark and draw the final storehouse of data is the final plotting database being formed by data acquisition extraction above and Machining Analysis later, for other operation systems provide data supporting; Finally realize data staging management, rights management by Security Administration Department is set, with safety certification, security audit etc., the data of different safety class are encrypted, realize data safety backup.
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| CN104572999A (en) * | 2015-01-07 | 2015-04-29 | 北京数码大方科技股份有限公司 | Heterogeneous data based detecting method and device for fault data |
| CN104598606A (en) * | 2015-01-30 | 2015-05-06 | 北京东方泰坦科技股份有限公司 | Integration method aiming at dynamic heterogeneous spatial information plotting data |
| CN104794151A (en) * | 2015-01-30 | 2015-07-22 | 北京东方泰坦科技股份有限公司 | Spatial knowledge service system building method based on collaborative plotting technology |
| CN104933095A (en) * | 2015-05-22 | 2015-09-23 | 中国电子科技集团公司第十研究所 | Heterogeneous information universality correlation analysis system and analysis method thereof |
| CN105005578A (en) * | 2015-05-21 | 2015-10-28 | 中国电子科技集团公司第十研究所 | Multimedia target information visual analysis system |
| CN105138642A (en) * | 2015-08-25 | 2015-12-09 | 航天恒星科技有限公司 | Dynamic plotting method and device based on HTML5 |
| CN106227898A (en) * | 2016-08-31 | 2016-12-14 | 江苏艾倍科科技股份有限公司 | A kind of Big Dipper moves wearable device data and administers platform and data administering method thereof |
| CN106453490A (en) * | 2016-08-31 | 2017-02-22 | 江苏艾倍科科技股份有限公司 | Data integration platform for Beidou mobile wearable devices and data governance method thereof |
| CN106446036A (en) * | 2016-08-31 | 2017-02-22 | 江苏艾倍科科技股份有限公司 | Standard data platform for Beidou mobile wearable equipment |
| CN106649342A (en) * | 2015-10-30 | 2017-05-10 | 北京国双科技有限公司 | Data processing method and apparatus in data acquisition platform |
| CN106776974A (en) * | 2016-12-06 | 2017-05-31 | 广东金赋科技股份有限公司 | A kind of big data monitoring method based on configuration, device and platform |
| CN107193858A (en) * | 2017-03-28 | 2017-09-22 | 福州金瑞迪软件技术有限公司 | Towards the intelligent Service application platform and method of multi-source heterogeneous data fusion |
| CN107861965A (en) * | 2017-05-19 | 2018-03-30 | 广东精点数据科技股份有限公司 | Data intelligence recognition methods and system |
| CN109064000A (en) * | 2018-07-25 | 2018-12-21 | 天图软件科技有限公司 | The methods, devices and systems of natural resources audit |
| CN112347113A (en) * | 2020-09-16 | 2021-02-09 | 北京中兵数字科技集团有限公司 | Aviation data fusion method, aviation data fusion device and storage medium |
| CN114379608A (en) * | 2021-12-13 | 2022-04-22 | 中铁南方投资集团有限公司 | Multi-source heterogeneous data integration processing method for urban rail transit engineering |
-
2014
- 2014-01-23 CN CN201410030761.1A patent/CN103838826A/en active Pending
Non-Patent Citations (1)
| Title |
|---|
| 王强: "空间信息服务聚合的关键技术研究", 《中国博士学位论文全文数据库 基础科学辑》 * |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104572999A (en) * | 2015-01-07 | 2015-04-29 | 北京数码大方科技股份有限公司 | Heterogeneous data based detecting method and device for fault data |
| CN104598606A (en) * | 2015-01-30 | 2015-05-06 | 北京东方泰坦科技股份有限公司 | Integration method aiming at dynamic heterogeneous spatial information plotting data |
| CN104794151A (en) * | 2015-01-30 | 2015-07-22 | 北京东方泰坦科技股份有限公司 | Spatial knowledge service system building method based on collaborative plotting technology |
| CN105005578A (en) * | 2015-05-21 | 2015-10-28 | 中国电子科技集团公司第十研究所 | Multimedia target information visual analysis system |
| CN104933095A (en) * | 2015-05-22 | 2015-09-23 | 中国电子科技集团公司第十研究所 | Heterogeneous information universality correlation analysis system and analysis method thereof |
| 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 |
| CN105138642A (en) * | 2015-08-25 | 2015-12-09 | 航天恒星科技有限公司 | Dynamic plotting method and device based on HTML5 |
| CN106649342A (en) * | 2015-10-30 | 2017-05-10 | 北京国双科技有限公司 | Data processing method and apparatus in data acquisition platform |
| CN106446036A (en) * | 2016-08-31 | 2017-02-22 | 江苏艾倍科科技股份有限公司 | Standard data platform for Beidou mobile wearable equipment |
| CN106453490A (en) * | 2016-08-31 | 2017-02-22 | 江苏艾倍科科技股份有限公司 | Data integration platform for Beidou mobile wearable devices and data governance method thereof |
| CN106227898A (en) * | 2016-08-31 | 2016-12-14 | 江苏艾倍科科技股份有限公司 | A kind of Big Dipper moves wearable device data and administers platform and data administering method thereof |
| CN106776974A (en) * | 2016-12-06 | 2017-05-31 | 广东金赋科技股份有限公司 | A kind of big data monitoring method based on configuration, device and platform |
| CN106776974B (en) * | 2016-12-06 | 2019-08-20 | 广东金赋科技股份有限公司 | A kind of big data monitoring method and device based on configuration |
| CN107193858A (en) * | 2017-03-28 | 2017-09-22 | 福州金瑞迪软件技术有限公司 | Towards the intelligent Service application platform and method of multi-source heterogeneous data fusion |
| CN107861965A (en) * | 2017-05-19 | 2018-03-30 | 广东精点数据科技股份有限公司 | Data intelligence recognition methods and system |
| CN109064000A (en) * | 2018-07-25 | 2018-12-21 | 天图软件科技有限公司 | The methods, devices and systems of natural resources audit |
| CN112347113A (en) * | 2020-09-16 | 2021-02-09 | 北京中兵数字科技集团有限公司 | Aviation data fusion method, aviation data fusion device and storage medium |
| CN112347113B (en) * | 2020-09-16 | 2021-12-14 | 北京中兵数字科技集团有限公司 | Aviation data fusion method, aviation data fusion device and storage medium |
| CN114379608A (en) * | 2021-12-13 | 2022-04-22 | 中铁南方投资集团有限公司 | Multi-source heterogeneous data integration processing method for urban rail transit engineering |
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