CN103970905A - Automatic composition and integration method for multi-source vector geographic information data - Google Patents

Automatic composition and integration method for multi-source vector geographic information data Download PDF

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CN103970905A
CN103970905A CN201410228057.7A CN201410228057A CN103970905A CN 103970905 A CN103970905 A CN 103970905A CN 201410228057 A CN201410228057 A CN 201410228057A CN 103970905 A CN103970905 A CN 103970905A
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information
gis
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middleware
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张可
柴毅
钱锟
熊英志
周国庆
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Chongqing University
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/252Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases

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Abstract

Provided is an automatic composition and integration method for multi-source vector geographic information data. The traditional technology is improved from two aspects that (1) for the fusion of multi-source GIS data, a GIS data middleware technology is adopted, respective tasks of a developer and a data provider are distinct, due to the fact that data middleware interfaces are arranged, spatial data provided by GIS systems in different types are received by different pieces of data middleware and are converted into one piece in standard GIS data, the multi-source spatial data can be loaded fast in parallel, and new data sources can be added subsequently through expansion; (2) for the charting process of the GIS data, the strategy of integrating the GIS data and map making is adopted in the method, the problem of the separation of the GIS application and the map making in the traditional charting mode is solved, and the phenomena of repetitive production of data and the like in the traditional charting mode are avoided.

Description

A kind of auto composition integration method of multi-source vectorial geographical information data
Technical field
The present invention relates to digital map-making technical field, particularly a kind of drafting method of multi-source VECTOR GIS data.
Background technology
Traditional map making is directly drawn by manual on paper material, not only inefficiency of this drawing practice, and amendment difficulty, and map upgrades very difficult.Along with the development of computer technology, computerized mapping has substituted manual drawing gradually.Computer aided drawing is to carry out the drafting of numerical map taking geographic information data (as measurement data or GIS data) as basis, so not only improve the production efficiency of data, and accelerated the speed of Data Update, map was produced with the update cycle and greatly shortened.GIS data are a kind of geographical spatial datas.Along with observation technology, Geographic Information System (Geographic Information System, GIS) developing rapidly of technology etc., the collection of spatial data geography information, storage, analysis, application form integrated gradually, and the GIS data that comprise a large amount of semantic informations have become the general data source of map making.Therefore, carry out digital cartography based on GIS data and become a research direction highly significant.
But, because the source of the GIS data for charting is varied, the spatial data differing in these sources is no matter be to be all not quite similar in expression way on form or again, therefore, in order to carry out the drafting of numerical map, that first will do carries out seamless fusion by the GIS data of separate sources exactly.Traditional multi-resources Geospatial Data Integration has following two kinds, and the one, Data exchange standardization pattern, the 2nd, operational standardization pattern.
Data exchange standardization, refers to the standard by setting up unified exchanges data, and retrains and the existing all kinds of Geographic Information System of specification with this, makes the Geographic Information System (GIS) data of different-format realize fusion.At present, most generalized information systems are all to realize in this way data sharing, but, this pattern is a kind of a kind of comparatively original and rudimentary scheme of spatial data fusion, it exists some problems: first, because the form of separate sources GIS data is not quite similar, their are not identical in mode when spatial object described yet, and therefore after conversion, can cause the disappearance of primary data information (pdi) and can not intactly give expression to its contained space environment geography information; Secondly, the transfer process complexity of data.In general, two kinds of different GIS data are in the time merging, all need through data-switching repeatedly, first raw data will convert the intermediate data of certain form to, and then by data consumer, intermediate data is changed into the data layout that native system can identify and be used.And, need to constantly carry out more news if run into data, the conversion between different data format will be more frequent, and this also can increase system overhead.
Operational standardization, refer to the interoperability specification (OGIS) of setting up a kind of open geodata that can jointly use between different generalized information systems, make can carry out between the generalized information system under heterogeneous states the interoperability of spatial geography data.This mode has extensibility, scalability and portability.But operational standardization pattern still exists some shortcomings, its process range only limits to the spatial data of standard, for off-gauge geographical spatial data, cannot process.
Finally, for final mapping process, because the Core Feature of GIS is analysis and the application of implementation space data, map making is a kind of form as its output, this output does not reach the formal requirement of publishing of map, therefore, in order to produce the map that can reach code requirement, map making separates gradually with GIS, this also just causes a lot of spatial databases of building can only adopt two sets of data to offer respectively map making and geoanalysis, thereby has also brought the series of problems such as Data duplication production, data redundancy, Data Update.Contradiction between GIS market demand and tradition drawing two large application demands, makes directly to utilize also existing problems of GIS data drawing.
Summary of the invention
Object of the present invention is just to provide a kind of auto composition integration method of multi-source vectorial geographical information data, it has also adopted Integrative to GIS data drawing course when Multi-source GIS data are integrated, solve the problem that in traditional drawing, GIS market demand separates with map making, avoided the Data duplication production problem in traditional drawing mode.
The object of the invention is to realize by such technical scheme, the geography information generalized information system that generates geographic information data includes more than one GIS server, each GIS server is all connected with one above for gathering the sensor of GIS data, and the concrete steps of the auto composition integration method of multi-source VECTOR GIS data are as follows:
1) Multi-source GIS data is integrated, and the GIS data from GIS server are carried out integrated and are converted to universal model data structure;
2) deposit the GIS data that transform into universal model data structure in database;
3) the GIS data and the map preparation that enter database are carried out to integrated operation.
Further, step 1) described in the integrated approach of multi-source VECTOR GIS data, concrete steps are as follows:
Be 1-1) from the packet generation middleware of every kind of different types of data of GIS server, utilize Semantic mapping technology to formulate mapped file, i.e. data middleware, explains data model and structure from each packet of GIS server;
1-2) utilize data middleware to convert the data source corresponding with it to normal data model, in master pattern, comprise meta file data, geometric data, attribute data and symbol data, again by kernel data interface by normal data model conversion COST system can directly use generic data model, kernel data interface is bottom communication interface, includes meta file data-interface, geometric data communication interface, attribute data communication interface and symbolic information data-interface;
1-3) generated data middleware management engine, for United Dispatching and management data middleware.
Further, generate step 1-1) described in the concrete grammar of data middleware be:
1-1-1) design generic data model storehouse, generic data model storehouse adopts the general Vector Data Model of System Based on GIS Data pack arrangement, general Vector Data Model is divided into figure layer 1, figure layer 2, a figure layer n, each figure layer all defined one group relevant from GIS server data bag in geographic significance, each figure layer is relatively independent in Organization of Data and structure; Under each figure layer, be divided into simple graph metaset, complicated figure metaset and topological data set according to the message structure of GIS server data bag again;
1-1-2) according to normal data model, geographic information data bag is explained interface by close friend, realizes decomposition and the attribute information mapping of geographic information data pack arrangement unit;
1-1-3) through the GIS data of decomposing and attribute information shines upon, by Semantic mapping template generated data middleware.
Further, step 1-1-2) described in the concrete steps of the decomposition of GIS packet structure unit and attribute information mapping as follows:
1-1-2-1) according to this standard data model, GIS packet is decomposed into several structural units, include:
A) data item corresponding to Back ground Information, includes projection pattern, coordinate unit, coordinate dimension and data format information from GIS raw data;
B) the corresponding data of attribute information and style information;
C) the corresponding data item of relation between pel, includes topological relation and continuity;
1-1-2-2) set up attribute information mapping table, the principle of following has:
A) inconsistent data dictionary item title data dictionary item is become unanimously;
B) before the data dictionary item of disparate relation and relation of inclusion, add identification code;
C) equal data dictionary item retains one, Delete superfluous item.
Further, step 1-1-3) described in Semantic mapping template comprise following information:
Mapped file information, for the Back ground Information of declarative semantics mapping;
Mapped file name, the title of generated data middleware;
Set of source data information, illustrates that the data layout of GIS packet is all kinds of, extension name, data acquisition software version and dataset name information;
Target data information, illustrates that the data layout after GIS packet conversion is all kinds of, extension name, data acquisition software version and dataset name information;
Data source store status, illustrates the original former file layout of GIS packet and stored data library information;
Set of source data Back ground Information, illustrates original GIS data Back ground Information, comprises coordinate, height space reference information and percent information;
Target data Back ground Information: the Back ground Information after GIS data-switching is described, comprises coordinate, height space reference information and percent information;
The source data set information table of comparisons, the structure that comprises vector graphical element object and style information.
Further, step 3) described in the preparation of GIS data and map to carry out the concrete steps of integrated operation as follows:
3-1) carry out cartographic data compensation according to the information of geographic elements of GIS data and coding criterion, prepare compensation data and comprise that annotation, linearization object and filling resemble; Annotation, extracts in the attribute field of the geographic element from universal model data structure; Linearization object and filled object, generate according to geographic element;
3-2) geographic element layering, to carrying out layering again through the data of cartographic data compensation.
Owing to having adopted technique scheme, the present invention has advantages of as follows:
The present invention improves conventional art from two aspects.
1, for the fusion of Multi-source GIS data, this method adopts GIS data middleware technology, developer and data set provider task are distinct, by the data middleware interface arranging, the spatial data that different classes of generalized information system provides receives and is converted in standard GIS data via different data middlewares, both can be fast, the multi-source Spatial Data that walked abreast loads, and can follow-uply increase new data source by expansion again.
2, for the drawing course of GIS data, this method has adopted GIS data and map making to carry out Integrative, has solved GIS in traditional drawing and has applied the problem separating with map making, has avoided the series of problems such as Data duplication production in traditional drawing mode.
Other advantages of the present invention, target and feature will be set forth to a certain extent in the following description, and to a certain extent, based on will be apparent to those skilled in the art to investigating below, or can be instructed from the practice of the present invention.Target of the present invention and other advantages can be realized and be obtained by instructions and claims below.
Brief description of the drawings
Brief description of the drawings of the present invention is as follows.
Fig. 1 is general Vector Data Model schematic diagram;
Fig. 2 is the abstract exemplary plot of cartographic data compensated part rule;
Fig. 3 is schematic flow sheet of the present invention;
Fig. 4 is data middleware product process schematic diagram;
Fig. 5 is GIS data and geographic mapping integrated process figure.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
Key step of the present invention comprises two steps: Multi-source GIS data integrated, GIS data loading and map making are carried out to integrated operation.Each several part process is as follows:
1, Multi-source GIS data is integrated
In this step, utilize GIS data middleware pattern to realize the integrated of Multi-source GIS data.The realization of data middleware pattern is divided into three parts: the realization of the realization of data middleware build environment, kernel data Interface realization, middleware management engine.The corresponding a kind of corresponding middleware of data source of every kind of different-format, as MapInfo data source is made an explanation to it by MapInfo data middleware.After Middleware implementation corresponding to every kind of formatted data, its compiling link is formed to DLL, and be registered in system, while running into again afterwards the data source of same format, just can call it by middleware management engine.Data source is after middleware is explained, what obtain is normal data model: the types such as meta file data, geometric data, attribute data and data symbol, in order to make the native system can usage data source, also need the generic data model through kernel data interface conversion COST system these normal data models.
The realization of 1-1, spatial data middleware build environment
Utilize Semantic mapping technology to formulate mapped file and come decryption model and structure, thereby realize the design of data middleware.
1-1-1, generic data model design
The high stage of data model mainly refers to the containing degree of model, and model is universal.High-level data model can reflect the situation of objective things to a great extent more comprehensively, more realistically.Otherwise, rudimentary model to the reflection relative thin of objective things a little less than some.Therefore in data conversion process, the high stage of data model has affected the precision of data-switching.Low level data model is in high-level data model conversion process, information is free of losses almost, the data item not possessing for rudimentary model, can be set as default value, but high-level data model is in low level data model conversion process, some peculiar information of rudimentary model representation high level model are wanted difficulty, therefore need to design a general powerful data model and facilitate data to transform.Semantic mapping is the mathematical logic that defines I/O based on general powerful data model.In this method, adopt the general Vector Data Model of object-oriented data structure as Fig. 1;
Wherein figure layer has defined one group of geographic element relevant in geographic significance, and each figure layer is relatively independent in Organization of Data and structure, and data query, renewal, analysis and demonstration are to scheme layer as fundamental unit.Workspace refers to data dictionary or the metadata in GIS data.In workspace, define continuous geographical space in certain area coverage, workspace comprises some figure layers, is mainly in order fully, effectively to manage spatial data.
1-1-2, the friendly generation of explaining interface
In the middle of the assembled arrangement of the semantic subsume of data model in each data cell and between data cell.In order to make the Semantic mapping of data model of multi-source data to the data model of standard, need to explain interface, the realization of explaining interface comprises the two parts of setting up of the decomposition of data structure cell and attribute information mapping table:
The decomposition of 1-1-2-1, data structure cell
According to the data model of the feature of former GIS data and standard, whole data structure is resolved into several structural units, i.e. the data item of vector graphical element object class, these data item comprise:
(1) the corresponding data item of Back ground Information: as the projection pattern of data source, coordinate unit, coordinate dimension, data layout;
(2) the corresponding data item of attribute information and style information;
(3) the corresponding data item of relation between pel: mainly refer to topological relation, in GIS data, topological relation is usually expressed as---line string is interconnective on node, polygon is made up of a series of line strings that are connected, record polygonal neighbor information to represent the continuity of topological structure.
The foundation of 1-1-2-2, attribute information mapping table
Setting up the principle that mapping table follows has:
(1) the inconsistent data dictionary item of data dictionary item title becomes unanimously, in the situation that semanteme is approximate, general detailed with information and attribute information approach profession character is as the criterion, and for example describing and defining is in fact same data dictionary item, they are become to one, be as the criterion to describe;
(2) before the data dictionary item of disparate relation and relation of inclusion, add identification code, for example DL-mapping Fundamental Geographic Information System, JB-1:25 cooperative figure geography information;
(3) equal data dictionary item retains one, and for example " title " only needs to retain one.
The customization of 1-1-3, semantic template
The core of Semantic mapping is semantic mapping file, and it is foundation and the rule that multi-source heterogeneous data source is carried out data-switching.Semantic mapping file generally occurs with the form of template.Thereby multi-source data carries out mutual process by data middleware and system fills in the initial data model mapping rule generation user data middleware corresponding with normal data model in fact exactly in semantic mapping file template.
Semantic mapping file template is divided into some trifles, be that a line is spaced from each other to show difference, and each provisional capital starts with key word between trifle and trifle by " # ".These trifles are specific as follows:
(1) mapped file information: this trifle has illustrated the Back ground Information of Semantic mapping, as author, date, basic condition description etc.;
(2) mapped file name, the i.e. title of data middleware;
(3) set of source data information: version, dataset name that data layout kind, extension name, data acquisition software are described;
(4) target data information: data layout kind, suffix name, the version of data acquisition software, dataset name are described;
(5) data source store status: data source file layout is described, database information;
(6) set of source data Back ground Information: comprise the georeferencing such as coordinate, elevation information, engineer's scale etc.;
(7) target data Back ground Information: comprise the georeferencing such as coordinate, elevation information, engineer's scale etc.;
(8) the source data set information table of comparisons: the structure, the style information that comprise vector graphical element object.
Through step 1-1-1,1-1-2,1-1-3, for explaining that the data middleware of effect has just generated, then, such middleware is formed to dynamic link library (DLL) by compiling link and be registered in system, run into again afterwards the GIS data type corresponding with this data middleware, just can make an explanation to GIS data by calling this data middleware, form various normal data models, as types such as meta file data, geometric data, attribute data, symbolic information.Then by kernel data interface, these standard data type are changed into the conventional data type that meets native system demand, so just realized Multi-source GIS data and arrived the integrated of native system universal class data.
1-2, kernel data Interface realization
Kernel data interface is that spatial data middle unit development personnel are according to the bottom communication interface of the Data Model Designing of the feature of spatial data and standard.When certain data middleware converts the data source corresponding with it to after the data model of various standards, these normal data models are by the needed generic data model of kernel data interface conversion COST system.Kernel data interface has following several: meta file data data interface, geometric data communication interface, attribute data communication interface, symbolic information data-interface.The specific implementation step of various interface below.
The Design and implementation of 1-2-1, meta file data data interface
Spatial source file is the descriptive information of spatial data source, is that of geographical spatial data is abstract.Form, content, position, space reference system, way to manage and other feature of meta file to data source is described and illustrates, helps and promotes the spatial data between different system successfully to change.
Meta file data generally include data source meta file data, figure layer meta file data and data file annotation information three parts.Data source file data are to data source summation.By this partial content, bottom data model and need to use the user of these data can know the information such as projection pattern, coordinate unit, coordinate dimension, data layout of this data source.Figure layer meta file essential record figure layer name, figure layer another name, the Symbol Style table and the geographical scope etc. of massacring the inhabitants of a captured city.Data file annotation information mainly refers to the particularly irrelevant annotation information of some and data-switching in data file of data source.
The concrete steps that in the present invention, the data-interface of meta file data is realized are:
(1) use C++ grammer by as follows meta file organization definition:
(2) definition Virtual Function arranges the data-interface of meta file, as: // the Data Input Interface Virtual void SetMetaFilelnfo (FILE*fp, METAFILEDATA metaFilelnfo) of meta file is set; // data output interface of meta file is set.
The Design and implementation of 1-2-2, geometric data communication interface
From object-oriented viewpoint, spatial data is abstracted into three kinds of simple types of ground objects of point, line, surface, as three kinds of object class simply independently, and the data member of this three kind is encapsulated in object class separately, the spatial entities of any complexity can be derived from or combination by these three kinds of graphics primitive objects, and Interface design step is:
(1) with reference to the normal vector data model of definition, determine inner graphics primitive object type.
(2) in the mode that represents of data structure, all kinds of primitive types are described.As
(3) write corresponding interface for every class primitive types, user only need require the data of oneself to import into according to the suction parameter of each API, data can be converted to the pel of kernel, and without being concerned about figure meta structure and generative process, algorithm.
The Design and implementation of 1-2-3, attribute data communication interface
Attribute data is the data of describing the attributive character of spatial data, is that geographic element is carried out to semantic description.In attribute data, some is and checks that data representation is closely-related, and grade, the type etc. of such as road are determining shape, color, size of road sign etc.Interface design step is:
(1) defined attribute field class
The data type of attribute field is more, conventionally by numeric type, character string, Boolean type, date type etc.Can consider that ColeVeriant class defines, this class is function data type completely, is attribute field class by this class definition
Data member, is to solve a more good way of attribute field type, for example:
(2) write corresponding interface for various data types and increase row name, train value.
(3) proceed to and produce for attribute coding
CString CodeToName(Long code,FILE*fp);
Long NameToCode(CString strName,FILE*fp)
The design of 1-2-4, data symbol communication interface and realization
The design performing step of interface is:
(1) base class of define symbol object---symbol class
(2) defining point (CPointSymbol), line (CPLineSymbol), this three classes symbol object class of face (CRegionSymbol)
(3) pel pattern Interface design
The pattern of // installation surface pel
Virtual void SetRegionObj(CRegionObj*,CRegionSymbol symbol);
The realization of 1-3, middleware management engine
Data middleware management engine occurs with the role of the overall virtual data access engine of spatial database, United Dispatching and management data middleware.It is an independent dynamic link library (DLL), this dynamic link library defines by abstract Vector Data Model all classes that data access needs, such as record, data set, table and workspace etc., the member function of this part class definition as database connection, establishment and Update Table source, read and process spatial data, attribute data etc., most of function definition of these classes is pure virtual function.In middleware management engine, only need the class of definition data source, as for MapInfo type data, in middleware management engine, define data source class CDataSource, such derived class in MapInfo data middleware is CMapInfoDataSource, and the realization of concrete data read operation class completes in MapInfo data middleware.Data middleware is also a series of dynamic link libraries that read and upgrade all kinds of spatial data sources in essence, and these dynamic base are inherited the class in middleware management engine and realized all Virtual Functions.
2, universal class data loading
Deposit the GIS data that are converted into universal model data structure in database, according to its operation of charting.
3, GIS data and map making carry out integrated operation
Being GIS data due to what store in database, there is inconsistency in these data and cartographic data, and in order to make their coordinating and unifyings in same system, native system is adopted with the following method and carried out drawing electronic map in conjunction with GIS visualization function.
(1) rule-based cartographic data compensation
The foundation in Fundamental Geographic Information System storehouse is the core of whole integrated realization flow.It requires data strictly to follow Fundamental Geographic Information System element category and coding criterion, takes into account cartography factor when coding is formulated, and the foundation compensating as mapping information.
Cartographic data compensation comprises annotation, linearization object and the large class of filled object 3, and wherein annotation can be extracted from the attribute field of geographic element, and by its labeling position of program setting; Linearization object and filled object generate with certain algorithm according to key element data acquisition.In this method, consider that different scale data build the difference of storehouse and drawing, adopt rule-based mapping information compensation policy, produce new geometric data or mark according to existing geometric data and attribute data, then by enriching constantly, improving and application rule storehouse, can reach the object of compensation disappearance mapping information.To the abstract example of part rule as Fig. 2;
(2) geographic element layering
Cartographic data compensation can recover the information lacking in GIS database, data, expresses guarantee is provided for drawing.But, through the data after cartographic data compensation, remain according to geographic entity and classify and organize, therefore must first carry out layering again, to solve the gland relation between symbol and symbol, then chart by the symbolism function of GIS software.
In general, map is to be formed by stacking from top to bottom according to data Layers such as annotation, reference mark, man-made features, railway, water system, landforms, and this just relates to the gland of data.In order to ensure the accuracy of overlay order, in the attribute list of relevant geographic element, increase an overlay field, this value larger more on upper strata, system is automatically identified the gland order of geographic element according to this field.
Through cartographic data compensation and geographic element layering, the GIS data that were originally not suitable for directly drawing have just converted to and have been suitable for the directly spatial data of drawing, and the map generating by GIS visualization function so also just meets the specification and requirement of drawing.
Finally explanation is, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement technical scheme of the present invention, and not departing from aim and the scope of the technical program, it all should be encompassed in the middle of claim scope of the present invention.

Claims (6)

1. the auto composition integration method of a multi-source vectorial geographical information data, the geography information generalized information system that generates geographic information data includes more than one GIS server, each GIS server is all connected with one above for gathering the sensor of GIS data, it is characterized in that, the concrete steps of the auto composition integration method of multi-source VECTOR GIS data are as follows:
1) Multi-source GIS data is integrated, and the GIS data from GIS server are carried out integrated and are converted to universal model data structure;
2) deposit the GIS data that transform into universal model data structure in database;
3) the GIS data and the map preparation that enter database are carried out to integrated operation.
2. the auto composition integration method of a kind of multi-source vectorial geographical information data as claimed in claim 1, is characterized in that step 1) described in the integrated approach of multi-source VECTOR GIS data, concrete steps are as follows:
Be 1-1) from the packet generation middleware of every kind of different types of data of GIS server, utilize Semantic mapping technology to formulate mapped file, i.e. data middleware, explains data model and structure from each packet of GIS server;
1-2) utilize data middleware to convert the data source corresponding with it to normal data model, in master pattern, comprise meta file data, geometric data, attribute data and symbol data, again by kernel data interface by normal data model conversion COST system can directly use generic data model, kernel data interface is bottom communication interface, includes meta file data-interface, geometric data communication interface, attribute data communication interface and symbolic information data-interface;
1-3) generated data middleware management engine, for United Dispatching and management data middleware.
3. the auto composition integration method of a kind of multi-source vectorial geographical information data as claimed in claim 2, is characterized in that, generates step 1-1) described in the concrete grammar of data middleware be:
1-1-1) design generic data model storehouse, generic data model storehouse adopts the general Vector Data Model of System Based on GIS Data pack arrangement, general Vector Data Model is divided into figure layer 1, figure layer 2, a figure layer n, each figure layer all defined one group relevant from GIS server data bag in geographic significance, each figure layer is relatively independent in Organization of Data and structure; Under each figure layer, be divided into simple graph metaset, complicated figure metaset and topological data set according to the message structure of GIS server data bag again;
1-1-2) according to normal data model, geographic information data bag is explained interface by close friend, realizes decomposition and the attribute information mapping of geographic information data pack arrangement unit;
1-1-3) through the GIS data of decomposing and attribute information shines upon, by Semantic mapping template generated data middleware.
4. a kind of auto composition integration method of multi-source vectorial geographical information data as described in claim 3, is characterized in that step 1-1-2) described in the decomposition of GIS packet structure unit and the concrete steps of attribute information mapping as follows:
1-1-2-1) according to this standard data model, GIS packet is decomposed into several structural units, include:
A) data item corresponding to Back ground Information, includes projection pattern, coordinate unit, coordinate dimension and data format information from GIS raw data;
B) the corresponding data of attribute information and style information;
C) the corresponding data item of relation between pel, includes topological relation and continuity;
1-1-2-2) set up attribute information mapping table, the principle of following has:
A) inconsistent data dictionary item title data dictionary item is become unanimously;
B) before the data dictionary item of disparate relation and relation of inclusion, add identification code;
C) equal data dictionary item retains one, Delete superfluous item.
5. a kind of auto composition integration method of multi-source vectorial geographical information data as described in claim 4, is characterized in that step 1-1-3) described in Semantic mapping template comprise following information:
Mapped file information, for the Back ground Information of declarative semantics mapping;
Mapped file name, the title of generated data middleware;
Set of source data information, illustrates that the data layout of GIS packet is all kinds of, extension name, data acquisition software version and dataset name information;
Target data information, illustrates that the data layout after GIS packet conversion is all kinds of, extension name, data acquisition software version and dataset name information;
Data source store status, illustrates the original former file layout of GIS packet and stored data library information;
Set of source data Back ground Information, illustrates original GIS data Back ground Information, comprises coordinate, height space reference information and percent information;
Target data Back ground Information: the Back ground Information after GIS data-switching is described, comprises coordinate, height space reference information and percent information;
The source data set information table of comparisons, the structure that comprises vector graphical element object and style information.
6. the auto composition integration method of a kind of multi-source vectorial geographical information data as claimed in claim 5, is characterized in that step 3) described in the preparation of GIS data and map to carry out the concrete steps of integrated operation as follows:
3-1) carry out cartographic data compensation according to the information of geographic elements of GIS data and coding criterion, prepare compensation data and comprise that annotation, linearization object and filling resemble; Annotation, extracts in the attribute field of the geographic element from universal model data structure; Linearization object and filled object, generate according to geographic element;
3-2) geographic element layering, to carrying out layering again through the data of cartographic data compensation.
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