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CN104021177B - With reference to semantic net and the information integration method of geography information feature - Google Patents

With reference to semantic net and the information integration method of geography information feature Download PDF

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CN104021177B
CN104021177B CN201410244507.1A CN201410244507A CN104021177B CN 104021177 B CN104021177 B CN 104021177B CN 201410244507 A CN201410244507 A CN 201410244507A CN 104021177 B CN104021177 B CN 104021177B
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geography information
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information
service
geography
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CN104021177A (en
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张莹
滕婧
何慧
王竹晓
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North China Electric Power University
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North China Electric Power University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The information integration method of a kind of combination semantic net and geography information feature in the invention discloses Computer Applied Technology field.Including：Service models are built, the supplier of Web APIs is built Web API, user calls corresponding service to obtain geography information；The mapping set up between the geography information and given body, and for the geography information adds semantic information；Mapped for the geography information, eliminate the heterogeneity between various resource datas, and add semantic information；Geography information to being obtained from various information resources is associated merging；The geography information of integrated multiple data sources.This invention removes the heterogeneity between different resource, amount of redundant information is eliminated, increased complementary information, realize the interpretative function between information resources, save the expense mutually translated between the information resources of different language.

Description

With reference to semantic net and the information integration method of geography information feature
Technical field
The invention belongs to Computer Applied Technology field, more particularly to a kind of combination semantic net and geography information feature letter Breath integrated approach.
Background technology
With the rapid growth of geographic information resources, information sharing becomes the developing key issue of geography information, it The quality of information is improved, expense is reduced.However, substantial amounts of information is applied from different information sources and GIS, the lattice of data Formula is incompatible, and repetition is had in data, and these problems bring many difficulties to geographical information sharing, is also to realize geographical letter The shared bottleneck of breath.
Geography information from different aforementioned sources has different description informations, and description granularity is also different.To understand Certainly the heterogeneity of geography information, provides the user with a unified describing mode, Open Geospatial Consortium (OGC：the Open Geospatial Consortium) establish a series of specification and standard.For example：Geography information markup language (GML：Geography Markup Language), DAP Web mapping services (WMS：Web Map Service) And Web feature services (WFS：Web Feature Service), these codes and standards are that current geographic information treatment generally makes Codes and standards.These standards can make user have access to the heterogeneous information of the multi-form provided from different resource. But, because these standards and specification lack semantic information so that the scope to be used is restricted.Problem has its source in These structural datas, such as GML or XML can not express the semanteme of data message.Although that is, codes and standards is solved The problem of the heterogeneous aspect of grammer, but the problem in terms of semantic heterogeneity is still the complexity faced required for researchers asks Topic.
Much study in the geographical resource sharing problem of the concept application of Semantic Web.Semantic Web introduces Ontology Language, Such as RDF (Resource Description Framework, resource description framework) and OWL (Ontology Web Language, the body of netspeak), carry out semantic tagger.The semantic tagger of geography information is referred to geodata or mistake Cheng Tianjia semantic descriptions.By this semantic interpretation to data, RDF and OWL causes that application program is appreciated that different information The structure and implication of data in resource.In addition it is also possible to be made inferences by body.But, but contained in reasoning process big The comparing operation of amount, these operations are wasted time and energy.
Research in terms of existing geographical information sharing only considers the correlation technique of semantic net, does not account for geographical letter The spatial relationship of the feature of breath itself, such as geography information, these geographical features are extremely important for geographical information sharing, and Its function is that semantic net institute is irrealizable.Additionally, geographical feature is in the fusion process of geography information, it is possible to achieve different languages Interpretative function between speech, saves the preprocessing process entering row information translation between different language information source.
In sum, it can be seen that the research on geographical information sharing lacks a kind of fusion geography information feature so far Research approach.Geographical information sharing specifically contains the company of same instance between the acquisition of information, the structure of model, different aforementioned sources Connect and information four parts of fusion.
The content of the invention
It is an object of the present invention to provide a kind of combination semantic net and the information integration method of geography information feature, are used for Realize that user is quick from various types of information resources to extract geography information and be associated geography information merging and eliminate Heterogeneity, realizes the shared of geography information.
To achieve these goals, technical scheme proposed by the present invention is that one kind combines semantic net and geography information feature Information integration method, it is characterized in that methods described includes：
Step 1：Service models are built, the supplier of Web APIs is built Web API, user calls accordingly Service obtains geography information；
Step 2：The mapping set up between the geography information and given body, and be the semantic letter of geography information addition Breath；
Mapped for the geography information, eliminate the heterogeneity between various resource datas, and add semantic information；
Step 3：Geography information to being obtained from various information resources is associated merging；
Step 4：The geography information of integrated multiple data sources.
The step 1 includes following sub-step：
Sub-step A1：Geography information comprising different Web API is packaged into different services, and the service is uploaded to In server；
Sub-step A2：First user uploads first service request example, the name comprising service in first service request example Title and the |input paramete of service to be called；
Sub-step A3：Service to be called, provides the output of the service in startup of server first service request example As a result；
Sub-step A4：Server, according to given body, is the service construction semantic model, i.e., taken according to ontology construct Corresponding semantic relation between business |input paramete and output result；
Sub-step A5：Server produces corresponding service describing according to the semantic model set up, and by semantic model and takes Business description is together stored in API warehouses；
Sub-step A6：Second user uploads second service request example, comprising the defeated of service in second service request example Enter parameter；
Sub-step A7：The second service request example that server parsing is uploaded, extracts second service and asks to be serviced in example |input paramete；
Sub-step A8：The |input paramete that server asks to be serviced in example according to second service, in searching server The semantic model of structure；
Sub-step A9：Semantic model is serviced accordingly described in server calls, for second user provides the defeated of the service Go out result；The output result is geography information.
The step 2 includes following sub-step：
Sub-step B1：Geography information is mapped according to body, will geography information data category corresponding with body Property is associated；
Sub-step B2：Server learns the mapping relations that sub-step B1 is generated by conditional random fields model；
Sub-step B3：Server defines all possible mapping relations between geography information and body, and by object properties Correlation between the semantic type of body is described；
Sub-step B4：Server is the semantic model establishing resource describing framework RDF of generation, i.e., the ground for being produced to step 1 Reason information assigns semantic information.
The step 3 includes following sub-step：
Sub-step C1：For the geography information r obtained from 2 different information resources1And r2, judge geography information r1And ground Reason information r2With the presence or absence of geographic inclusion relation, if geography information r1With geography information r2Exist geographic comprising pass System, then perform sub-step C7；Otherwise, sub-step C2 is performed；
Sub-step C2：Judge geography information r1With geography information r2Whether described geographic range has the part of coincidence, such as Fruit geography information r1With geography information r2Described geographic range has the part of coincidence, then perform sub-step C3；Otherwise, perform Sub-step C4；
Sub-step C3：Calculate geography information r1With geography information r2Similarity, if geography information r1With geography information r2 Similarity be more than the first given threshold, then perform sub-step C7；Otherwise, sub-step C4 is performed；
Sub-step C4：Calculate geography information r1With geography information r2The distance between, if geography information r1And geography information r2The distance between be less than the second given threshold, then perform sub-step C5；Otherwise, sub-step C6 is performed；
Sub-step C5：Calculate geography information r1With geography information r2Similarity, if geography information r1With geography information r2 Similarity be more than the 3rd given threshold, then perform sub-step C7；Otherwise, sub-step C6 is performed；
Sub-step C6：Geography information r1With geography information r2It is uncorrelated, skip to sub-step C9；
Sub-step C7：By geography information r1With geography information r2Between Similarity value be set to 1, and by geography information r1With Geography information r2It is added in linked list；
Sub-step C8：Two associated geography information in linked list are extracted, the associated geography information is connected, Generation resource description framework RDF；
Sub-step C9：Terminate.
The calculating geography information r1With geography information r2Similarity use formula：
Wherein, distance (r1,r2) it is geography information r1With geography information r2The distance between.
The step 4 includes following sub-step：
Sub-step D1：Extract the geography information r being connected with each other in resource description framework RDF1With geography information r2；
Sub-step D2：It is extracted as geography information r1In the resource description framework RDF of affiliated geographic information resources S1 generations All properties, and be geography information r2It is all in the resource description framework RDF of affiliated geographic information resources S2 generations Attribute；
Sub-step D3：Merge two attributes.
The present invention obtains geography information by unified interface from different Energy Resources Service, and for the information for obtaining assigns semantic letter Breath, eliminates the heterogeneity between different resource；Merge the geography information of different information resources by associating, eliminate redundancy letter Breath amount, increased complementary information amount.The association carried out by geography information feature between resource is merged, and can also realize that information is provided Interpretative function between source, saves the expense mutually translated between the information resources of different language.
Brief description of the drawings
Fig. 1 is geography information integrated flow figure；
Fig. 2 is geographic information services model construction figure；
Fig. 3 is geographic information ontology structure chart；
Fig. 4 is to carry out the integrated procedure chart of geography information based on SPARQL；
Fig. 5 is the information integration schematic diagram with geography information feature based on semantic net；
Fig. 6 is the semantic mould of the output result establishment that server is obtained by the object properties of geographic information ontology for user Type structure chart；Wherein (a) is the output result wound that server is obtained by the object properties of geographic information ontology for first user The semantic model structure chart built, (b) is the output that server is obtained by the object properties of geographic information ontology for second user The semantic model structure chart that result is created；
Fig. 7 is by SPARQL extracting geographic information attribute schematic diagrames.
Specific embodiment
Below in conjunction with the accompanying drawings, preferred embodiment is elaborated.It is emphasized that the description below is merely exemplary , rather than in order to limit the scope of the present invention and its application.
Embodiment 1
The geography information integrated approach that the present invention is provided is a kind of based on semantic net (Semantic Web) and geography information The information integration method of feature.The method by semantic net and geospatial relationship carry out it is good merge, wherein semantic net is used for Service model is built, so that user obtains geography information from different geographic information resources by unified interface；It is geographical empty Between relation for different information resources are associated and merge the service of offer, while the interpretative function between realizing information resources, Save the expense mutually translated between the information resources of different language.Fig. 1 is geography information integrated flow figure.As shown in figure 1, The method that the present invention is provided includes：
Step 1:Service models are built, the supplier and user of Web APIs is semi-automatically built Web API, and call corresponding service to obtain geography information.
Fig. 2 is geographic information services model construction figure.As shown in Fig. 2 the process for building geographic information services model includes：
Sub-step A1：The geographic information resources that Web API will be included are packaged into Web service, and different Web API are sealed In different services, during the Web service that will be built into is uploaded onto the server.
Sub-step A2：First user upload service ask example URL1, in URL1 comprising service title and call clothes The |input paramete of business.
Because most of Web APIs use HTTP GET methods, be encapsulated in for the |input paramete of all services by we In URL.For example：URL1=
"http://localhost:8080/ExtractSpatialInformationMinLongitude=- 118.29216＆minLatitude=34.01797＆maxLongitude=-118.28014＆m axLatitude= 34.02554＆type=building ".
Wherein, " ExtractSpatialInformation " is the title of service, " minLongitude=- 118.29216＆minLatitude=34.01797＆maxLongitude=-118.28014＆m axLatitude= 34.02554＆type=building " be service |input paramete, minLongitude, minLatitude, MaxLongitude and maxLatitude are the bounds to be obtained geography information, and type is the class to be obtained data Type.
Sub-step A3：The services to be called of startup of server URL, provide the output result of service.
Sub-step A4：Server, according to given body, is the service construction semantic model having been turned on, i.e., built according to body Corresponding semantic relation between vertical import of services and output.
Fig. 3 is geographic information ontology structure chart.In Fig. 3, geography information is using OWL language to two kinds of building and road The geodata of type is described, and its geography information structural relation is as shown in Figure 3.Geography information mainly comprising building with Road two types, and geographical spatial data type includes Point, Polyline and Polygon three types, wherein Point It is used to describe the data of building types with Polygon, and Polyline is used to describe the data message of road types. SpatialReferenceSystem represents the space reference identifier species that current spatial data are used, to spatial data Perform when operating, it is necessary to consider type of identifier.
Sub-step A5：Server produces corresponding service describing according to the semantic model set up, and by semantic model and takes Business description is together stored in API warehouses.
Sub-step A6：Second user upload service asks example URL2, only comprising the |input paramete of service, i.e., the in URL2 Whether two users do not know in server there is such service and the specific name for servicing.
For example：URL2=" minLongitude, minLatitude, maxLongitude, maxLatitude, type- 118.3,34.02,-118.29,34.03,building”。
The service name of service is called required for not being given in URL2, |input paramete is only gived, i.e., SpatialReferenceSystem and geographical frontier are worth.
Sub-step A7：The example URL2 that server parsing has been uploaded, extracts import of services parameter and parameter value；|input paramete For：MinLongitude=-118.3, minLatitude=34.02, maxLongitude=-118.29, maxLatitude =34.03, type=building.
Sub-step A8：SPARQL interfaces that |input paramete that server is provided according to URL2 and API warehouses are provided are matched The existing service model for successfully constructing in server.
Sub-step A9：The server calls service that the match is successful, the output knot of corresponding service is provided for second user Really, i.e. geography information.
Step 2：Geography information for being obtained by step 1 is mapped, and eliminates the heterogeneity between various resource datas, And semantic information is added, its process includes：
Sub-step B1：User is mapped the output result of step 1 according to geographic information ontology, will be in output result Each row data attribute corresponding with body be associated.
Sub-step B2：The mapping relations that server is generated by conditional random fields (CRF) model learning sub-step B1.
Sub-step B3：Server creates graph structure to define all possible mapping relations between resource data and body, and By the correlation between object properties descriptive semantics type.
For the mapping relations graph structure that server is given, user can be adjusted according to actual conditions.
Sub-step B5：Server is the semantic model establishing resource describing framework RDF of generation, i.e., what is step 1 produced is defeated Go out result and assign semantic information.
Step 3：Data to being obtained from various information resources are associated merging, that is, eliminate the redundancy of same data record Information, the information for merging complementation.Hereinafter assume that S1 is respectively the geography obtained from two different geographic information resources from S2 Information, r1With r2Example in respectively S1 and S2, process includes：
Sub-step C1：For the geography information r obtained from 2 different information resources1And r2, judge geography information r1And ground Reason information r2With the presence or absence of geographic inclusion relation, that is, compare r1And r2Geospatial relationship ST_ between two examples Contains, if its value is true, geography information r1With geography information r2There is geographic inclusion relation, perform sub-step C7.Otherwise, sub-step C2 is performed.
Sub-step C2：Judge geography information r1With geography information r2Whether described geographic range has the part of coincidence, i.e., Compare r1And r2Geospatial relationship ST_Overla between two examplespS, if its value is true, geography information r1And geography Information r2Described geographic range has the part of coincidence, performs sub-step C3.Otherwise, sub-step C4 is performed.
Sub-step C3：Calculate geography information r1With geography information r2Similarity.Calculate geography information r1With geography information r2 Similarity use formula：Wherein, distance (r1,r2) it is geography information r1With geography information r2The distance between.r1And r2The distance between calculation be to extract r respectively1And r2Geographical position Information, calculates the plan range between two geographical position, and its result is exactly r1And r2The distance between.If geography information r1 With geography information r2Similarity be more than the first given threshold, then perform sub-step C7.Otherwise, sub-step C4 is performed.
Sub-step C4：Calculate geography information r1With geography information r2The distance between, if geography information r1And geography information r2The distance between be less than the second given threshold, then perform sub-step C5.Otherwise, sub-step C6 is performed.
Sub-step C5：Calculate geography information r1With geography information r2Similarity, if geography information r1With geography information r2 Similarity be more than the 3rd given threshold, then perform sub-step C7.Otherwise, sub-step C6 is performed.
Sub-step C6：Geography information r1With geography information r2It is uncorrelated, skip to sub-step C9.
Sub-step C7：By geography information r1With geography information r2Between Similarity value be set to 1, and by geography information r1With Geography information r2It is added to matchedPairList.add (r in linked list1,r2) in.
Sub-step C8：Two associated geography information in linked list are extracted, by owl:SameAs connects all phases The example pair of association, generation resource description framework RDF.
Sub-step C9：Terminate.
Fig. 4 is to carry out the integrated procedure chart of geography information based on SPARQL.As shown in figure 4, carrying out geography based on SPARQL The process of information integration includes：
Sub-step D1：According to the resource description framework RDF that sub-step C8 is generated, each pair is selected by owl by SPARQL: The example pair of sameAs connections；
SPARQL sentences are：
Wherein subject1, subject2 are respectively from geographic information resources S1 and S2.
Sub-step D2：It is the resource description framework that geographic information resources S1 is generated to extract sub-step B4 by SPARQL sentences All properties in RDF；
SPARQL sentences are：
Wherein, property1, property2 and property3 are the data attribute in geographic information resources S1.
It is all properties in the RDF that geographic information resources S2 is generated to extract sub-step B4 by SPARQL sentences again；
SPARQL sentences are：
Wherein, property4 and property5 is the data attribute in geographic information resources S1.
Sub-step D3：Merge all properties of sub-step D1 and sub-step D2 generations.
For the ease of understanding the present invention, below according to specific example 2, illustrate based on semantic net (Semantic Web) and The information integration process of geography information feature.
Embodiment 2
Fig. 5 is the information integration schematic diagram with geography information feature based on semantic net.As shown in figure 5, geography information is integrated Process be：
(1) first user upload service request example URL1, for downloading geographical letter from OpenStreetMap data sources Breath, corresponding service name is ExtractSpatialInformation, and the data type of extraction is building, border Scope is within the ring of Beijing two.
(URL1=" http://localhost:8080/ExtractSpatialInformationminLongitude =116.353＆minLatitude=39.901＆maxLongitude=116.4257＆maxLati tude=39.935＆type =building ").
(2) services to be called of startup of server URL1, first user obtains the output result of service.
(3) second user upload service request example URL2, for downloading geography information from Wikimapia data sources, Corresponding service name is ExtractWikimapiaInformation, and the data type of extraction is building, border model Enclose within the ring of Beijing two.
(URL2=" http://localhost:8080/ExtractWikimapiaInformationLon_min= 116.353＆lat_min=39.901＆lon_max=116.4257＆lat_max=39.935＆t ype=building ").
(4) services to be called of startup of server URL2, second user obtains the output result of service.
(5) output result of acquisition is carried out Semantic mapping by user, for example, the data category obtained in OpenStreetMap Property building_name, state_name, county_name, city_name, lat, lon, srid are sequentially mapped to geographical letter Cease the data type attribute of body：BuildingName, stateName, countyName, cityName, latitude, Longitude, sridValue；The data attribute place_name obtained in Wikimapia, polygon, srid map successively To the data type attribute of geographic information ontology：BuildingName, polygon, sridValue.
(6) as shown in Fig. 6 (a) and 6 (b), the object properties that server passes through geographic information ontology, respectively step (2) (4) output result of generation creates semantic model, generates RDF.
(7) example r is taken out from the output result of step (2)1, example r is taken out from the output result of (4)2, calculate r1 And r2Similarity.
It is assumed that r1Geography information be latitude=39.9182091, longitude=116.3918102, r2Geography Information be POLYGON ((116.3916339.918297,116.3919439.918304,116.3919439.918293, 116.3919439.918266,116.3919439.91816,116.39188439.918156,116.3918939.918118, 116.391739.918114,116.391739.918156,116.3916339.918156,116.3916339.918255, 116.3916339.91828,116.3916339.918297)), because distance between the two is 0, i.e. distance (r1,r2) =0, so similarityr1And r2It is interrelated, it is added into linked list matchedPairList.add(r1,r2) in, by Noumenon property owl:SameAs connects r1And r2。
(8) as shown in fig. 7, extracting r by SPARQL1Attribute.
(9) as shown in fig. 7, extracting r by SPARQL2Attribute.
(10) all properties that combining step (8) is generated with (9), wherein being English from the data in OpenStreetMap Literary information, is Chinese information from the data in Wikimapia, realizes the function of translation.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto, Any one skilled in the art the invention discloses technical scope in, the change or replacement that can be readily occurred in, Should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims It is defined.

Claims (2)

1. the information integration method of a kind of combination semantic net and geography information feature, it is characterized in that methods described includes：
Step 1：Service models are built, the supplier of Web APIs is built Web API, user calls corresponding service To obtain geography information；
Step 2：The mapping set up between the geography information and given body, and for the geography information adds semantic information；
Step 3：Geography information to being obtained from various information resources is associated merging；
Step 4：The geography information of integrated multiple data sources；
The step 1 includes following sub-step：
Sub-step A1：Geography information comprising different Web API is packaged into different services, and the service is uploaded into service In device；
Sub-step A2：First user upload first service request example, first service request example in comprising service title and The |input paramete of service to be called；
Sub-step A3：Service to be called, provides the output result of the service in startup of server first service request example；
Sub-step A4：Server, according to given body, is the service construction semantic model, i.e., service defeated according to ontology construct Enter corresponding semantic relation between parameter and output result；
Sub-step A5：Server produces corresponding service describing according to the semantic model set up, and semantic model is retouched with service State and together store in API warehouses；
Sub-step A6：Second user uploads second service request example, the input ginseng comprising service in second service request example Number；
Sub-step A7：The second service request example that server parsing is uploaded, what is serviced in extraction second service request example is defeated Enter parameter；
Sub-step A8：The |input paramete that server asks to be serviced in example according to second service, has been built up in searching server Semantic model；
Sub-step A9：Semantic model is serviced accordingly described in server calls, and the output knot of the service is provided for second user Really；The output result is geography information；
The step 2 includes following sub-step：
Sub-step B1：Geography information is mapped according to body, will geography information data attribute corresponding with body enter Row association；
Sub-step B2：Server learns the mapping relations that sub-step B1 is generated by conditional random fields model；
Sub-step B3：Server defines all possible mapping relations between geography information and body, and is described by object properties Correlation between the semantic type of body；
Sub-step B4：Server is the semantic model establishing resource describing framework RDF of generation, i.e., the geographical letter for being produced to step 1 Breath assigns semantic information；
The step 3 includes following sub-step：
Sub-step C1：For the geography information r obtained from 2 different information resources1And r2, judge geography information r1Believe with geography Breath r2With the presence or absence of geographic inclusion relation, if geography information r1With geography information r2There is geographic inclusion relation, then Perform sub-step C7；Otherwise, sub-step C2 is performed；
Sub-step C2：Judge geography information r1With geography information r2Whether described geographic range has the part of coincidence, if ground Reason information r1With geography information r2Described geographic range has the part of coincidence, then perform sub-step C3；Otherwise, sub-step is performed Rapid C4；
Sub-step C3：Calculate geography information r1With geography information r2Similarity, if geography information r1With geography information r2Phase It is more than the first given threshold like degree, then performs sub-step C7；Otherwise, sub-step C4 is performed；
Sub-step C4：Calculate geography information r1With geography information r2The distance between, if geography information r1With geography information r2It Between distance be less than the second given threshold, then perform sub-step C5；Otherwise, sub-step C6 is performed；
Sub-step C5：Calculate geography information r1With geography information r2Similarity, if geography information r1With geography information r2Phase It is more than the 3rd given threshold like degree, then performs sub-step C7；Otherwise, sub-step C6 is performed；
Sub-step C6：Geography information r1With geography information r2It is uncorrelated, skip to sub-step C9；
Sub-step C7：By geography information r1With geography information r2Between Similarity value be set to 1, and by geography information r1And geography Information r2It is added in linked list；
Sub-step C8：Two associated geography information in linked list are extracted, the associated geography information, generation is connected Resource description framework RDF；
Sub-step C9：Terminate；
The step 4 includes following sub-step：
Sub-step D1：Extract the geography information r being connected with each other in resource description framework RDF1With geography information r2；
Sub-step D2：It is extracted as geography information r1It is all in the resource description framework RDF of affiliated geographic information resources S1 generations Attribute, and be geography information r2All properties in the resource description framework RDF of affiliated geographic information resources S2 generations；
Sub-step D3：Merge two attributes.
2. method according to claim 1, it is characterized in that the calculating geography information r1With geography information r2Similarity adopt Use formula：
Wherein, distance (r1,r2) it is geography information r1With geography information r2The distance between.
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