TWI760668B - Searching and positioning system and related method using multiple geospatial information - Google Patents

Abstract

A searching and positioning system and a related method using multiple geospatial information are provided. An information input module receives queried information. A semantic analysis module analyzes a semantic meaning of text contents of the queried information to determine the queried information belongs which one or more of a plurality of information groups. An information group assignment module assigns the query information to the one or more core positioning modules according to the one or more information groups to which the query information belongs. Each of the core positioning modules to which the query information is assigned searches information matched with the query information from the corresponding information group to generate core positioning information. A positioning result establishing module integrates spatial information contents of the core positioning information and establishes an indicator to generate geospatial location information.

Description

System and method for querying and locating various geospatial data

The present invention relates to a spatial positioning system, in particular to a query and positioning system and method for providing a variety of geospatial data that can be searched for a variety of spatial data at one time and can also be located by a semantic query string.

The prior art can only extract, analyze, and locate information by describing a single location. In practice, however, there are many ways to describe spatial locations, which vary from person to person or data recording format. Therefore, using a consistent method to extract spatial information in the past will lead to difficulties in positioning, and users need to have prior knowledge to operate smoothly, which is quite inconvenient.

The technical problem to be solved by the present invention is to provide a query and positioning system for various geospatial data in view of the shortcomings of the prior art, including a data input module, a semantic analysis module, a data group assignment module, a core positioning module and a positioning result Build modules. The data input module is configured to receive a query data. The semantic analysis module is connected with the data input module, and is configured to analyze which one or some data groups the semantics of the text content of the query data belongs to. The data group allocation module is connected to the semantic analysis module, and is configured to allocate the query data according to one or more data groups to which the query data belongs. The core positioning module is connected to the data group assignment module, respectively corresponding to a plurality of the data groups. When each of the core positioning modules is assigned with the query data, it queries the corresponding data group for data consistent with the query data to generate A core positioning information. The positioning result establishment module is connected with the core positioning module, and is configured to integrate all spatial information contents in one or more core positioning information and establish an index, so as to generate a geospatial position information.

In one embodiment, the plurality of data groups include landmarks, districts, intersections, neighborhoods, and house numbers.

In one embodiment, the query data includes main information and auxiliary information, the main information includes main spatial information and sub-space information, and the auxiliary information is used to assist in explaining the relative positional relationship between the main spatial information and the sub-space information.

In one embodiment, each core positioning module provides a plurality of data query modes, including an exploration mode, a recommendation mode, and a setting mode. In the exploration mode, each core positioning module searches for data matching the searched data from all multiple data groups. In the recommendation mode, each core positioning module inquires data matching the query data from all the multiple data groups, and analyzes the data most highly consistent with the query data from the matching data obtained by the query. In the setting mode, each core positioning module inquires the data matching the query data from the designated data groups in the priority order according to the designated data groups and the set priorities of the data groups.

In one embodiment, the system for querying and locating various geospatial data further includes a storage module connected to the positioning result establishment module, configured to store the geospatial location information.

In an implementation aspect, the index includes a confidence level and a spatial error range of the spatial information content of the geospatial location information. The location result building module sorts all the spatial information content in the geospatial location information according to the index.

In addition, the present invention provides a method for querying and locating various geospatial data, comprising the following steps: using a data input module to receive a query data; using a semantic analysis module to analyze the semantics of the text content of the query data belonging to a plurality of data groups Which one or some data groups in the data group; using a data group assignment module, according to the data group to which the query data belongs, the query data is distributed to a core positioning module corresponding to the data group, and when the query data belongs to multiple data groups, Distribute the query data to multiple core positioning modules corresponding to multiple data groups; use the core positioning module to which the query data is allocated to query the data that matches the query data from the corresponding data group; All spatial information contents in the one or more core positioning information are combined and an index is established to generate a geospatial position information.

In one embodiment, the plurality of data groups include landmarks, districts, intersections, neighborhoods, and house numbers.

In one embodiment, the query data includes main information and auxiliary information, the main information includes main spatial information and sub-space information, and the auxiliary information is used to assist in explaining the relative positional relationship between the main spatial information and the sub-space information.

In one embodiment, the method for querying and locating a variety of geospatial data further includes the following steps: in the exploration mode, using the core positioning module to query the data matching the query data from all the multiple data groups; in the recommendation mode , use the core positioning module to query the data matching the query data from all multiple data groups, and analyze the data that is most consistent with the query data from the matching data obtained; and in the setting mode, use the core positioning module According to the specified multiple data groups and a set priority of the multiple data groups, the group searches for data matching the query data from the specified multiple data groups in the priority order.

In one embodiment, the method for querying and locating various geospatial data further includes the following steps: using a storage module to store the geospatial location information.

In one embodiment, the method for querying and locating the various geospatial data further includes the following steps: using the positioning result establishment module to provide an index, the index including the reliability level of the spatial information content of the geospatial location information and Spatial error bounds; and using the positioning results to build a model-based metric to rank all spatial content in the geospatial location information.

As mentioned above, the present invention provides a system and method for querying and locating various geospatial data, which supports a composite or semantic query mode, and provides users with the ability to query a variety of spatial data at one time, and the query content has no standard specification or semantic description. It can also locate and provide different query modes, so that users can realize complex spatial positioning regardless of whether they know the spatial location data clearly.

For a further understanding of the features and technical content of the present invention, please refer to the following detailed descriptions and drawings of the present invention. However, the drawings provided are only for reference and description, and are not intended to limit the present invention.

The following are specific specific examples to illustrate the embodiments disclosed in the present invention, and those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the concept of the present invention. In addition, the drawings of the present invention are merely schematic illustrations, and are not drawn according to the actual size, and are stated in advance. The following embodiments will further illustrate the technical content of the present invention in detail, but the disclosed content is not intended to limit the protection scope of the present invention.

It should be understood that although terms such as "first", "second" and "third" may be used herein to describe various elements or signals, these elements or signals should not be limited by these terms. These terms are primarily used to distinguish one element from another, or a signal from another. In addition, the term "or" as used herein shall include any one or a combination of any one or more of the corresponding listed items as the case may be.

Please refer to FIG. 1 , which is a block diagram of a system for querying and spatial positioning of various geospatial data according to an embodiment of the present invention.

As shown in FIG. 1 , the system for querying and spatial positioning of various geospatial data of this embodiment includes a data input module 10, a semantic analysis module 20, a data group assignment module 30, core positioning modules 41-4n, and positioning results Build module 50. The semantic analysis module 20 is connected to the data input module 10 and the data group assignment module 30 . The core positioning modules 41 to 4n are connected to the data group allocation module 30 and the positioning result establishment module 50, where n is an appropriate integer value.

Existing spatial positioning systems use different spatial positioning methods to find positions, instead of providing complex query and semantic query modes as in the present embodiment to solve complex spatial positioning problems, which are specifically described as follows.

The data input module 10 is configured to receive the query data 11 input by the user. After the user inputs the query data 11 , the data input module 10 provides the query data 11 to the semantic analysis module 20 , and the semantic analysis module 20 analyzes the semantics 21 of the text content of the query data 11 to analyze the query data 11 Whether there are keywords related to data groups such as neighborhoods, house numbers, landmarks, addresses (such as alleys, alleys, etc.) in the query data 11 to determine which data group or data groups the query data 11 belongs to.

The query data 11 may include the main information 111 and the auxiliary information 112 , or may only include the main information 111 . This embodiment defines the main information 111 as a house number, landmark, intersection, cadastre, community or other physical space data, and defines the auxiliary information 112 as a preposition, a conjunction or other auxiliary words to help explain the relationship between the main information 111 and the other. The relative positional relationship of the destination.

If the main message 111 contains multiple spatial messages, the importance of the multiple spatial messages is determined according to the composition sequence and manner of the auxiliary messages 112 between the multiple spatial messages and the multiple spatial messages, such as conjunctions or prepositions. A plurality of spatial messages are classified, for example, a main message 111 is classified as a main spatial message 1111 , and the other is classified as a secondary spatial message 1112 . In this case, the auxiliary information 112 is used to assist in explaining the relative positional relationship between the main spatial information 1111 and the secondary spatial information 1112 .

For example, the text content of the query data 11 is "7-11 near Taipei Railway Station", wherein "7-11" is the main space message 1111 of the main message 111, and "Taipei Railway Station" is the sub-spatial message of the main message 111 Spatial information 1112, and "nearby" is auxiliary information 112, which is used to describe that 7-11, which is the main spatial information 1111, is in the vicinity of Taipei Railway Station, which is the secondary spatial information 1112.

The multiple core positioning modules 41 to 4n correspond to multiple data groups respectively. The data group allocation module 30 can allocate the query data 11 to the core positioning modules 41 to 4n corresponding to the data group to which the query data 11 belongs according to the data group to which the query data 11 analyzed by the semantic analysis module 20 belongs. For example, the main information 111 includes main spatial information 1111, such as Luzhu District, Kaohsiung City, which dispatches the query data 11 to a core positioning module 41 corresponding to the administrative district data group, and includes sub-spatial information 1112, such as the intersection of Huazheng Road and Changxing Road, which dispatches inquiries Data 11 to another core positioning module 42 corresponding to the intersection data group.

It should be understood that, in addition to the above examples, the data group may also include community data groups (such as Yipin Building), house number data groups (such as No. 186, Jianyi Road, Zhonghe District, New Taipei City), highway mileage data groups, and landmark data groups (such as New Taipei City Link) KFC on the road, MRT station exits, national parks, railway stations, rest stops, and major convenience stores and other public buildings), or other customized data groups established for data that are frequently inquired by many users, etc. The above is only for illustration, and the present invention is not limited thereto.

The data group allocation module 30 can determine the number of spatial information of the main message 111 included in the query data 11 to determine the appropriate number of spatial data groups. That is to say, when the data group allocation module 30 determines that the subject information 111 of the query data 11 only contains a single spatial information such as Taipei 101 skyscraper, and belongs to only one of the data groups such as the landmark data group, it decides to use a single positioning method, The single core positioning module 43 corresponding to the single data group is instructed to query the spatial data corresponding to the query data 11 from the data group.

The main message 111 takes a single spatial message such as an address as an example, and each example is individually applicable to a single address data group: 1. XXX Road, X Section X, Lane X, X Floor, No. X, Lane X, 2. XXX Road, X Section X, Lane X, Alley X No., 3. XXX Road X Section X Lane X Alley, 4. XXX Road X Section X Lane X, 5. XXX Road X Section X Lane X No. 6. XXX Road X Section X No.

The main message 111 takes a single spatial information such as an intersection as an example. Each of the following examples is applicable to the use of a single intersection data group: 1. XXX road (street) and XXX road (street) intersection, 2. XXX road (street) XXX road (street) entrance, junction of 3. XXX Road (street) and XXX Road (street), 4. XXX Road, XXX Road.

The main message 111 takes a single spatial message such as a landmark as an example. Each of the following examples is suitable for using a single landmark data group: 1. Before XXX, 2. In XXX, 3. Near XXX, 4. XXX, where XXX is the main message 111 , and “front”, “inside”, and “nearby” are auxiliary information 112 .

The main message 111 takes a single spatial information such as road mileage as an example. Each of the following examples is applicable to using a single road mileage data group: 1. XXX road OOO kilometers, 2. XXX road OOO meters.

The main message 111 takes a plurality of spatial messages such as landmarks as an example. The following examples are suitable for using the landmark data group: 1. OOO near XXX. The main message 111 takes multiple spatial information such as intersections and landmarks as examples. Each of the following examples is individually applicable to the two-stage data group using multiple data groups: 1. XXX Road (street) XXX Road (street) next to XXXX before the intersection, 2 . XXX Road (Street) XXX Road (Street) next to XXXX.

The main message 111 takes multiple spatial messages such as addresses and landmarks as an example. The following examples are individually applicable to two-stage data groups using multiple data groups: 1. In the park opposite to XX Lane on XXX Road.

The main message 111 takes a plurality of spatial information such as intersections (or landmarks), directions (standard directions or a certain reference point) and distances as examples. Each of the following examples is individually applicable to two-stage data groups using multiple data groups: 1. XXX road Take the XXX intersection to XXX meters towards the mansion, 2. Chiang Kai-shek Memorial Hall to XXX Road XXX intersection and XXX meters.

It is worth noting that, compared with the traditional spatial positioning system that can only query one kind of spatial data at a time, the advantage of this embodiment is that when the main message 111 contains multiple spatial messages, it is suitable for multiple data groups such as communities, house numbers and other data groups. The multiple positioning method is adopted to instruct the core positioning modules 41 to 4n corresponding to the multiple data groups to query the spatial data corresponding to the query data 11 from the multiple data groups, respectively.

In order to meet different needs, multiple data query modes are provided, such as but not limited to an exploration mode, a recommendation mode and a setting mode, so that users can choose the most suitable query mode according to their understanding of the data. The details are as follows .

For users who do not know the data type and content, the exploration mode can be used. In the exploration mode, the core positioning modules 41~4n will query all data groups, such as but not limited to landmarks, administrative districts, intersections, communities, and house number data groups, and determine which of the query data 11 is more consistent with the spatial data of the data group , and return all the results that match the text content of the query data 11. Therefore, it is suitable for users who want to explore the characteristics of data.

In order to avoid excessive number of query results, the core positioning modules 41-4n can limit the number of queries/data volume provided for each data group to meet or be less than a preset number/data volume, for example, each core The results found by the positioning modules 41 to 4n provide at most 5 results, which are only exemplified here, and the present invention is not limited thereto.

When the query content is not clear enough, it may lead to multiple query results, which makes it difficult for the user to choose, and a recommendation mode can be adopted. In the recommendation mode, all the core positioning modules 41~4n will query all the data groups respectively, and each piece of data queried will be given an indicator 52 by the positioning result establishment module 50, that is, a reliability, this mode will only provide The query results with the highest reliability are given to the user, so as to filter out the query results that are less consistent with the query data 11 for the user. Therefore, the recommendation mode is suitable for users who are looking for the best positioning solution.

The degree of matching between the query data 11 and the query result (such as the ratio of consecutive words), for example, when a query data 11 is input as a string of "New Taipei Zhonghe Jinhe Sports Park", the core positioning module 43 queries the landmarks A string of "New Taipei Zhonghe Jinhe Sports Park" in the data group, all 10 words are the same/hit with the words in the query data 11, and there is no situation that the text order is reversed, in the positioning result building module 50 integrated query When the result is obtained, this query will be given high confidence (eg normal level) because of the extremely high ratio of consecutive words in the center, and it will be ranked in the front.

However, when a query data 11 is input as a string of "New Taipei Zhonghe Jinhe Sports Park", the core positioning module 43 queries another data "New Taipei Zhonghe Jinhe Sports Center" in the landmark data group. The characters and the query data 11 are not the same and are not completely hit. In this case, compared with the previous example, the positioning result creation module 50 will give a lower reliability (eg, warning level) when integrating the query results, and it will be sorted later.

The reliability depends on the degree of consistency between the query data 11 and the query results (such as the ratio of consecutive words), or according to the spatial error range of the query results. Multiple levels can be set from low to high, such as but not limited to danger level, warning level, normal level.

The spatial error range of the query result. For example, when the core positioning modules 41~4n determine that the data (query result) queried from the data group has crossed counties, cities or towns, and is ambiguous, it is determined that the query result is credible is classified as dangerous. For example, the query data 11 is "Zhonghe, New Taipei City", and the query results in this example are "Zhonghe District, New Taipei City", "Zhonghe District, Xinzhuang District, New Taipei City", "Zhonghe District, Danshui District, New Taipei City", It has crossed the township, so it is judged to be dangerous.

If the core positioning modules 41~4n judge that the data (query result) queried from the data group has crossed the village and is ambiguous, it is judged that the reliability of the query result belongs to the warning level.

However, if the core positioning modules 41-4n judge that the data (query results) retrieved from the data group has a span smaller than that in the village and there is no obvious problem, then the reliability of the query results is at a normal level.

Advanced users who fully understand the data and want to flexibly adjust the query scope can choose a setting mode. In the setting mode, the user can specify the data group to be queried, and set or select a preset query priority of multiple data groups. The core positioning modules 41 to 4n sequentially query the spatial data corresponding to the query data 11 from the specified plurality of data groups according to the set priorities of the plurality of data groups.

If the core positioning modules 41 to 4n with a higher priority have found that the corresponding data group has data that matches the query data 11, the other core positioning modules 41 to 4n may not enter the data group after the priority to query. Conversely, if the core positioning modules 41 to 4n with a higher priority do not find that the corresponding data group has data that matches the query data 11, the other core positioning modules 41 to 4n can determine whether or not to Forced to enter the data group query after the priority order. For example, the user can set to search only the landmark data group and the house number data group, and set the query priority of the landmark data group first and then the house number data group. When no data in the landmark data group is found that matches the query data 11, if the user sets a mandatory query, the user will be forced to enter the house number data group for query, but if the user does not set a mandatory query or set a non-compulsory query, the house number data will not be forced to enter. Group query, in this case, the query result may be that the data does not match, and there is no query result.

If the queried data that matches the queried data 11 is single spatial data (ie, the main message 111 has only a single spatial information, such as only a landmark), the core positioning modules 41 to 4n use a one-time positioning method. If the queried data that matches the query data 11 is multi-spatial data (that is, the main message 111 has multiple spatial information, such as two or more landmarks), the core positioning modules 41 to 4n adopt a multi-stage, such as two-stage positioning method. For example, For example, if the text content of the query data 11 is "7-11 near Taipei Railway Station", a secondary space information 1112 such as Taipei Railway Station is first searched, and then a main space information 1111 such as 7-11 is searched.

The core positioning modules 41-4n use a one-time positioning method or a two-stage positioning method to perform core positioning on the queried spatial data consistent with the query data 11, so as to generate core positioning information 411-41n. The positioning result creation module 50 is configured to integrate a plurality of spatial information contents in the core positioning information 411-41n, such as heterogeneous spatial integration or multi-intersection spatial integration (such as space and space, space and point), and create an index 52 , the index 52 includes information such as the reliability level of the positioning result, the spatial error range, etc., so as to generate a geospatial location information 51 such as the coordinates of the location and other attribute data, and send it back to the user.

Please refer to FIG. 2 , which is a flowchart of steps of a method for querying and locating various geospatial data according to an embodiment of the present invention. As shown in FIG. 2 , the method for querying and locating various geospatial data in this embodiment includes steps S101 to S121 , which can be executed by the above-mentioned query and locating system for various geospatial data, and the specific description is as follows. It should be understood that the sequence of steps may be appropriately adjusted and steps may be omitted according to application requirements in implementation.

In step S101, the data input module 10 is used to receive the query data 11 of the spatial location input by the user, which may include single or composite spatial data, such as but not limited to including communities, multiple landmarks, intersections, etc., or semantics Spatial data such as but not limited to gas stations near Gongguan MRT Station, wherein "Gongguan MRT Station" is the sub-spatial information 1112, "Nearby" is the auxiliary information 112, and "gas station" is the main spatial information 1111.

In step S103, the semantic analysis module 20 is used to analyze the semantics 21 of the text content of the query data 11 to determine the main message 111 and the auxiliary message 112 contained in the query data 11. The main message 111 may include the main space information 1111 and the sub space information 1112 , the auxiliary information 112 is used to assist in explaining the relative positional relationship between the main spatial information 1111 and the secondary spatial information 1112 . It should be understood that the data input module 10 may or may not limit the length of the input query data 11 , that is, limit or not limit the number of the main spatial information 1111 and the secondary spatial information 1112 to be analyzed.

In step S105 , the data group assignment module 30 is used to determine whether the text content of the query data 11 , such as the plurality of subject messages 111 , conforms to the data group provided for the query according to the semantics 21 . If the text content of the searched data 11 does not match any data group, step S111 is directly executed to record the result that no data is found/unable to be searched. If it is determined that the text content of the query data 11 only belongs to one of the data groups, it is decided to adopt a single positioning method, and the data group allocation module 30 allocates the query data 11 to a single core positioning module 41-4n corresponding to the single data group to which it belongs. When the text content of the query data 11 corresponds to multiple data groups, it is decided to adopt a multiple positioning method, and the data group assignment module 30 distributes the query data 11 to a plurality of core positioning modules 41~ 4n.

In step S107, the core positioning modules 41-4n allocated with the query data 11 respectively query the data matching the data 11 from their corresponding data groups to perform core positioning, so as to generate the core positioning information 411-41n respectively.

In step S109, the positioning result establishment module 50 is used to integrate the multiple spatial information contents in the core positioning information 411-41n and establish an index 52 (this index 52 may include the above-mentioned reliability or spatial error range and other related factors) index) to generate a geospatial location information 51 .

In step S111 , the location result creation module 50 is used to store the query result, that is, the geospatial location information 51 or other data, information or messages queried or analyzed in the above steps.

In step S113, the positioning result is used to create the module 50 to return the geospatial location information 51 (point, line, surface coordinates and other attribute data) of the query result, and the established indicators 52 (eg: reliability level, query The spatial error range of the result, etc.), and the geospatial location information 51 is sorted according to the index 52 and provided to the user (the electronic device) for reference.

In step S115, the degree of conformity between the query result and the query data 11 is checked manually or by machine, that is, the reliability, whether it has reference value for the user's query, or whether to re-query, or whether it is based on the same spatial data of many users. number of inquiries, add the data content of the original data group, and create different data groups.

In step S117, the core positioning modules 41-4n have provided a plurality of data query modes, such as but not limited to including an exploration mode, a recommendation mode, and a setting mode. This step provides the flexibility to create other new query modes as required. In order to facilitate user queries and optimize query results.

In step S119 , the semantic analysis module 20 adopts different semantic analysis methods to support the analysis of sentence composition of different query data 11 , so as to support different spatial contexts of query data 11 .

In step S121, when it is determined that the query result conforms to the query data 11 after verification in step S115, the query can be ended, and steps S117-S119 can be omitted.

[Advantageous effects of the embodiment]

To sum up, the beneficial effect of the present invention is that the system and method for querying and locating various geospatial data provided by the present invention supports a composite or semantic query mode, and provides that users can query a variety of spatial data at one time, The query content can be located without standard specifications and semantic description, and provides different query modes, so that users can achieve complex spatial positioning regardless of whether they clearly know the spatial location data.

The contents disclosed above are only preferred feasible embodiments of the present invention, and are not intended to limit the scope of the present invention. Therefore, any equivalent technical changes made by using the contents of the description and drawings of the present invention are included in the application of the present invention. within the scope of the patent.

10: Data input module 11: Query information 111: main message 1111: Main space message 1112: Subspace message 112: Auxiliary information 20: Semantic Analysis Module 21: Semantics 30: Data group allocation module 41~4n: Core positioning module 411~41n: Core positioning information 50: Positioning result establishment module 51: Geospatial Location Information 52: Indicators S101~S121: Steps

FIG. 1 is a block diagram of a system for querying and locating various geospatial data according to an embodiment of the present invention.

FIG. 2 is a flow chart of steps of a method for querying and locating various geospatial data according to an embodiment of the present invention.

10: Data input module

11: Query information

111: main message

1111: Main space message

1112: Subspace message

112: Auxiliary information

20: Semantic Analysis Module

21: Semantics

30: Data group allocation module

41~4n: Core positioning module

411~41n: Core positioning information

50: Positioning result establishment module

51: Geospatial Location Information

52: Indicators

Claims (7)

A query and positioning system for various geospatial data, comprising: a data input module configured to receive a query data, the query data being a string; a semantic analysis module connected to the data input module configured to analyze the data input module A semantic meaning of the text content of the query data, to determine a main message and an auxiliary message contained in the query data, and to determine which one or some of the data groups the query data belongs to, where the main body The information is physical spatial data and includes one or more spatial information, the auxiliary information includes an auxiliary word, the auxiliary word includes a preposition, a conjunction or both, the auxiliary word is used to assist in the description of the spatial information and the destination. Relative positional relationship or relative positional relationship between the plurality of spatial information, the plurality of data groups include a landmark data group, an administrative district data group, an intersection data group, a community data group, and a house number data group; a data group a group assignment module, connected to the semantic analysis module, configured to determine the quantity of the one or more spatial messages in the main message of the query data, so as to determine the one or more spatial messages to which the one or more main spatial messages belong The number of the data group is based on one or more of the data groups to which the query data belongs, and the query data is allocated; a plurality of core positioning modules are connected to the data group allocation module, respectively corresponding to a plurality of the data groups, each of which When the core positioning module is assigned the query data, it searches the corresponding data group for data that matches the query data to generate a core positioning information; and a positioning result establishment module is connected to the plurality of core positioning modules , configured to integrate all spatial information contents in one or more core positioning information and create an index to generate a geospatial position information; wherein when the data group assignment module determines that the subject information only contains a single one of the spatial information message and the text content of the query data only belongs to one of the data groups, use a single positioning method to assign the query data to the single core positioning module corresponding to the single data group to which it belongs, and instruct the single corresponding to the data group. single core The positioning module searches the data group for spatial data that matches the query data; wherein when the data group assignment module determines that the main message contains the plurality of spatial information and the text content of the query data conforms to the plurality of data groups , the data group assignment module decides to use a multiple positioning method, and the core positioning modules corresponding to the plurality of data groups corresponding to the text content of the query data are instructed to respectively query and query the query data from the plurality of data groups Matching spatial data; wherein when all the characters in the character strings queried by the core positioning modules from the data group are the same as the characters of the query data, and there is no situation that the character order is reversed, the positioning result is established as a model The group determines that the string queried by the core positioning module has high reliability and belongs to the normal level, but when the last two words in the string queried by the core positioning module from the data group are related to the query The last two words in the string are not the same, and the positioning result establishment module determines that the credibility of the string queried by the core positioning module belongs to the warning level; Multiple pieces of data have crossed counties, cities or towns, and the positioning result establishment module determines that the reliability of the data queried by the core positioning module is at a dangerous level. In the village, the positioning result establishment module determines that the reliability of the data queried by the core positioning module belongs to the warning level. The query and positioning system for various geospatial data as described in item 1 of the scope of application, wherein each of the core positioning modules provides a plurality of data query modes, including an exploration mode, a recommendation mode, and a setting mode; in the exploration In the mode, each of the core positioning modules inquires from all of the plurality of data groups for data consistent with the query data; in the recommended mode, each of the core positioning modules inquires from all of the plurality of data groups and The data matching the query data is analyzed, and the data most highly consistent with the query data are analyzed from the matching data obtained; in the setting mode, each of the core positioning modules is based on the plurality of specified data groups and a set priority order of the plurality of data groups, and according to the priority order, the data corresponding to the query data are queried from the specified plurality of data groups. The query and positioning system for various geospatial data as described in item 1 of the scope of application, wherein the index includes the reliability level and spatial error range of the spatial information content of the geospatial position information, and the positioning result is based on a module The metric to sort all spatial content in this geospatial location. A method for querying and locating various geospatial data, applicable to the query and locating system for various geospatial data as described in item 1 of the scope of the patent application, and comprising the following steps: using the data input module to receive the query data; Use the semantic analysis module to analyze which one or some of the data groups the semantic of the text content of the query data belongs to; use the data group assignment module to analyze the data to which the query data belongs When the query data belongs to the multiple data groups, assign the query data to the core positioning modules corresponding to the multiple data groups respectively ; Use the core positioning module to which the query data is assigned to query the corresponding data group for data consistent with the query data; and use the positioning result to create a module to consolidate the one or more core positioning information The plurality of spatial information contents and the index are created to generate the geospatial location information. The method for querying and locating various geospatial data as described in item 4 of the scope of the patent application, wherein the plurality of data groups include landmarks, administrative districts, intersections, communities and house numbers. The method for querying and locating various geospatial data as described in item 4 of the scope of the patent application further comprises the following steps: in an exploration mode, using the core positioning module from all the plurality of data groups query the data matching the query data; in a recommendation mode, use the core positioning module to query the data matching the query data from all the multiple data groups, and analyze the matching data obtained from the query. querying the data with the most highly matched data; and in a setting mode, using the core positioning module according to the plurality of data groups specified and a priority order of the plurality of data groups set, according to the priority order from the specified data group The plurality of data groups query data that matches the query data. The method for querying and locating various geospatial data as described in item 4 of the scope of the patent application further comprises the following steps: using the positioning result establishment module to provide the index, the index including the availability of the spatial information content of the geospatial location information reliability level and spatial error range; and using the positioning result to establish a module to sort all the spatial information contents in the geospatial location information according to the index.

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