CN104112020A - Frame type retrieval method for navigation equipment - Google Patents
Frame type retrieval method for navigation equipment Download PDFInfo
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- CN104112020A CN104112020A CN201410360198.4A CN201410360198A CN104112020A CN 104112020 A CN104112020 A CN 104112020A CN 201410360198 A CN201410360198 A CN 201410360198A CN 104112020 A CN104112020 A CN 104112020A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F16/95—Retrieval from the web
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Abstract
The invention discloses a frame type retrieval method for navigation equipment. Different retrieval results, including POI (Point of Interest) elements and road element global property information are provided according to the survey result of user behavior analysis. A behavior identification rule for frame type retrieval is designed, thereby ensuring that a user can retrieve retrieval results which are consistent with the thought of the user according to different input conditions; particularly, after frame type search is introduced, a series of analysis processes, namely, administrative region identification, classification identification and keyword identification are performed specific to user input; the identification rules of telephone number identification, POI information, road information identification, intersection information identification and house number information identification are made according to user behavior analysis. The frame type retrieval method has the advantages that: a function of identifying a retrieval area according to user input is realized; the data size range for the user to retrieve is wider and more comprehensive; the user does not need to be worried about the problem in finding a destination by selecting a certain function, and the use complexity of navigation is lowered greatly.
Description
Technical field
The present invention relates to the solution of vehicle mounted guidance search function, particularly an a kind of frame search method of navigator.
Background technology
Along with developing rapidly and the raising of people's economic level of automobile, the chance of self-driving trip is more and more, but because road is unfamiliar with, taking an unnecessary way, taking a wrong way occurs often.For helping people to locate easily destination, current navigation software on the market has provided multiple search function for the different Search Requirement of user, but the operation of relative complex and various search function allow domestic consumer use some inconvenience.
Summary of the invention
The object of the invention is in order to solve the problem of complicated operation, spy provides an a kind of frame search method of navigator.
The invention provides an a kind of frame search method of navigator, it is characterized in that: a frame search method of described navigator, according to the investigation result of user behavior analysis, different result for retrieval is provided, wherein comprise POI key element and the full attribute information of road key element, design the behavior recognition rule of a frame retrieval, guarantee that user can retrieve according to different initial conditions the result for retrieval that meets user's idea;
Concrete introduction enters after a frame search, a series of analytic processes of carrying out for user's input:
Administrative region identification: the present invention supports to identify the administrative region function of user's input, when user's line of input political affairs zone name, system can be inputted traversal administrative area label according to user, by three grades of feature fuzzy matching administrative region titles of province, city and region, and carry out special processing for municipality directly under the Central Government and province's linchpin county, guarantee to match the region result that user wants; It should be noted that, when the administrative region of user's input, the match is successful, and the search domain that former acquiescence is selected is by conductively-closed, and the region result after coupling is preferential;
Classification and Identification: when specific name information that user input is wanted to search, system can be mated in tag along sort data, if the match is successful, at this moment the data area of retrieval is contracted to POI data division; It should be noted that, label data be to grouped data defect make up with function of search on expansion; A POI can belong to a kind of classification, also can belong to multiple label, and the statement by label can weaken the ambiguousness of classification; Certainly another advantage of label data is the large data definition according to user;
Keyword recognition: the data area of keyword recognition pattern support retrieval is the widest, comprises all POI key elements and the full attribute information of road key element; For user's input, carry out intellectuality coupling, automatically for user selects required retrieval mode, the data area of constantly dwindling retrieval in the process of coupling;
According to user behavior analysis, formulated following recognition rule:
Telephone number identification: when the key word of system identification user input is all numeral, attribute for current national phone is analyzed, take China as example, system can analyze in input, whether to comprise area code or "-" the number attribute information of expecting someone's call, when determining that while meeting attribute information requirement, system is automatically for user's selection is retrieved according to telephone number;
Interest point information, road information identification: according to search domain information, select to need POI factor database and the road factor database of traversal, fuzzy matching user input;
Intersection information identification: because of the singularity of intersection retrieval, need in road information database and intersection information database, search successively according to user's input, and intersection at least needs two or more road to form, therefore in matching process, to distinguish user and input two kinds of situations of one or more road and process respectively, guarantee the comprehensive of intersection result for retrieval;
Number information identification: number information belongs to the part in the full attribute information of road key element, therefore support the front entering number retrieval minute, need user first to determine the road information at number place, according to the matching result of road information, travel through corresponding number information database again, obtain the required number address of user.
One frame retrieval: a frame retrieval externally provides a set of independently interface to call for upper strata;
Input processing: can carry out character conversion to input, remove some invalid characters and insignificant word;
Administrative area identification: administrative region identification is to input according to user, a kind of identifying of intelligent matching row political affairs zone name in administrative area regional data base and administrative region label information, if the match is successful, this matching result preferentially can be set to current search domain; It should be noted that, administrative region label information belongs to the expansion of administrative region data, is to make according to investigation and the statistics of some administrative regions abbreviations or another name;
Classification and Identification: Classification and Identification is to input a system flow of identification retrieval mode according to user, when user inputs the classified information that need to search, system can be identified this classified information in taxonomy database and point of interest tag along sort, if identified successfully, can give tacit consent to and enter point of interest classified search branch; Wherein point of interest tag along sort is the expansion of the various dimensions of classified information, can be used as a search condition of point of interest, has greatly strengthened the identification range to user's input;
Telephone number identification: telephone number identification is divided into area code identification and two parts of telephone number information identification, telephone number rule can, for user's input, first be carried out the operation of area code Intelligent Recognition, after identifying successfully, according to the current search domain of area code information setting;
Search index: after above-mentioned Intelligent Recognition process, system can, according to current region information and search branch, continue to carry out the traverse and match of index data in frame search index data, but the scope of search diminish; The different index datas of searching for branch finally all can point in the database of different searching objects;
Information extraction: a frame retrieval can provide the result for retrieval of Four types, is respectively intersection, road, number and point of interest; According to the lookup result of previous step index information, in disparate databases, extract result for retrieval;
Input prompt is made:
In the process of user entered keyword, input prompt information is provided in real time, this information be equivalent to result for retrieval preferentially with merging, user as long as importation key word can in information, select the result for retrieval of oneself wanting;
Result for retrieval is made: by the result for retrieval extracting from database by certain rule compositor;
Display list: buffer memory result for retrieval, and result is provided away according to unified form.
Advantage of the present invention:
One frame search method of described navigator of the present invention, can input the detailed process of reasoning, analysis according to user, carry out retrieval analysis, meanwhile, for retrieval mass data, gradually reduces implementer's case of data search scope.All types of searching objects all can be retrieved in same input frame, and have realized the function of inputting identification search domain according to user.Specifically comprise the design of retrieving matched rule, the correlation technique that the software of retrieval is realized.
Have a set of intelligentized analysis process, by analysis user, input, automatically for user selects required retrieval mode.Compare general search function, a frame retrieval can be wider for the data volume of user search, more comprehensively.User does not need, for selecting which function just can find the problem of destination worried, greatly to have simplified the use complexity of navigation again.
Accompanying drawing explanation
Below in conjunction with drawings and the embodiments, the present invention is further detailed explanation:
Fig. 1 is a frame retrieval flow figure;
Fig. 2 is a frame retrieval block diagram.
Embodiment
Embodiment 1
The invention provides an a kind of frame search method of navigator, it is characterized in that: a frame search method of described navigator, according to the investigation result of user behavior analysis, different result for retrieval is provided, wherein comprise POI key element and the full attribute information of road key element, design the behavior recognition rule of a frame retrieval, guarantee that user can retrieve according to different initial conditions the result for retrieval that meets user's idea;
Concrete introduction enters after a frame search, a series of analytic processes of carrying out for user's input:
Administrative region identification: the present invention supports to identify the administrative region function of user's input, when user's line of input political affairs zone name, system can be inputted traversal administrative area label according to user, by three grades of feature fuzzy matching administrative region titles of province, city and region, and carry out special processing for municipality directly under the Central Government and province's linchpin county, guarantee to match the region result that user wants; It should be noted that, when the administrative region of user's input, the match is successful, and the search domain that former acquiescence is selected is by conductively-closed, and the region result after coupling is preferential;
Classification and Identification: when specific name information that user input is wanted to search, system can be mated in tag along sort data, if the match is successful, at this moment the data area of retrieval is contracted to POI data division; It should be noted that, label data be to grouped data defect make up with function of search on expansion; A POI can belong to a kind of classification, also can belong to multiple label, and the statement by label can weaken the ambiguousness of classification; Certainly another advantage of label data is the large data definition according to user;
Keyword recognition: the data area of keyword recognition pattern support retrieval is the widest, comprises all POI key elements and the full attribute information of road key element; For user's input, carry out intellectuality coupling, automatically for user selects required retrieval mode, the data area of constantly dwindling retrieval in the process of coupling;
According to user behavior analysis, formulated following recognition rule:
Telephone number identification: when the key word of system identification user input is all numeral, attribute for current national phone is analyzed, take China as example, system can analyze in input, whether to comprise area code or "-" the number attribute information of expecting someone's call, when determining that while meeting attribute information requirement, system is automatically for user's selection is retrieved according to telephone number;
Interest point information, road information identification: according to search domain information, select to need POI factor database and the road factor database of traversal, fuzzy matching user input;
Intersection information identification: because of the singularity of intersection retrieval, need in road information database and intersection information database, search successively according to user's input, and intersection at least needs two or more road to form, therefore in matching process, to distinguish user and input two kinds of situations of one or more road and process respectively, guarantee the comprehensive of intersection result for retrieval;
Number information identification: number information belongs to the part in the full attribute information of road key element, therefore support the front entering number retrieval minute, need user first to determine the road information at number place, according to the matching result of road information, travel through corresponding number information database again, obtain the required number address of user.
One frame retrieval: a frame retrieval externally provides a set of independently interface to call for upper strata;
Input processing: can carry out character conversion to input, remove some invalid characters and insignificant word;
Administrative area identification: administrative region identification is to input according to user, a kind of identifying of intelligent matching row political affairs zone name in administrative area regional data base and administrative region label information, if the match is successful, this matching result preferentially can be set to current search domain; It should be noted that, administrative region label information belongs to the expansion of administrative region data, is to make according to investigation and the statistics of some administrative regions abbreviations or another name;
Classification and Identification: Classification and Identification is to input a system flow of identification retrieval mode according to user, when user inputs the classified information that need to search, system can be identified this classified information in taxonomy database and point of interest tag along sort, if identified successfully, can give tacit consent to and enter point of interest classified search branch; Wherein point of interest tag along sort is the expansion of the various dimensions of classified information, can be used as a search condition of point of interest, has greatly strengthened the identification range to user's input;
Telephone number identification: telephone number identification is divided into area code identification and two parts of telephone number information identification, telephone number rule can, for user's input, first be carried out the operation of area code Intelligent Recognition, after identifying successfully, according to the current search domain of area code information setting;
Search index: after above-mentioned Intelligent Recognition process, system can, according to current region information and search branch, continue to carry out the traverse and match of index data in frame search index data, but the scope of search diminish; The different index datas of searching for branch finally all can point in the database of different searching objects;
Information extraction: a frame retrieval can provide the result for retrieval of Four types, is respectively intersection, road, number and point of interest; According to the lookup result of previous step index information, in disparate databases, extract result for retrieval;
Input prompt is made:
In the process of user entered keyword, input prompt information is provided in real time, this information be equivalent to result for retrieval preferentially with merging, user as long as importation key word can in information, select the result for retrieval of oneself wanting;
Result for retrieval is made: by the result for retrieval extracting from database by certain rule compositor;
Display list: buffer memory result for retrieval, and result is provided away according to unified form.
Claims (2)
1. a frame search method of a navigator, it is characterized in that: a frame search method of described navigator, according to the investigation result of user behavior analysis, different result for retrieval is provided, wherein comprise POI key element and the full attribute information of road key element, design the behavior recognition rule of a frame retrieval, guarantee that user can retrieve according to different initial conditions the result for retrieval that meets user's idea;
Concrete introduction enters after a frame search, a series of analytic processes of carrying out for user's input:
Administrative region identification: the present invention supports to identify the administrative region function of user's input, when user's line of input political affairs zone name, system can be inputted traversal administrative area label according to user, by three grades of feature fuzzy matching administrative region titles of province, city and region, and carry out special processing for municipality directly under the Central Government and province's linchpin county, guarantee to match the region result that user wants; It should be noted that, when the administrative region of user's input, the match is successful, and the search domain that former acquiescence is selected is by conductively-closed, and the region result after coupling is preferential;
Classification and Identification: when specific name information that user input is wanted to search, system can be mated in tag along sort data, if the match is successful, at this moment the data area of retrieval is contracted to POI data division; It should be noted that, label data be to grouped data defect make up with function of search on expansion; A POI can belong to a kind of classification, also can belong to multiple label, and the statement by label can weaken the ambiguousness of classification; Certainly another advantage of label data is the large data definition according to user;
Keyword recognition: the data area of keyword recognition pattern support retrieval is the widest, comprises all POI key elements and the full attribute information of road key element; For user's input, carry out intellectuality coupling, automatically for user selects required retrieval mode, the data area of constantly dwindling retrieval in the process of coupling;
According to user behavior analysis, formulated following recognition rule:
Telephone number identification: when the key word of system identification user input is all numeral, attribute for current national phone is analyzed, take China as example, system can analyze in input, whether to comprise area code or "-" the number attribute information of expecting someone's call, when determining that while meeting attribute information requirement, system is automatically for user's selection is retrieved according to telephone number;
Interest point information, road information identification: according to search domain information, select to need POI factor database and the road factor database of traversal, fuzzy matching user input;
Intersection information identification: because of the singularity of intersection retrieval, need in road information database and intersection information database, search successively according to user's input, and intersection at least needs two or more road to form, therefore in matching process, to distinguish user and input two kinds of situations of one or more road and process respectively, guarantee the comprehensive of intersection result for retrieval;
Number information identification: number information belongs to the part in the full attribute information of road key element, therefore support the front entering number retrieval minute, need user first to determine the road information at number place, according to the matching result of road information, travel through corresponding number information database again, obtain the required number address of user.
2. according to a frame search method of navigator claimed in claim 1, it is characterized in that:
One frame retrieval: a frame retrieval externally provides a set of independently interface to call for upper strata;
Input processing: can carry out character conversion to input, remove some invalid characters and insignificant word;
Administrative area identification: administrative region identification is to input according to user, a kind of identifying of intelligent matching row political affairs zone name in administrative area regional data base and administrative region label information, if the match is successful, this matching result preferentially can be set to current search domain; It should be noted that, administrative region label information belongs to the expansion of administrative region data, is to make according to investigation and the statistics of some administrative regions abbreviations or another name;
Classification and Identification: Classification and Identification is to input a system flow of identification retrieval mode according to user, when user inputs the classified information that need to search, system can be identified this classified information in taxonomy database and point of interest tag along sort, if identified successfully, can give tacit consent to and enter point of interest classified search branch; Wherein point of interest tag along sort is the expansion of the various dimensions of classified information, can be used as a search condition of point of interest, has greatly strengthened the identification range to user's input;
Telephone number identification: telephone number identification is divided into area code identification and two parts of telephone number information identification, telephone number rule can, for user's input, first be carried out the operation of area code Intelligent Recognition, after identifying successfully, according to the current search domain of area code information setting;
Search index: after above-mentioned Intelligent Recognition process, system can, according to current region information and search branch, continue to carry out the traverse and match of index data in frame search index data, but the scope of search diminish; The different index datas of searching for branch finally all can point in the database of different searching objects;
Information extraction: a frame retrieval can provide the result for retrieval of Four types, is respectively intersection, road, number and point of interest; According to the lookup result of previous step index information, in disparate databases, extract result for retrieval;
Input prompt is made:
In the process of user entered keyword, input prompt information is provided in real time, this information be equivalent to result for retrieval preferentially with merging, user as long as importation key word can in information, select the result for retrieval of oneself wanting;
Result for retrieval is made: by the result for retrieval extracting from database by certain rule compositor;
Display list: buffer memory result for retrieval, and result is provided away according to unified form.
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| CN201410360198.4A CN104112020A (en) | 2014-07-25 | 2014-07-25 | Frame type retrieval method for navigation equipment |
| CN201510437871.4A CN105069047B (en) | 2014-07-25 | 2015-07-23 | A kind of search method and device of geography information |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105183908A (en) * | 2015-09-30 | 2015-12-23 | 北京奇虎科技有限公司 | Point of interest (POI) data classifying method and device |
| CN108280195A (en) * | 2018-01-26 | 2018-07-13 | 五八有限公司 | Querying method, device, equipment based on index slip and storage medium |
| CN109992695A (en) * | 2019-04-10 | 2019-07-09 | 北京奇艺世纪科技有限公司 | A kind of video information querying method and device |
| CN112487313A (en) * | 2020-11-30 | 2021-03-12 | 北京百度网讯科技有限公司 | Interest point identification method and device, electronic equipment and storage medium |
| CN112508532A (en) * | 2020-12-16 | 2021-03-16 | 深圳市中博科创信息技术有限公司 | Traffic statistical method for second batch service management system |
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| TWI773658B (en) * | 2017-01-17 | 2022-08-11 | 香港商阿里巴巴集團服務有限公司 | POI service providing method, POI data processing method and device |
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| CN103336848B (en) * | 2013-07-22 | 2016-09-28 | 五八同城信息技术有限公司 | A kind of sort method of information of classifying |
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2014
- 2014-07-25 CN CN201410360198.4A patent/CN104112020A/en active Pending
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2015
- 2015-07-23 CN CN201510437871.4A patent/CN105069047B/en active Active
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105183908A (en) * | 2015-09-30 | 2015-12-23 | 北京奇虎科技有限公司 | Point of interest (POI) data classifying method and device |
| CN105183908B (en) * | 2015-09-30 | 2019-05-28 | 北京奇虎科技有限公司 | A kind of classification method and device of point of interest POI data |
| CN108280195A (en) * | 2018-01-26 | 2018-07-13 | 五八有限公司 | Querying method, device, equipment based on index slip and storage medium |
| CN109992695A (en) * | 2019-04-10 | 2019-07-09 | 北京奇艺世纪科技有限公司 | A kind of video information querying method and device |
| CN109992695B (en) * | 2019-04-10 | 2021-08-27 | 北京奇艺世纪科技有限公司 | Video information query method and device |
| CN112487313A (en) * | 2020-11-30 | 2021-03-12 | 北京百度网讯科技有限公司 | Interest point identification method and device, electronic equipment and storage medium |
| CN112487313B (en) * | 2020-11-30 | 2024-08-20 | 北京百度网讯科技有限公司 | Point of interest identification method, device, electronic equipment and storage medium |
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Also Published As
| Publication number | Publication date |
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| CN105069047B (en) | 2019-05-07 |
| CN105069047A (en) | 2015-11-18 |
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Application publication date: 20141022 |