CN103366005A - Searching method based on geographical position semantics - Google Patents
Searching method based on geographical position semantics Download PDFInfo
- Publication number
- CN103366005A CN103366005A CN2013103058847A CN201310305884A CN103366005A CN 103366005 A CN103366005 A CN 103366005A CN 2013103058847 A CN2013103058847 A CN 2013103058847A CN 201310305884 A CN201310305884 A CN 201310305884A CN 103366005 A CN103366005 A CN 103366005A
- Authority
- CN
- China
- Prior art keywords
- geographic position
- semantic
- resolving
- storehouse
- geographical position
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a searching method based on geographical position semantics, which comprises the following steps: step one: establishing a geographical position semantic resolving library; step two: inputting geographical position searching information; step three: checking whether the geographical position semantic characteristic exists in the inputted geographical position search information or not; step four: carrying out resolving on the geographical position semantic characteristic of the inputted geographical position search information by the geographical position semantic resolving library to obtain a united geographical position description language. In the searching method based on the geographical position semantics, user input with geographical position semantic characteristic is judged and resolved through a plurality of geographical position resolving libraries subdivided according to various angles of the geographical position to carry out judging and resolving; a united position description language is outputted; the accurate geographical position is resolved to the search of any user as far as possible; so that a more accurate guide is brought to the final search result.
Description
Technical field
The present invention relates to a kind of method of searching for the geographic position, be specifically related to a kind of searching method based on the geographic position semanteme.
Background technology
What current search technique adopted mostly is full-text search, only processes text, namely comprises the record of keyword as object search goes for take the keyword of input, does not process semanteme.When the user inputs keyword when having recapitulative descriptive language, Output rusults is often also unsatisfactory, even the user finds satisfied information surely through repeatedly searching for also to differ, want to look for one specific to the examples of addresses in villages and small towns such as the user, input " address, villages and small towns " in Baidu can see that Search Results follows the not scrap (bridge) of oneself wanting; Adopt as the user in the situation of text input and phonetic entry, because it is often inconsistent again to lack semantic parsing Search Results.Society information is how much level ground and increases, and the application of navigation and location-based service is also more and more wider, and simple full-text search can't be satisfied the growing all kinds of demands of user already, also is subject to more and more many people's attention based on the search of geographic position semanteme.
Summary of the invention
Technical matters to be solved by this invention provides a kind of searching method based on the geographic position semanteme of the geographic position that relates to for vertical search, for any user's search parses accurate as far as possible geographic position, thereby do a more accurately guiding for final Search Results.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of searching method based on the geographic position semanteme, may further comprise the steps,
Step 1: set up the semantic storehouse of resolving, geographic position;
Step 2: input geographic position search information;
Step 3: check in the geographic position search information of inputting whether have the geographic position semantic feature;
Step 4: resolve the geographic position semantic feature of the geographic position search information of input in the semantic storehouse of resolving, described geographic position, obtains a unified geographic position descriptive language.
The invention has the beneficial effects as follows: in a kind of searching method based on the geographic position semanteme, to there being user's input of geographic position semantic feature, having segmented a plurality of geographic position from the different angles in geographic position resolves the storehouse and judges and resolve, and export unified location expression language, for any user's search parses accurate as far as possible geographic position, thereby do a more accurately guiding for final Search Results.
On the basis of technique scheme, the present invention can also do following improvement.
Further, the user inputs self learning system and within the default cycle geographic position search information that has the geographic position semantic feature of input is added up and put in order;
Expert system is examined the geographic position search information that has the geographic position semantic feature that the user inputs self learning system statistics and arrangement, by man-machine interaction with the geographic position semantic resolve do not have in the storehouse and put into the semantic storehouse of resolving, described geographic position with the geographic position search information of geographic position semantic feature.
Further, described input geographic position search information comprises one or more the combination in literal, voice, image, the video;
Described geographic position semantic feature comprises latitude and longitude coordinates, place name address, POI title, dimensional orientation, image space, sdi video.
Further, the semantic storehouse of resolving, described geographic position comprises latitude and longitude coordinates semantic parser, place name address semantic parser, POI title semantic parser, dimensional orientation semantic parser, image space semantic parser, sdi video semantic parser.
Further, the database of whole geographic position coverage of the corresponding storage certain area of the geographic position semantic feature of described latitude and longitude coordinates, the semantic field information of resolving the latitude and longitude coordinates semantic parser in the storehouse in geographic position corresponding to the geographic position semantic feature of described latitude and longitude coordinates comprise at least geographic name, represent the geographic position coverage of this geographic name, the provinces and cities county and town village at this place, geographic position.
Further, the geographic position semantic feature of described place name address the semantic field information of resolving the place name address semantic parser in the storehouse in corresponding geographic position comprise at least address name, latitude and longitude coordinates corresponding to this address.
Further, the geographic position semantic feature of described POI title the semantic field information of resolving POI title semantic parser in the storehouse in corresponding geographic position comprise at least the position coordinates of POI title, POI, the address of POI.
Further, the geographic position semantic feature of described dimensional orientation the coefficient value of the semantic field information of resolving the dimensional orientation semantic parser in the storehouse in corresponding geographic position when comprising at least default angle corresponding to orientation title, orientation related term, this orientation, mark value, computer azimuth longitude and latitude.
Further, geographic position corresponding to described image space be semantic resolves image space semantic parser in the storehouse according to position and the mouse position clicked of picture on computer screen, get access to mouse and click the place at the pixel of image, according to pixel and picture name, finish image coordinate to the conversion of geographical space coordinate by the semantic modeling method of resolving the storehouse in the corresponding geographic position of image space.
Further, the semantic sdi video semantic parser of resolving in the storehouse in the geographic position that described sdi video is corresponding is obtained the frame number that mouse is clicked moment video playback according to the time of mouse click and the time shaft of video, thereby get access to picture corresponding to this frame, and then adopt the semantic storehouse of resolving, the corresponding geographic position of image space that this picture is resolved, finish the sdi video coordinate to the conversion of geographical space coordinate.
Description of drawings
Fig. 1 is the process flow diagram of a kind of searching method based on the geographic position semanteme of the present invention.
Embodiment
Below in conjunction with accompanying drawing principle of the present invention and feature are described, institute gives an actual example and only is used for explaining the present invention, is not be used to limiting scope of the present invention.
As shown in Figure 1, for literal, voice, image, videos etc. are the geographic position search information of user's input arbitrarily, the semantic storehouse of resolving, model geographic position, the semantic storehouse of resolving, geographic position comprises the latitude and longitude coordinates semantic parser, place name address semantic parser, POI title semantic parser, the dimensional orientation semantic parser, the image space semantic parser, the sdi video semantic parser, then check literal, voice, image, whether there is the geographic position semantic feature in the geographic position search information that the user inputs arbitrarily such as video, this category feature comprises: latitude and longitude coordinates, the place name address, the POI title, dimensional orientation, image space, sdi video, the semantic storehouse of resolving, the geographic position of described foundation is to the literal of user's input, voice, image, the geographic position search information of video is carried out the geographic position parsing, obtains a unified geographic position descriptive language; The geographic position search information of the literal that the while self learning system was inputted the user who has the geographic position semantic feature within the predetermined cycle, voice, image, video is constantly added up and is put in order this user and inputs the corresponding information relevant with the geographic position, by expert system geographic position and the relevant information of adding up and put in order are examined at last, by man-machine interaction the geographic position semanteme put in the word that does not have with the semantic parsing of geographic position semantic feature and geographic position storehouse in user's input after the expert system msu message is errorless and resolve the storehouse.
Described latitude and longitude coordinates semantic parser, a corresponding storage China (or certain piece specific region) is the database of geographic position coverage all, its field information should comprise at least: a) geographic name, b) represent the geographic position coverage of this geographic name, c) the provinces and cities county and town village at this place, geographic position.For directly comprising latitude and longitude coordinates in the user input, by judging the zone at this longitude and latitude place, determine its geographical term title.Such as following table, PlaceName is geographic name, and CoverShape shows coverage, can be the Geometry type, it also can be the character string of a simple line of expression, such as the LINESTRING in the following table (27,34,51), LINESTRING shows it is a simple line, 27,34,51st, the latitude and longitude coordinates of three points of the simple line of composition.Location is the provinces and cities county and town village at this place, geographic position.Example such as following table (the non-actual value of the value of CoverShape only supplies stylistic reference in the table):
Described place name address semantic parser, the field information of its correspondence database should comprise at least: a) address name, such as XX road, XX city XX number, b) latitude and longitude coordinates corresponding to this address.Such as following table, Address represents the place name address, and LONG shows longitude, and LAT shows latitude.
Described POI title semantic parser, the field information of its correspondence database should comprise at least: a) POI title, b) position coordinates of POI, the position coordinates of POI can represent with longitude and two fields of latitude respectively, also the field of the character string of available expression point represents, such as POINT (27), POINT represents it is a point, the coordinate of 27 these points of expression, it generally is WGS1984 coordinate system latitude and longitude coordinates, also can be coordinate under the rectangular coordinate system, the c) address of POI be such as XX village, XX county, XX province XX city.Can also comprise other field informations relevant with POI.Such as following table, Name represents the POI title, and LONG shows longitude, and LAT shows latitude, the position at Location table POI place.
Described dimensional orientation semantic parser is to the parsing of locus, to realize in conjunction with POI name resolving device, the field information of its correspondence database should comprise at least: a) orientation title, such as the southeast, southwest, b) orientation related term, this related term is the word identical or close with noun of locality statement, to expand semantic analytical range, related term can be one, also can be a plurality of, separate with the space between a plurality of related terms, c) default angle corresponding to this orientation, when from user input, obtaining less than angle with the angle of this field, whether d) mark value, prompting use the complementary angle of the angle of obtaining from user input to calculate the coordinate in this orientation, e) coefficient value during the computer azimuth longitude and latitude.Such as following table, Pos shows the noun of locality, RelevantPos table orientation related term, and DefaultAngle represents the default angle of orientation deflection, UseCoangle represents that Dx shows the coefficient value of longitude to what obtain from user's input, the coefficient value of Dy table latitude.
| Pos | RelevantPos | DefaultAngle | UseCoangle | Dx | Dy |
| East | East is due east in the east | 0 | 0 | 1 | 1 |
| South | Due south in the south, south | 90 | 0 | 1 | 1 |
| The west | Positive west, west, west | 0 | 0 | -1 | 1 |
| North | North, north Zheng Bei | 90 | 0 | 1 | 1 |
| North-east | The east by north | 45 | 0 | 1 | 1 |
| The southeast | The east by south | 45 | 0 | 1 | -1 |
| Northwest | West by north | 45 | 0 | -1 | 1 |
| Southwest | West by south | 45 | 0 | -1 | -1 |
| The north by east | ? | 45 | 1 | 1 | 1 |
| South by east | ? | 45 | 1 | 1 | -1 |
| The north by west | ? | 45 | 1 | -1 | 1 |
| South by west | ? | 45 | 1 | -1 | -1 |
The below illustrates, if user's input is " 35 ° about 500 meters of east by south, Ministry of Revenue lane ", then can get access to the POI name of modifying the orientation: Ministry of Revenue lane, orientation: east by south, the orientation angles value: the distance in 35 ° and this azran Ministry of Revenue lane: 500m, according to 1 ° of ≈ 1.1 * 10
5M can obtain the number of degrees value dis after its conversion, get access to longitude and latitude long and the lat in Ministry of Revenue lane by POI name resolving device, owing to got access to the angle value of user's input, so Angle gets 35 ° otherwise Angle gets DefaultAngle, east by south, orientation according to user's input can get access to UseCoangle, Dx, Dy from following table, and then the roughly latitude and longitude coordinates Long in orientation and Lat can be calculated by following formula:
When UseCoangle=0, ∠ A=Angle, otherwise ∠ A=90 °-Angle
Long=long+Dx*dis*cos∠A
Lat=lat+Dy*dis*sin∠A
Described image space semantic parser, according to the position of picture on computer screen and the position of mouse click, get access to mouse and click the place at the pixel of image, according to pixel and picture name, finish image coordinate to the conversion of geographical space coordinate by the modeling method of image space semantic parser.
Described sdi video semantic parser, the time of clicking according to mouse and the time shaft of video obtain mouse and click the constantly frame number of video playback, thereby get access to picture corresponding to this frame, and then adopt the image space semantic parser that this picture is resolved, finish the sdi video coordinate to the conversion of geographical space coordinate.
Described unified position descriptive language is the result after the user's input that has the geographic position semantic feature is resolved through semantic parsing storehouse, geographic position.
Described user inputs self learning system, in specific period, the user's input that has the geographic position semantic feature is added up, and put this user in order and input the corresponding information relevant with the geographic position, the word that the geographic location feature dictionary is not had, through expert system examine this geographic location feature word and relevant location information errorless after, by man-machine interaction mode this word is entered semantic the parsing in the storehouse to its corresponding geographic position.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. searching method based on the geographic position semanteme is characterized in that: may further comprise the steps,
Step 1: set up the semantic storehouse of resolving, geographic position;
Step 2: input geographic position search information;
Step 3: check in the geographic position search information of inputting whether have the geographic position semantic feature;
Step 4: resolve the geographic position semantic feature of the geographic position search information of input in the semantic storehouse of resolving, described geographic position, obtains a unified geographic position descriptive language.
2. a kind of searching method based on the geographic position semanteme according to claim 1 is characterized in that: the user inputs self learning system and within the default cycle geographic position search information that has the geographic position semantic feature of input is added up and put in order;
Expert system is examined the geographic position search information that has the geographic position semantic feature that the user inputs self learning system statistics and arrangement, by man-machine interaction with the geographic position semantic resolve do not have in the storehouse and put into the semantic storehouse of resolving, described geographic position with the geographic position search information of geographic position semantic feature.
3. a kind of searching method based on the geographic position semanteme according to claim 1 is characterized in that: described input geographic position search information comprises one or more the combination in literal, voice, image, the video;
Described geographic position semantic feature comprises latitude and longitude coordinates, place name address, POI title, dimensional orientation, image space, sdi video.
4. a kind of searching method based on the geographic position semanteme according to claim 1 is characterized in that: the semantic storehouse of resolving, described geographic position comprises latitude and longitude coordinates semantic parser, place name address semantic parser, POI title semantic parser, dimensional orientation semantic parser, image space semantic parser, sdi video semantic parser.
5. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: the database of whole geographic position coverage of the corresponding storage certain area of the geographic position semantic feature of described latitude and longitude coordinates, the semantic field information of resolving the latitude and longitude coordinates semantic parser in the storehouse in geographic position corresponding to the geographic position semantic feature of described latitude and longitude coordinates comprise at least geographic name, represent the geographic position coverage of this geographic name, the provinces and cities county and town village at this place, geographic position.
6. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: the geographic position semantic feature of described place name address the semantic field information of resolving the place name address semantic parser in the storehouse in corresponding geographic position comprise at least address name, latitude and longitude coordinates corresponding to this address.
7. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: the geographic position semantic feature of described POI title the semantic field information of resolving POI title semantic parser in the storehouse in corresponding geographic position comprise at least the position coordinates of POI title, POI, the address of POI.
8. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: the geographic position semantic feature of described dimensional orientation the coefficient value of the semantic field information of resolving the dimensional orientation semantic parser in the storehouse in corresponding geographic position when comprising at least default angle corresponding to orientation title, orientation related term, this orientation, mark value, computer azimuth longitude and latitude.
9. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: geographic position corresponding to described image space be semantic resolves image space semantic parser in the storehouse according to position and the mouse position clicked of picture on computer screen, get access to mouse and click the place at the pixel of image, according to pixel and picture name, finish image coordinate to the conversion of geographical space coordinate by the semantic modeling method of resolving the storehouse in the corresponding geographic position of image space.
10. according to claim 1 to 4 each described a kind of searching methods based on the geographic position semanteme, it is characterized in that: the semantic sdi video semantic parser of resolving in the storehouse in the geographic position that described sdi video is corresponding is obtained the frame number that mouse is clicked moment video playback according to the time of mouse click and the time shaft of video, thereby get access to picture corresponding to this frame, and then adopt the semantic storehouse of resolving, the corresponding geographic position of image space that this picture is resolved, finish the sdi video coordinate to the conversion of geographical space coordinate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310305884.7A CN103366005B (en) | 2013-07-19 | 2013-07-19 | Searching method based on geographical position semantics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310305884.7A CN103366005B (en) | 2013-07-19 | 2013-07-19 | Searching method based on geographical position semantics |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103366005A true CN103366005A (en) | 2013-10-23 |
| CN103366005B CN103366005B (en) | 2017-02-08 |
Family
ID=49367346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310305884.7A Active CN103366005B (en) | 2013-07-19 | 2013-07-19 | Searching method based on geographical position semantics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103366005B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447091A (en) * | 2015-11-06 | 2016-03-30 | 百度在线网络技术（北京）有限公司 | Semantic position acquisition method and apparatus |
| CN109830226A (en) * | 2018-12-26 | 2019-05-31 | 出门问问信息科技有限公司 | A kind of phoneme synthesizing method, device, storage medium and electronic equipment |
| CN111694919A (en) * | 2020-06-12 | 2020-09-22 | 北京百度网讯科技有限公司 | Method and device for generating information, electronic equipment and computer readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1898710A (en) * | 2003-12-18 | 2007-01-17 | 松下电器产业株式会社 | Image processing device and image processing method |
| CN102075616A (en) * | 2010-11-08 | 2011-05-25 | 伍宗仁 | A GPS/GSM system and realization method thereof |
| CN103000029A (en) * | 2012-11-20 | 2013-03-27 | 河南亚视软件技术有限公司 | Vehicle video recognition method and application thereof |
| CN101635738B (en) * | 2008-07-26 | 2013-04-24 | 华为技术有限公司 | Method for obtaining service information, system thereof, customer terminal thereof and server thereof |
-
2013
- 2013-07-19 CN CN201310305884.7A patent/CN103366005B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1898710A (en) * | 2003-12-18 | 2007-01-17 | 松下电器产业株式会社 | Image processing device and image processing method |
| CN101635738B (en) * | 2008-07-26 | 2013-04-24 | 华为技术有限公司 | Method for obtaining service information, system thereof, customer terminal thereof and server thereof |
| CN102075616A (en) * | 2010-11-08 | 2011-05-25 | 伍宗仁 | A GPS/GSM system and realization method thereof |
| CN103000029A (en) * | 2012-11-20 | 2013-03-27 | 河南亚视软件技术有限公司 | Vehicle video recognition method and application thereof |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447091A (en) * | 2015-11-06 | 2016-03-30 | 百度在线网络技术（北京）有限公司 | Semantic position acquisition method and apparatus |
| CN105447091B (en) * | 2015-11-06 | 2018-11-06 | 百度在线网络技术（北京）有限公司 | Semantic locations acquisition methods and device |
| CN109830226A (en) * | 2018-12-26 | 2019-05-31 | 出门问问信息科技有限公司 | A kind of phoneme synthesizing method, device, storage medium and electronic equipment |
| CN111694919A (en) * | 2020-06-12 | 2020-09-22 | 北京百度网讯科技有限公司 | Method and device for generating information, electronic equipment and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103366005B (en) | 2017-02-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210365489A1 (en) | Geo-fence based coordinate data processing method and apparatus, and computer device | |
| Han et al. | A stacking-based approach to twitter user geolocation prediction | |
| Rae et al. | Mining the web for points of interest | |
| US20200326197A1 (en) | Method, apparatus, computer device and storage medium for determining poi alias | |
| US9442905B1 (en) | Detecting neighborhoods from geocoded web documents | |
| CN102142215B (en) | Adaptive geographic information voice explanation method based on position and speed | |
| US10127245B2 (en) | Systems, methods, and computer-readable media for interpreting geographical search queries | |
| US20150356088A1 (en) | Tile-based geocoder | |
| US20150278298A1 (en) | Apparatus and method for displaying image-based representations of geographical locations in an electronic text | |
| KR101859050B1 (en) | Method and system for searching map image using context of image | |
| US8949196B2 (en) | Systems and methods for matching similar geographic objects | |
| Chow et al. | Geographic disparity of positional errors and matching rate of residential addresses among geocoding solutions | |
| CN104090927A (en) | Lineation searching method and device based on electronic map | |
| CN103077201A (en) | Estimation method for unknown position based on internet initiative iteration detection | |
| CN103366005A (en) | Searching method based on geographical position semantics | |
| US20170192982A1 (en) | Searching Based On Geographical Density Of Entities | |
| CN111126422A (en) | Industry model establishing method, industry determining method, industry model establishing device, industry determining equipment and industry determining medium | |
| CN113360789A (en) | Interest point data processing method and device, electronic equipment and storage medium | |
| CN101567150A (en) | Method for accurately positioning digital map | |
| JP7028194B2 (en) | Knowledge generator for inference, knowledge generation method for inference, and program | |
| US20140214791A1 (en) | Geotiles for finding relevant results from a geographically distributed set | |
| KR20150021168A (en) | Field investigation system using smart device | |
| KR102194319B1 (en) | System and method for providing location based environment information to a user in a personalized map | |
| Bassi et al. | Construction of a geo-location service utilizing microblogging platforms | |
| CN106649813B (en) | Vertical domain knowledge base construction method based on environment perception and user feedback |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |