KR20130031145A - Web information classification system and searching system based on positional information using the web information classification system and the method thereof - Google Patents

Web information classification system and searching system based on positional information using the web information classification system and the method thereof Download PDF

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Publication number
KR20130031145A
KR20130031145A KR1020110094896A KR20110094896A KR20130031145A KR 20130031145 A KR20130031145 A KR 20130031145A KR 1020110094896 A KR1020110094896 A KR 1020110094896A KR 20110094896 A KR20110094896 A KR 20110094896A KR 20130031145 A KR20130031145 A KR 20130031145A
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South Korea
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information
unit
web
place
location
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KR1020110094896A
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Korean (ko)
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이진희
김창모
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김창모
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Priority to KR1020110094896A priority Critical patent/KR20130031145A/en
Publication of KR20130031145A publication Critical patent/KR20130031145A/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network

Abstract

Disclosed are a web information classification system, a location information related retrieval system, and a method thereof. The location information related search system may include a keyword input unit that receives a search keyword from a user, a location association search unit that extracts web unit information having place information within a predetermined location range as a search result for the keyword, and the extracted web unit. And a web information classification unit for classifying the information by the associated unit places and scoring the rankings of the unit places, and a result exposure unit for exposing the web unit information associated with the unit place as a search result according to the ranking of the unit places. have.

Description

WEB INFORMATION CLASSIFICATION SYSTEM AND SEARCHING SYSTEM BASED ON POSITIONAL INFORMATION USING THE WEB INFORMATION CLASSIFICATION SYSTEM AND THE METHOD THEREOF}

The present invention relates to a web information classification system, a location information related search system and method using the same, and more particularly, to insert and index location information into web information such as a web page, and use the web information into which the location information is inserted when searching for keywords. A system and method for exposing search results.

Conventional keyword search has not shown the web page results for the most popular places within a specific location range as priorities, such as exposing the results with the most referenced web pages as priorities. Conventionally, a method of displaying a screen by matching a photo including GPS information with address information and extracting a photo having address information matching the search word is disclosed (Korea Patent Registration 10-0882025). By simply matching the address information to the photo and comparing the matched address information with the keywords, there is a problem that can not give priority to the searchers the places popular with users.

Therefore, there is a need for a system and method for performing a search based on location information and providing the search results of places popular with users first.

The present invention provides a web information classification system capable of exposing a result by using place information matched with the unit information when searching for a keyword by matching place information with respect to each piece of unit information existing on the web.

The present invention searches for web unit information around a predetermined location in response to a keyword search, and finds the number of web unit information related to a specific place to provide a web search result for a popular place. Provides a system and method.

Web information classification system according to an embodiment of the present invention, a location-associated database for matching and storing location information and the existing place information corresponding to the location information, a web information database for storing unit information existing on the web, A location identifier extraction unit for extracting a location identifier from unit information existing on the web, a place matching unit matching the unit information existing on the web with the existing place information using the location identifier, and the place matching unit It may include a web information classification database for storing the matched information.

According to an aspect of the present invention, the location information is composed of at least one of location coordinates, address, longitude, latitude, number of floors, and height information, wherein the existing place information, business place information of the existing place corresponding to the location information It may be composed of at least one of, house information, and building information.

According to an aspect of the present invention, the unit information existing on the web may include at least one of a Twitter text, a blog comment, a blog posting, a web document, a Facebook posting, and an image.

According to an aspect of the present invention, the location identifier may include at least one of a word, a number, an image, and a code for identifying a location.

According to an aspect of the present invention, the place matching unit may match unit information existing on the web with location information recognized by the location identifier and the location information stored in the place association database. Can be.

The position information associated search system according to an embodiment of the present invention includes a keyword input unit for receiving a search keyword from a user, and a position association for extracting web unit information having place information within a predetermined location range as a search result for the keyword. A search unit, a web information classification unit for classifying the extracted web unit information by related unit places, and ranking and ranking the unit places, and web unit information associated with the unit place as a search result according to the ranking of the unit place. The exposure may include an exposed portion.

According to an aspect of the present invention, the number of presence of web unit information associated with a place may be arranged based on a predetermined place.

According to an aspect of the present invention, it is possible to display one or more unit places within a predetermined rank on a map, and to provide a route guide to the one or more unit places as a destination.

In accordance with an aspect of the present invention, there is provided a method for searching location-related information, including: receiving a search keyword from a user; extracting web unit information having place information within a predetermined location range as a search result for the keyword; Classifying the extracted web unit information by an associated unit place, scoring and ranking the unit places, and exposing web unit information associated with the unit place as a search result according to the rank of the unit place. have.

According to an embodiment of the present invention, by matching place information with respect to each of the unit information existing on the web, web information classification that can expose the results using the place information matched to the unit information when searching for keywords A system is provided.

According to an embodiment of the present invention, in response to a keyword search, the web unit information around a predetermined location may be searched, and the number of web unit information related to a specific place may be determined to provide a web search result for a popular place. A location related search system and method are provided.

1 is a diagram showing the configuration of a web information classification system according to an embodiment of the present invention.
2 is a view for explaining a process of extracting a location identifier from a web document according to an embodiment of the present invention.
Figure 3 is a block diagram showing a location information associated search system according to an embodiment of the present invention.
4 is a diagram illustrating a process of classifying web unit information associated with each place according to an exemplary embodiment of the present invention.
5 is a view for explaining a location information association search method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.

1 is a diagram showing the configuration of a web information classification system according to an embodiment of the present invention.

That is, the web information classification system 100 may match the relevant location information with unit information such as web documents and blog comments that can be collected on the web, so that the unit information on the web can be indexed using a place. have.

For the configuration of the web information classification system 100 for this, referring to FIG. 1, the web information classification system 100 includes a place association database 110, a web information database 120, a location identifier extractor 130, and a place. Matching unit 140, and Web information classification database 150.

The place association database 110 may match and store location information and existence place information corresponding to the location information. Here, the location information may be at least one of location coordinates, address, longitude, latitude, number of floors, and height information. Existing place information may include at least one of business place information, house information, and building information of an existing place corresponding to the location information. There may be at least one.

For example, when the location information is an address, the location information corresponding to each address may be matched and stored. For example, the existence place corresponding to '1, Yongho-dong, Uichang-gu, Changwon-si' can be saved by matching 'Changwon City Hall', or the existing place corresponding to '73 -14, Yongho-dong, Uichang-gu, Changwon-si 'is' Daewon Sundubu' Can be matched and stored.

As another example, when the location information is longitude and latitude, the location information corresponding to the longitude and latitude may be matched and stored. If the location corresponding to the longitude and latitude is a multi-storey building, the floor information of the building may be stored together. Can be. For example, a place corresponding to latitude and longitude 37 ° 3'58.35 "N and 126 ° 8'40.30" E may be stored as "Seoul City Hall". In addition, the first floor 102 of the mall building with latitude and longitude 37 ° 3'58.45 "N, 126 ° 8'40.50" E is 'A pork rib' and the second floor 203 is 'B shabu shabu' have.

As described above, all the existing place information for each location information may be matched and stored in the place association database 110.

The web information database 120 may store unit information existing on the web. Here, the unit information existing on the web may mean a unit of information that can be collected on the web, and may include units having information on the web, such as Twitter text, blog comment, blog posting, web document, Facebook posting, and image. have.

The web information database 120 may collect and store all unit information existing on the web.

The location identifier extractor 130 may extract the location identifier from the unit information existing on the web. Here, the location identifier may mean a word, a number, an image, a code, etc. indicating the location.

For example, if a word indicating an address is included on a web page that is unit information, the word indicating an address may be a location identifier, and the location identifier extracting unit 130 may extract an address which is such a location identifier from a web page. Can be.

2 is a diagram illustrating a process of extracting a location identifier from a web document according to an embodiment of the present invention.

Referring to FIG. 2, when the web document 210 includes an address 220 which is a location identifier, the address may be extracted. Through this, a location associated with the web document 210 may be extracted.

As another example, when a number regarding latitude and longitude is written on the blog, the number is determined as the location identifier, and the location identifier extracting unit 130 may extract the number from the blog.

As another example, when a code indicating an address is included on a blog, the code is determined to be a location identifier, and the location identifier extractor 130 may extract the code from the blog.

The place matching unit 140 may match the unit information existing on the web with the existence place information by using the location identifier. That is, the place matching unit 140 may match the unit information existing on the web with the existing place information by using the location information recognized from the location identifier and the matching information stored in the place association database.

In other words, it is determined that the unit information of the web including the location identifier is related to the location information that can be recognized through the location identifier, and includes the location identifier using the information stored in the place association database 110. The unit information of the web and the real place information can be matched.

For example, if a web document includes an address (eg, 73-14 Yongho-dong, Uichang-gu, Changwon-si), the web document is determined to be related to the included address, and the location information matched with the address ( Daewon soft tofu) and the web document can be matched again.

The web information classification database 150 may store information matched by the place matching unit 140.

As described above, by matching place information with respect to each of the unit information existing on the web, it is possible to provide a variety of services using the unit information and location information of the web in connection.

In addition, when this is used for keyword search, a search result with higher user satisfaction may be provided using place information matched with the unit information.

3 is a block diagram illustrating a system for searching for location information association according to an embodiment of the present invention. That is, when the web information classification system 100 is used for the search, a system for performing the search by linking the location information is shown in FIG. 3.

Referring to FIG. 3, the location information related search system 300 may include a keyword input unit 310, a location related search unit 320, a web information classifier 330, and a result exposure unit 340.

The keyword input unit 310 receives a search keyword from a user. For example, the keyword input unit 310 may include various types of input modules for receiving keywords such as a search box for text input and a voice receiver for voice input.

The location-related search unit 320 may extract web unit information having place information within a predetermined location range as a search result for the keyword. Here, the predetermined location range may be set within a predetermined range from the current location of the user, for example. In addition, the predetermined location range may be set within a predetermined range from the location indicating the location or place when the search keyword includes a word indicating the location or the place as another example.

For example, when the search keyword "Changwon restaurant" is input, since the word "changwon" is included in the keyword, the web unit information having the location information in the Changwon can be extracted. That is, it can be detected as a search result only when the word, number, address, code, etc. related to Changwon are included in the web unit information.

The web information classification unit 330 may classify the extracted web unit information for each related unit place and score the unit places. That is, based on a predetermined place, the number of the web unit information associated with the place can be sorted. For example, as described above, when 'Changwon restaurant' is entered as a search keyword, web unit information (ex. Blog, homepage, cafegle, etc.) related to a restaurant having location information in Changwon is extracted and extracted. The web unit information is again classified by place information and may be scored and ranked according to the high and low number of existence of web unit information associated with a place. A specific embodiment will be described below with reference to FIG. 4.

4 is a diagram for describing a process of classifying web unit information associated with each place according to an exemplary embodiment of the present invention.

Referring to FIG. 4, when a user inputs a search keyword 'Changwon restaurant' through a PC or a mobile phone, 20 pieces of web unit information related to 'A restaurant' as a search result for 'Changwon restaurant', Web unit information about 'B restaurant' and 30 web unit information about 'C restaurant' may be finally classified into 40 pieces. By analyzing the classification results, 20 points are assigned to 'A restaurant' with 20 related web unit information, and 30 points are given to 'B restaurant' with 30 associated web unit information. 40 existing 'C restaurants' can be given 40 points. That is, since the most relevant information about 'C restaurant' is the highest score of 'C restaurant', it can be determined that the popularity of 'C restaurant' is the highest. That is, the biggest intention that the search keyword inputter inputs 'Changwon restaurant' will be the intention to find the most popular restaurant. Therefore, the extracted web unit information is classified according to the place information, resulting in higher satisfaction to the user. Can be provided.

Meanwhile, in the above embodiment, a place where the number of related web unit information is the most popular is selected as the most popular place, but a popular place may be selected by varying the weight according to the type of the web unit information.

For example, there are 5 blog posts for 'A Restaurant', 13 web documents, and 2 Twitter. 25 blog posts for 'B Restaurant, 2 web documents, 3 Twitter. , If there are 5 blog posts for 'C Restaurant', 13 web documents, and 22 Twitter, the total number of web unit information is 'C Restaurant', but the weight of blog posting is 3, If the weight is 2 and the weight of Twitter is 1, 'B Restaurant' has the highest total score, so it is determined to be the most popular restaurant among the search results and may be exposed as the top search result.

The result exposure unit 340 may expose the web unit information associated with the unit place as a search result according to the ranking of the unit place. For example, the result exposure unit 340 may expose the web unit information associated with the highest score unit place as the top search result. That is, as mentioned above, since the place having the most web unit information (ex. Restaurant) is most likely to be a search result that the user wants to check as the top result, according to an embodiment of the present invention, The web unit information on the place having the web unit information is exposed as the top search result.

In addition, the result exposure unit 340 may display one or more unit places within a predetermined rank on a map, and provide a road guide to the one or more unit places as a destination. Therefore, according to an embodiment of the present invention, the user can more easily go to the unit place on the map exposed as a search result.

As described above, in response to the keyword search, by searching the web unit information around a predetermined position, by grasping the number of web unit information associated with a specific place, and determining the exposure order of the search results in accordance with the large and small number , You can provide web search results for popular places as your top results.

Therefore, according to an embodiment of the present invention, a location information related search system that can more accurately provide a search result intended by a user may be provided.

5 is a diagram for describing a method for searching for location information association according to an embodiment of the present invention. In the case of the location-related search method, since the content mentioned in the location-related search system described in FIG. 4 may be applied, a portion overlapping with the above-mentioned content is omitted.

Referring to FIG. 5, in operation 510, a search keyword may be input from a user. As a method of receiving a search result from a user, various methods may be used according to the type of input device such as text input and voice input.

In operation 520, as a search result for the keyword, web unit information having place information within a predetermined location range may be extracted. If the search keyword does not include a word including a place, web unit information having place information about the user's current location (eg, within a radius of 2 km from the current location) may be extracted as a default value. In the case of including the web unit information about the periphery of the place can be extracted.

In operation 530, the extracted web unit information may be classified according to associated unit places, and the unit places may be scored. That is, the number of web unit information related to each detailed place may be classified, and the search result exposure ranking may be changed according to the classification result.

In operation 540, the web unit information associated with the unit of the highest score may be exposed as the top search result.

As described above, the location-related search method, when the user runs the app on a mobile device, such as a smart phone, based on the information on the current location to the nearest area around restaurants, clothing, bars, cafes, etc. It can be implemented by dividing it into several themes and exposing them by ranking, starting from the place with the most information units per theme.

As another example, the location-related search method, the app sends the current location information to the search server automatically when the user wants to search the input keywords, such as restaurants, clothing, bars, cafes after running the app, It can be implemented by dividing the nearest area into various themes such as restaurants, clothes shops, bars, and cafes, and then displaying the rankings from the places with the most information units by theme.

As described above, according to an embodiment of the present invention, by matching place information with respect to each of the unit information existing on the web, the result can be exposed using the place information matched to the unit information when searching for keywords. A web information classification system can be provided.

Further, according to an embodiment of the present invention, in response to a keyword search, the web unit information around a predetermined location is searched, and the number of web unit information related to a specific place is determined to provide a web search result for a popular place. A location related search system and method may be provided.

The method for searching for location information association according to an embodiment of the present invention includes a computer readable medium including program instructions for performing various computer-implemented operations. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The media may be program instructions that are specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be construed as limiting the scope of the invention as defined by the appended claims. Various modifications and variations are possible in light of the above teachings. Accordingly, it is to be understood that one embodiment of the present invention should be understood only by the appended claims, and all equivalent or equivalent variations thereof are included in the scope of the present invention.

110: place association database 120: web information database
130: location identifier extraction unit 140: place matching unit
150: Web information classification database 310: keyword input unit
320: location association search unit 330: web information classification unit
340: exposed result

Claims (9)

A place-associated database for matching and storing location information and existence place information corresponding to the location information;
A web information database for storing unit information existing on the web;
A location identifier extractor for extracting a location identifier from unit information existing on the web;
A place matching unit matching unit information existing on the web with the existing place information using the location identifier; And
Web information classification database for storing the information matched by the place matching unit
Web information classification system comprising a.
The method of claim 1,
The location information may include:
At least one of location coordinates, address, longitude, latitude, number of floors, and height information,
The existence place information,
And at least one of business information, housing information, and building information of an existing place corresponding to the location information.
The method of claim 1,
Unit information existing on the web,
A web information classification system comprising at least one of Twitter text, blog comments, blog postings, web documents, Facebook postings, and images.
The method of claim 1,
The location identifier is,
And at least one of a word, a number, an image, and a code for identifying a location.
The method of claim 1,
The place matching unit,
And matching the location information recognized from the location identifier with the location information existing in the web by using the matching information stored in the place-associated database.
A keyword input unit for receiving a search keyword from a user;
A location-associated search unit that extracts web unit information having place information within a predetermined location range as a search result for the keyword;
A web information classification unit classifying the extracted web unit information by an associated unit place, and ranking and ranking the unit places; And
A result exposure unit for exposing web unit information related to the unit place as a search result according to the rank of the unit place
Geolocation associated search system comprising a.
The method according to claim 6,
The web information classification unit,
The location information association search system, characterized in that the number of the presence of the web unit information associated with the place based on a predetermined place.
The method according to claim 6,
The resulting exposed portion,
And displaying one or more unit places within a predetermined rank on a map, and providing a road guide to the one or more unit places as a destination.
Receiving a search keyword from a user;
Extracting web unit information having place information within a predetermined location range as a search result for the keyword;
Classifying the extracted web unit information by an associated unit place and ranking the unit places by scores; And
Exposing web unit information related to the unit place as a search result according to the rank of the unit place.
Geolocation associated search method comprising a.
KR1020110094896A 2011-09-20 2011-09-20 Web information classification system and searching system based on positional information using the web information classification system and the method thereof KR20130031145A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150129905A (en) * 2014-05-12 2015-11-23 네이버 주식회사 Method, system and recording medium for providing map service, and file distribution system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150129905A (en) * 2014-05-12 2015-11-23 네이버 주식회사 Method, system and recording medium for providing map service, and file distribution system
US11880417B2 (en) 2014-05-12 2024-01-23 Naver Corporation Method, system and recording medium for providing map service, and file distribution system

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