KR100797041B1 - Classified Web Sites Search System And Method - Google Patents

Abstract

The present invention discloses a classified web site search system and method for quickly finding a desired site by classifying web sites into groups and providing search results for each group according to a user's selection. After defining a group, the system of the present invention defines a grouping policy server for classifying words used in a web page into a group, a data collection server for collecting data by visiting web pages, and extracting a word for each web page. Identifier (ID) allocation server that classifies the web page and compares it with the defined word information and assigns the identifier (ID), and receives the index information of the web pages assigned the identifier (ID) corresponding to the group. Stored in the server, and when a keyword and a search command are received, a plurality of group search DBs that search for web pages matching the keyword, and a user inputs a search keyword, and if the user requests a full search, the keyword is applied to all group search DBs. To request a search and select Group Search to search only the group search DB corresponding to the selected group. It consists of a main index server that receives the search results from each group search DB and outputs the search results for the entire group or the search results for the selected group.

Classification, group, search, web page, word, group search, identifier, ID

Description

Classified Web Sites Search System And Method}

1 is a schematic diagram illustrating a classified web site retrieval system according to the present invention;

2 is an overall flowchart illustrating a web site search procedure according to the present invention;

3 is a flow chart showing the detailed procedure of building a search database of websites classified according to the present invention;

4 is a flow chart illustrating a procedure for searching a website using a search database classified according to the present invention.

5 shows an example of an identifier (ID) format according to the present invention;

6 is a structural example of an entire search result screen according to the present invention;

7 is a structural example of a group search result screen according to the present invention;

8 is a practical example of a search result screen according to the prior art.

* Explanation of symbols for main parts of the drawings

102: Internet 104: Website

110: user 120: search server system

121: Policy Server 122: Data Collection Server

123: ID assignment server 124,124-1 to 124-N: group search DB

125: main index server

The present invention relates to a system and method for searching a web site (page) on the Internet. More specifically, the web site is classified into groups according to a predetermined criterion, and then a search result is provided by group according to a user's selection. A classified web site search system and method thereof can be easily found.

In general, common search sites such as Google, Naver, DreamWiz, Daum, Yahoo, etc., have a database for classifying and storing website information according to predetermined criteria, and mechanically collecting new website information while continuously circulating on the web. It consists of a search robot to make a database of collected data so that users who use a search site can search. When a search site user enters a keyword, the search engine searches a database and lists a list of similar sites. To provide.

8 is an example of a search result screen in which 'audrey hepburn' is entered as a keyword in a Google search site. Referring to FIG. 8, the conventional search site does not classify web sites including a keyword input by a user and sequentially outputs and displays them according to the degree of matching.

However, in the case of outputting the search results without categorizing them, there are many search results, which takes time and effort to find a desired web site or web page. For example, popular actor 'audrey hepburn' was active not only in entertainment but also in social activities such as UNICEF. When searching for 'audrey hepburn' in the conventional search site as shown in FIG. There were a lot of related web pages, so finding the Audrey Hepburn web page related to UNICEF's activities was very time-consuming and very inconvenient.

The present invention has been proposed to solve the above problems, the web site (page) is classified according to a predetermined criterion and stored in accordance with the user's choice to output the search results by group or all the desired site (page It is an object of the present invention to provide a classified web site search system and method that can quickly find the.

In order to achieve the above object, the system of the present invention includes a grouping policy server that defines a group according to a predetermined criterion, and then group into groups for the words used in the web page; A data collection server that collects data by visiting web pages through the Internet; An identifier (ID) allocation server that extracts a word for each web page collected by the data collection server, classifies the web page and assigns an identifier (ID) by comparing the word information defined by the grouping policy server; Receives index information of web pages assigned an identifier (ID) corresponding to a group from the identifier (ID) allocation server and stores it in its own database. When a keyword and a search command are received, the corresponding database is searched for the keyword. A plurality of group search DBs for retrieving web pages matched to the group; And after the user inputs a search keyword and requests a full search, the search is requested by delivering the keyword to all the group search DBs, and when the group search is selected, a search is required only for the group search DB corresponding to the group selected by the user. And receiving a search result from each group search DB and including a main index server for outputting a search result for the entire group or a search result for the selected group.

In addition, in order to achieve the above object, the method of the present invention includes a first step of defining a group according to a predetermined criterion and classifying each word into groups; A second step of obtaining a web page, extracting a word, and classifying the web page into groups by comparing the registered words and assigning identifiers to construct a database for searching by group; And a third step of the user searching the whole or the group using the constructed database.

The first step divides the group into multiple stages, and defines the words by dividing the words into groups, personalities, and importance. The second step extracts the words of the web page, and then divides the words into groups. It finds out how much the web page matches for each group, assigns an ID to each group, and stores the information in the group search DB.

In the third step, the entire search may include receiving a keyword from a user, transferring the keyword to all group search DBs, and searching for the keyword input using each group search DB, and searching for the entire group. Outputting a result; and if the user selects a group from the search results for the entire group, outputting only the search result for the selected group. The group search of the third step includes: When a group search is performed by selecting a specific group, the main index server requests a search by delivering a keyword only to the selected group search DB, and the group search DB searches its own database with the delivered keyword and recalls the search result. It delivers to the main index server and displays only the search results of the group.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram illustrating a categorized website search system in accordance with the present invention, wherein the system utilizes a plurality of web sites (pages) 104 connected through the Internet 102 and a search service. Users 110, and a search server system 120 for providing a search service according to the present invention.

Users 110 are implemented as a personal computer, a laptop computer, a PDA equipped with a web browser, the search server system 120 is a grouping policy server 121, data collection server 122, identifier (ID) assignment server 123, a plurality of group search databases 124-1 to 124 -N, and a main index server 125.

Referring to FIG. 1, the grouping policy server 121 defines a group for classifying web pages in cooperation with linguists, and defines all words used in the web pages. In the case of searching, the word information defined in the identifier (ID) assignment server 123 is provided by defining a new word.

The data collection server 122 visits all web pages on the web via the Internet 102 to collect web page data, and the identifier (ID) assignment server 123 collects each web collected by the data collection server 122. After extracting the word for the page, compare the word information defined by the grouping policy server 121, classify the web page into groups, and assign an identifier (ID) to each group search DB (124-1 ~ 124-N). Save as).

Each group search DB 124-1 to 124-N stores index information of web pages to which an identifier (ID) corresponding to its group is assigned, and keywords and search commands are received from the main index server 125. When the web page matching the keyword is searched in its database, the result is transmitted to the main index server 125. The main index server 125 enters a search keyword after the user 110 connects through the Internet 102 and requests a 'full search (default search)' for all group search DBs 124-1 to 124-N. If you select the 'group search' by passing the corresponding keyword to the group, if you select 'group search', the group search DB ((one of 124-1 ~ 124-N) corresponding to the group selected by the user is requested. Receives the search results from the search DB 124-1 to 124-N and provides the search results for the entire group or the search results for the selected group.

Next, the operation of the website search system according to the present invention configured as described above will be described in detail.

2 is an overall flowchart illustrating a website search procedure according to the present invention.

Web site search procedure according to the present invention is a word classification and registration step (S1) for defining a group by a policy server 121 and classifying words as shown in Figure 2, and for searching according to the present invention Database construction step (S2 ~ S5) to build a database, and search step (S6 ~ S10) that the user searches using the established database.

Referring to FIG. 2, the database building step includes collecting the web pages on the web by the data collection server 122 (S2), and extracting words from the web pages collected by the identifier (ID) assignment server 123. Extracting (S3), analyzing the extracted words, assigning an identifier (ID) to the corresponding web page (S4), and classifying the webpage information assigned with the identifier (ID) by group, and searching for the corresponding group It is made up of steps S5 for storing in the DBs 124-1 to 124-N.

The searching may include: inputting a keyword from a user (S6), searching using the inputted keyword using each of the group search databases 124-1 to 124-N (S7), and the entire group. Outputting (displaying) the search results for the selected group (S8), and outputting the search results for the selected group when the user selects the group (S9, S10).

3 is a flowchart illustrating a detailed procedure of building a search database of a web site according to the present invention.

Referring to FIG. 3, in the group defining step S301, a group for classifying a web site (page) is defined. At this time, the group definition can be defined hierarchically in multiple stages. In the embodiment of the present invention, as shown in Table 1 below, it is divided into a primary group, a secondary group, and a tertiary group.

Primary Group Name Primary group code Secondary group name 2nd group code 3rd group name 3rd group code     game     0001  Go  0001 Trot 001 blues 010 . . . .  theater  0010 A general drama 001 musical 010 . . . . . . . . . . . . . . . .     economy     0010  domestic  0001 stock 001 finance 010 . . . .  International  0010 Oil price 001 OECD 010 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

As shown in Table 1 above, first, classify the code into a primary group name that represents the widest category and assign a code. For each secondary group, classify them into tertiary group names and assign tertiary group codes. For example, when 10 groups (category) are selected as primary groups and 10 secondary and tertiary groups are defined for each group, the total groups may be approximately 1000 groups.

In the word definition step, with the help of linguists for all words that can be used on the web, the relationship between words and groups is defined as shown in Table 2 below.

word group The nature of the word   Relationship importance     Choibulam  game Tellant   90 Country diary   50 . . . .  humor Choibul Cancer Series   30 Portrait photography   10 . . . .  politics member of Congress   50 party   30 . . . . . . . . . .

As shown in Table 2 above, after grouping the group to which the word belongs to the word "Bulbulam", the character of the word is defined, and the relationship between the word "Bulbulam" and "Telant" is defined as importance.

After the definition of the group and the words as described above, in the web page patch step (S303), the data collection server 122 visits each website (page) through the Internet 102 to obtain a web page.

Then, in the word extraction step (S304), the identifier assignment server 123 extracts all the words of the imported web page, and if undefined new words are detected, the grouping policy server 121 requests the word definition to define the words. do.

In the word analysis and identifier (ID) granting step (S305, S306), the extracted words are analyzed and analyzed as shown in Table 3 below to classify the web pages into groups.

Webpage address              Words in each group A group B group C group .... www.edoja.com/index.html 70 times 30 times 10th ....

For example, when a web page called 'Idoza.com' is obtained as shown in Table 3 above, after extracting a word on the webpage of 'Idoza.com', the extracted word is compared with a predefined word, and the group is a word. After determining whether belonging to, and counting the number of words belonging to the group for each group, it is defined as the number of exposures for each group. In the above Table 3, if the word belonging to group A is used 70 times, the word belonging to group B is used 30 times, and the word belonging to group C is used 10 times, the web page 'Idoza.com' has the attributes of group A. You can see the strongest. In addition, in the words classified by group of each web page, the importance given to each word is added and the average is calculated to define the degree of correspondence of the corresponding web page in the group.

After extracting the words of each web page, they are divided into groups to find out how much the web pages match with each group, and an identifier is given to each group. Store at (124-1 ~ 124-N). For example, each group search database 124-1 to 124-N stores a web page address belonging to the group, an identifier (ID), and a matching degree of the web page for the group.

As shown in FIG. 5, the identifier ID may include a serial number C1, a group code C2 to C5, a rank code C6, and an access code C7. C2) and the primary group code C3, the secondary group code C4, and the tertiary group code C5. The primary group codes C3 to tertiary group codes C5 are the same as the group codes defined in the group definition step above. The rank code C6 may indicate a search frequency of the corresponding web page, and the access code C7 may indicate whether the corresponding web page is currently accessible. Therefore, if you know the identifier of the web page, you can know the group and status of the web page.

When the search database for each group 124-1 to 124-N for searching according to the present invention is completed through such a procedure, the user can use the search service according to the present invention.

4 is a flow chart illustrating a procedure for searching a website using a search database classified according to the present invention.

Referring to FIG. 4, the user 110 accesses the main index server 125 which is a search server and inputs a keyword. You can search immediately after entering a keyword, but you can also search within the group after selecting a group. In this way, a group is first designated and then searched only within the group is called a 'group search', and a search for all groups is called a 'full search' (S401).

After entering a keyword and selecting a search, a full search is performed. Accordingly, the main index server 125 transfers the keyword to each group search database 124-1 to 124-N and requests a search (S402 and S403). ). Accordingly, each group search database 124-1 to 124-N searches for the transmitted keyword and then transfers the search result to the main index server 125 (S404 and S405).

Subsequently, the main index server 125 receives the search results from each group search database 124-1 to 124-N and outputs the search results of the entire group as shown in FIG. 6 (S406). Referring to FIG. 6, it can be seen that the entire group is displayed at the top of the screen so that the group can be selected, and below the important websites (pages) are sequentially displayed for each group.

Subsequently, when the user selects a specific group from the entire group result screen as shown in FIG. 6, as shown in FIG. 7, the main index server 125 displays only search results of the corresponding group (S407 and S408). In this case, as described above, the search result web page is sequentially output from the high match web page.

On the other hand, if a user selects a specific group and executes a group search after inputting the keyword, the main index server 125 transfers the keyword only to the selected group search database and requests a search (S411 to S413). Accordingly, the group search database searches its own database with the delivered keyword and then transfers the search results to the main index server 125. Accordingly, the main index server 125 searches the group as shown in FIG. Only the result is displayed (S414, S415).

Thus, when searching for the popular actor Audrey Hepburn, according to the present invention, web pages related to celebrity activities are classified into "celebrity" groups, and Audrey Hepburn's web pages related to UNICEF activities are "social activities" groups. Categorized as, you can find Audrey Hepburn's Web pages related to UNICEF activities quickly by searching social groups.

As described above, according to the present invention, after classifying and storing all web pages into groups according to a predetermined criterion, when a user inputs a keyword and searches, the web pages are output to the sorted groups to search for a web page desired by the user. Make it quick to find. In particular, when a user enters a keyword and selects a group to search, the user searches only in the group and outputs the results so that they can be searched more quickly. Make it easy to find web pages.

Although the above has been described with reference to a preferred embodiment of the present invention, those skilled in the art will be able to variously modify and change the present invention without departing from the spirit and scope of the invention as set forth in the claims below. It will be appreciated.

Claims (8)

A grouping policy server that defines a group in multiple levels according to a predetermined criterion, and classifies the words into groups for words used in a web page; A data collection server that collects data by visiting web pages through the Internet; After extracting a word for each web page collected by the data collection server, the words of the web page are classified into groups by comparing with the word information defined by the grouping policy server, and the web is exposed by the number of times. Classify the groups of pages, calculate the average of the importance given to the words classified by each group, define the correspondence of the web page to the group, and assign the identifier of the web page to each group to search by group. An identifier (ID) assignment server for establishing a database for the server; Receives index information of web pages assigned an identifier (ID) corresponding to a group from the identifier (ID) allocation server and stores it in its own database. When a keyword and a search command are received, the corresponding database is searched for the keyword. A plurality of group search DBs for retrieving web pages matched to the group; And If the user inputs a search keyword and requests a full search, the search is requested by delivering the keyword to all the group search DBs. If the user selects a group search, the search is only required for the group search DB corresponding to the group selected by the user. And a main index server receiving the search results from each group search DB and outputting a search result for the entire group or a search result for the selected group. delete The method of claim 1, wherein the identifier is A classified website search system, comprising a serial number, country code, primary group code, secondary group code, tertiary group code, rank code, and access code. A first step of defining a group in multiple steps according to a predetermined criterion and classifying each word into a group, and then defining and registering the relationship between each word and the group as importance; After importing the web page and extracting words, the words of the corresponding web page are classified by group by comparing with the registered words, and the groups of the corresponding web page are classified by the number of times exposed by each group, By taking the average of the importance given to the words classified by each group, you define the correspondence of the web page to the group. A second step of constructing a database for searching for each group by allocating an identifier of a corresponding web page for each group; And A third step of searching a whole group or searching a group by using the constructed database; The full search of the third stage, Receiving a keyword from the user; Delivering the keyword to all group search DBs and searching for the keyword entered using each group search DB; Outputting search results for the entire group; If the user selects a group from the search results for the entire group, and outputting only the search results for the selected group, The group search of the third step, If a user selects a specific group and executes group search after entering a keyword, the main index server requests a search by passing the keyword only to the selected group search DB, and the group search DB searches its own database with the passed keyword. And then transmitting the search results to the main index server to display only the search results of the corresponding group. delete delete delete delete

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