KR20110011840A - Method and apparatus for automatically recognizing keywords and providing related additional information - Google Patents

Abstract

PURPOSE: An automatic keyword recognizing unit, an automatic keyword recognizing method, a keyword additional information providing unit and a keyword additional information providing method are provided to omit search about document element which is not a text, thereby increasing a search speed. CONSTITUTION: A text reading unit(110) reads a letter string which exists in a web page. A keyword match determining unit(130) extracts an object keyword by performing parsing in the letter string. The keyword match determining unit determines whether a corresponding keyword about the object keyword exists or not. A corresponding keyword storage unit(120) stores at least one corresponding keyword.

Description

Keyword automatic recognition method, keyword automatic recognition method, keyword additional information provider and keyword additional information provision method

The present invention relates to a keyword automatic recognizer, a keyword automatic recognition method, a keyword additional information provider and a keyword additional information providing method, and more specifically, automatically recognizes a specific keyword included in a web page, and adds to the automatically recognized keyword. The present invention relates to a keyword automatic recognizer, an automatic keyword recognition method, a keyword additional information provider, and a keyword additional information providing method for adding information to a user.

Several methods are known in connection with a method of providing additional information for a specific character string in an Internet web page.

1 is a diagram illustrating an example of a technique of providing a search result using a specific string in a web page as a search word.

In the prior art illustrated in FIG. 1, a search result using the string as a search word is output on a new web browser screen for a specific string selected by the creator of the web page (“Hanaro Mart” in FIG. 1). Doing.

To this end, a specific string of the web page includes a hyperlink corresponding to a search result using the string as a keyword in the HTML information.

Using this technique, an internet user using the web page can easily obtain an Internet search result about the string by simply clicking on the search result and a hyperlinked string.

On the other hand, if a specific string is set to a hyperlink to link to a shopping mall site (or a specific product related page in the shopping mall site), the Internet user can be introduced to the shopping mall site (or a specific product related page in the shopping mall site). It can be expected to be effective.

2 is a diagram illustrating another example of a technique of providing a search result using a specific string in a web page as a search word.

In the prior art shown in FIG. 2, unlike the case of FIG. 1 in which a hyperlink is set in advance in a specific character string in a web page, when a user directly sets a block in an arbitrary character string ("large discount point" in FIG. 2), The icon that is connected to the search result page that uses the corresponding string set as a keyword is created.

At this time, the search result page using the character string as a search word is the same as that of the case of FIG.

On the other hand, the prior art of Figure 1 can be added to the additional information, such as hyperlinks to a specific string in the web page only by modifying the content of the web page directly, there is a limitation that the string to which the additional information is provided is already determined .

In addition, even in the related art of FIG. 2, the user may not only automatically search for a desired character string by providing additional information on a character string designated by a user, such as a drag, but also have a limitation. There is also a limitation that only additional information provided for the webpage is provided with additional information (eg, a hyperlink to a search result of the corresponding character string) in the form designated by the author of the webpage.

That is, according to any of the prior arts described above, there is no means for providing an additional information on the string after a person who does not have the authority to modify the contents of the web page automatically searches for the desired string in the web page. .

The present invention was conceived to solve the above problems, and automatically searches for a character string matching a predetermined keyword within an arbitrary web page, and then automatically provides a keyword for providing the Internet user with additional information about the character string. An object of the present invention is to provide a recognizer, an automatic keyword recognition method, a keyword additional information provider, and a keyword additional information provision method.

In order to achieve the above object, the keyword automatic recognizer according to the present invention includes a text reader, a corresponding keyword storage unit, and a keyword matching determination unit, wherein the text reader reads a web page loaded in a web browser of a user computer. Read and transmit the character string existing in the web page to the keyword matching determination unit, and the keyword matching determination unit parses the character string to extract a target keyword and whether there is a corresponding keyword related to the target keyword. The corresponding keyword storage unit stores at least one corresponding keyword and informs whether the corresponding keyword corresponds to the target keyword in response to a request of the keyword matching determination unit.

Also, the automatic keyword recognition method according to another aspect of the present invention is performed in a keyword automatic recognizer including a text reader, a corresponding keyword storage unit, and a keyword matching determination unit, wherein the text reader is a web loaded on a web browser of a user computer. A text reading step of reading a page, reading a character string from a document object model existing in the web page, and delivering the character string to the keyword matching determination unit, and extracting a target keyword by parsing the character string by the keyword matching determination unit; And a keyword matching determination step of determining whether a corresponding keyword for the target keyword exists when the extracted target keyword exists.

In addition, the keyword additional information providing apparatus according to another aspect of the present invention includes a text reader, a corresponding keyword storage unit, a keyword matching determination unit, and an additional information generating unit, wherein the text reader is a web loaded in a web browser of a user computer. Reads a page, reads a character string existing in the web page, and transmits the character string to the keyword matching determination unit. The keyword matching determination unit parses the character string to extract a target keyword, and generates a corresponding keyword related to the target keyword. Is determined, and the corresponding keyword storage unit stores at least one corresponding keyword, and informs the keyword matching determination unit whether the corresponding keyword corresponds to the target keyword, and the additional information generator is configured to correspond to the corresponding keyword. Has the target keyword that matches one of the In this case, the mobile terminal may include a text reader, a corresponding keyword storage unit, a keyword matching determination unit, and an additional information generation unit that generates additional information corresponding to the corresponding keyword, adds the target keyword to the target keyword, and returns to the keyword matching determination unit.

In addition, the method for providing keyword additional information according to another aspect of the present invention is performed by a keyword additional information provider, wherein the text reader reads a web page loaded in a web browser of a user computer, and is present in the web page. A text reading step of reading a character string and transferring the same to the keyword matching determination unit; and extracting a target keyword by parsing the character string by the keyword matching determination unit, and referring to the corresponding keyword storage unit to correspond to the target keyword. When there is a keyword matching determination step of determining whether a keyword exists and the target keyword that matches one of the corresponding keywords, the additional information generation unit generates additional information corresponding to the corresponding keyword and adds it to the target keyword. After the return to the keyword matching determination unit And a beam generating step.

In addition, the computer-readable recording medium storing the keyword additional information providing program according to another aspect of the present invention, the text reading unit reads the web page loaded in the web browser of the user computer, the character string present in the web page A text reading function for reading and transferring the same to the keyword matching determination unit, and extracting a target keyword by parsing the character string by the keyword matching determination unit, and referring to the corresponding keyword storage unit to obtain a corresponding keyword for the target keyword. If there is a keyword matching determination function for determining whether there exists a target keyword that matches one of the corresponding keywords, the additional information generator generates additional information corresponding to the corresponding keyword, and adds the additional information to the target keyword. Additional information returned to the keyword matching determination unit Includes generation function.

Provides means for automatic keyword recognition and additional information providing, such as the Internet toolbar, that enables non-authors of a particular web page to provide additional information to the Internet user as a keyword in any string within the web page. It can work.

In addition, when searching for any keyword in a specific web page, it is possible to improve the search speed by omitting the search for document elements other than text.

Furthermore, according to the present invention, even when a user accesses a general web page, the user can provide a hyperlink to the desired web page after automatically searching for a keyword desired by the provider of the toolbar by simply installing a program such as a toolbar. As a result, any web page can provide additional information for a keyword in the web page to direct traffic of the user to a desired site (eg, shopping, search, etc.) of the toolbar.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. .

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, without excluding other components unless specifically stated otherwise. In addition, the terms “… unit”, “… unit”, “module”, etc. described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. have.

3 is a diagram illustrating an example of a keyword automatic recognizer.

A problem in reading a web page is to distinguish between the character string to be read and the character string to exclude reading in the web page.

HTML documents consist of a hierarchical set of tags.

For example, follow the format shown in Table 1 below.

<html>
<head>
<title> Cat Picture </ title>
</ head>
<body>
<IMG id = "cat_pic" src = "http: // imagepath" border = 0>
<p> This is a pretty cat. </ p>
</ body>
</ html>

For example, if you want to find the string "image" within a particular web page in HTML language, and you search for "tag" as well as the "body content" of the web page, Body "results in the search for" image "contained in the tag <IMG id =" cat_pic "src =" http: // imagepath "border = 0>, even though there are no strings to search for. The problem of obtaining a search result and the increase of time and amount of computation by searching for an unnecessary object occur.

Furthermore, if you want to add a specific hyperlink to the string "image", a bigger problem arises because the hyperlink is attached to the tag rather than the body, thereby destroying the layout of the web page itself.

In the embodiment of FIG. 3, a web page that is a target of keyword automatic recognition utilizes a feature that follows a document object model.

The document object model is one form of object-oriented model for representing structured documents.

If you convert these HTML documents to the document object model, the DOM objects shown in Table 2 are created.

Node Node Node Node type
(Node Type) Attribute HTML



HEAD TITLE TEXT_NODE (value) cat pictures BODY


IMG

IMAGE_NODE

(id) cat_pic (src) http: // imagepath (border) 0 TEXT TEXT_NODE Pretty cat.

Comparing Table 1 and Table 2, the tags of the HTML document correspond to each node of Table 2, and the attributes written in each tag of Table 1 may be expressed in the "Attribute" field of Table 2.

As such, the basic document element of the DOM is called a node, and each node can be located above and below another node, and each attribute is located below the node.

The embodiment of FIG. 3 focuses on the tree structure of the document object model to identify the attributes of the nodes included in the webpage document, and then reads the attributes of the nodes only when the node type is a text node. The basic concept is that only strings can be extracted from the contents of web pages.

3, the keyword automatic recognizer 100 according to the embodiment of FIG. 3 includes a text reader 110, a corresponding keyword storage unit 120, and a keyword matching determination unit 130.

In addition, the keyword automatic recognizer 100 of FIG. 3 may be included in a toolbar program installed in a plug-in form in a web browser of an Internet-capable user PC. Therefore, the provider of the keyword recognizer 100 distributes the keyword recognizer 100 together with the toolbar program, thereby allowing the Internet user to install it on the user's PC, thereby driving the keyword recognizer 100 together with the web browser. Be sure to

The text reading unit 110 reads the document object model of the web page loaded in the web browser of the user computer, reads a character string from the text node existing in the web page, and delivers the string to the keyword matching determination unit 130.

For example, when an event indicating that a particular webpage document is loaded in a web browser occurs, the text reader 110 reads the document object model of the webpage in response to the event.

At this time, as described above with respect to Tables 1 and 2, the text reading unit 110 is a node of each node of the document object model (hereinafter, the node will be referred to as "document element"). Based on the type, only the node whose node type is specified as text is found and the attribute is extracted. At this time, the attribute of the node is represented as text in the web page, and is a target of string recognition. For example, in Table 2, the node type of the text node is expressed as "TEXT_NODE".

The keyword matching determination unit 130 performs parsing on the string transmitted from the text reader 110 to extract a target keyword, and determines whether the extracted target keyword is a keyword to be found.

Parsing is the process of breaking a string of strings into meaningful tokens and creating a parse tree of them.

Since the text string extracted by the text reader 110 is a mixture of various sentence components constituting the character string, for example, nouns and investigations, a parsing operation is required to efficiently extract meaningful target keywords therefrom. Do.

For example, when the strings received from the text reading unit 110 are strings including "apples", "apples", "apples", "apples", etc., these strings are parsed to perform these strings. From this, the target keyword "apple" can be extracted in common.

There are a wide variety of parsing techniques known to date, and various known parsing techniques may be widely applied to the present embodiment without limitation.

After the keyword matching determination unit 130 extracts the target keyword, the keyword matching determination unit 130 determines whether the target keyword is a keyword to be searched by comparing with the corresponding keyword stored and managed in the corresponding keyword storage unit 120.

The corresponding keyword storage unit 120 stores all the keywords that the keyword automatic recognizer 100 wants to find in a specific web page.

The corresponding keyword storage unit 120 may be implemented by constructing a hash table or a database related to the corresponding keyword.

The corresponding keyword storage unit 120 is implemented as a hash table, and the target keywords obtained through the parsing operation from the string extracted by the text reading unit 110 are "apple" and "strawberry", among which the keyword automatic recognizer 100 is used. The case where the keyword to search for is "apple" will be explained continuously.

The keyword matching determination unit 130 first applies a hash function to the "apple", thereby determining whether there is a corresponding keyword (ie, "apple" keyword) related to "apple" in the corresponding keyword storage unit 120. .

Since the "apple" is a keyword to be searched by the keyword automatic recognizer 100, the keyword is recognized in the corresponding keyword storage unit 120. Therefore, the result value of the hash function is "a keyword to be searched by the keyword automatic recognizer 100. Im ", and the keyword matching determination unit 130 determines that the" apple "is a keyword to be found.

According to the result value, the keyword "apple" in the web page is generated through the additional information generation operation described later, and includes additional additional information (e.g., hyperlink address information or related image or text) for the target keyword apple. Pop-up information, etc.) can be generated and returned to the web browser.

Next, the keyword matching determination unit 130 determines whether or not there is a corresponding keyword for "strawberry" in the corresponding keyword storage unit 120 by applying a hash function to "strawberry".

Unlike "apple", "strawberry" is not a keyword that the keyword automatic recognizer 100 is looking for, and therefore, does not exist in the corresponding keyword storage unit 120, and the result value of the hash function is "strawberry". Is not a keyword, "and the keyword matching determination unit 130 determines that" strawberry "is not a keyword to be found.

Accordingly, the "strawberry" is returned to the web browser as it is from the keyword automatic recognizer 100 without any change.

The keyword may be a compound word keyword of two words or more. Currently, various parsing techniques have been developed for extracting compound word keywords. In the embodiment of FIG. 3, various known parsing techniques for extracting compound word keywords may be applied without limitation.

In addition, the keyword matching determination unit 130 determines whether or not the keyword matches with respect to the " current target keyword and immediately preceding target keyword " (two word keyword) or " current target keyword and immediately preceding two target keyword " The compound word keyword can also be automatically recognized.

For example, after determining whether to match keywords related to "apple" and "strawberry", it is further determined whether to match keywords related to "apple strawberry".

The operation of the keyword automatic recognizer is similarly performed even when the corresponding keyword storage unit 120 is implemented as a database.

4 is a flowchart illustrating a keyword automatic recognition method by a keyword automatic recognizer according to the embodiment of FIG. 3.

As shown in FIG. 4, the automatic keyword recognition method includes a text reading step S110 and a keyword matching determining step S120.

In the text reading step (S100), the text reader 110 of the keyword automatic recognizer 100 reads the document element of the document object model, and sets the tag value of the document element whose attribute is text. Recognized as, and transmits the recognized character string to the keyword matching determination unit (130).

The text reading step S110 may be triggered by an event such as a "web page loading completion event" generated in a web browser.

Next, in the keyword matching determination step (S120), the keyword matching determination unit 130 parses the string transmitted from the text reader 110 to extract the target keyword, and the extracted target keyword is a keyword to be found. Determine whether or not.

At this time, the determination of keyword matching is made through comparison with the corresponding keyword stored and managed in the corresponding keyword storage unit 120.

For example, when the corresponding keyword storage unit 120 includes a hash table, it is determined whether the corresponding keyword is a keyword to be searched based on the result of the hash function for the target keyword.

If the target keyword is not the keyword to be searched, the target keyword is returned (returned) to the web browser as it is. If the target keyword is the keyword to be searched, additional information about the target keyword is generated through a separate step. This may be described later.

FIG. 5 is a flowchart illustrating an embodiment of the method of automatically detecting a keyword of FIG. 4. FIG.

5, the substeps S112, S114, S115, S116, and S118 for the text reading step S110 and the substeps S122, S124, S125, S126, and S128 for the keyword matching determination step S120. ) Is further included.

As shown in Fig. 5, in the text reading step S110, the attributes of each document element of the document object model are first read out (S112).

Accordingly, if the attribute of the document element is text, the content of the document element is regarded as a string and transmitted to the keyword matching determination unit (S114, S115).

If the attribute of the document element is not text, it is skipped (S114, S116).

In this manner, the text reading step is completed by transferring the extracted character string to the keyword matching determination unit by sequentially reading the document element attributes for all the document elements in the document object model (S118).

Next, in the keyword matching determination step S120, parsing is performed on the string transmitted from the text reading unit, thereby extracting the target keyword (s) from the string (S122).

The keyword matching determination unit determines whether there is a corresponding keyword with reference to the corresponding keyword storage unit with respect to the extracted target keyword (s) (S124).

If there is a corresponding keyword, the target keyword is classified as a match keyword (S125), and if there is no corresponding keyword, it is classified as a mismatch keyword (S126). After the classification step (S125, S126) may further include the step of returning the target keyword to the web browser.

As described above, the keyword matching determination step may be performed on a compound word keyword, such as a two word keyword or a three word keyword, and the keyword matching determination step is terminated when the determination regarding the existence of the corresponding keyword is performed for all keywords. (S128).

6 is a flowchart illustrating another embodiment of the method for automatically recognizing a keyword of FIG. 4.

The main difference between the embodiment of FIG. 5 and the embodiment of FIG. 6 is that in the embodiment of FIG. 5, text reading and keyword matching are performed based on a specific web page, whereas the embodiment of FIG. Is performed based on keywords.

That is, in the exemplary embodiment of FIG. 6, the keyword is sequentially automatically generated for each target keyword based on a series of procedures until a determination as to whether keyword matching is performed on one target keyword extracted through reading and parsing a character string. Recognition procedure is performed.

In the text reading step S110a of FIG. 6, the text reading unit reads an attribute of the document element in the document object model of the web page (S112a), and if the attribute of the document element is not text, reads the attribute of the next document element. In operation S114a and S116a, when the attribute of the corresponding document element is text, the process of extracting a character string and transferring it to the keyword matching determination unit is similar to the embodiment of FIG. 5.

However, in the embodiment of FIG. 6, only a string in one text document element in the document object model of the web page is transmitted to the keyword matching determining unit (S115a). In the embodiment of FIG. 5, all the text in the document object model of the web page is transmitted. The difference is that the string within the document element is passed.

As such a difference exists, even in the keyword matching determination step (S120a), parsing and target keyword (s) are extracted only for one character string (S122a), and the corresponding keyword existence determination step (S124a) and the keyword classification step accordingly. (S125a, S126a) are performed.

When the keyword matching determination is completed with respect to the character string extracted from one text document element, after the keyword matching determination unit judges whether or not the processing is completed for all the document elements (S128a), and if the unprocessed document element remains, the next document After the element is designated as the processing target (S116a), the process is resumed sequentially from the attribute reading procedure of the document element.

Through this, keyword automatic recognition of the entire document object structure of the web page can be performed.

7 is a diagram illustrating an example of a keyword additional information provider.

When the keyword additional information provider according to the embodiment of FIG. 7 automatically recognizes a keyword in a web page, the keyword additional information provider provides additional information (for example, hypertext link information or pop-up information including related images and / or text) about the keyword. It is a device that provides.

As illustrated in FIG. 7, an example of the keyword additional information provider 200 may include a text reader 210, a corresponding keyword storage unit 230, a keyword matching determination unit 240, and an additional information generation unit 250. It is made to include.

Meanwhile, among the document elements of the keyword additional information provider 200 of FIG. 7, the text reader 210, the corresponding keyword storage unit 230, and the keyword matching determination unit 240 each use the keyword automatic recognizer 100 of FIG. 3. Since the text elements of the document elements 110, the corresponding keyword storage unit 120, and the keyword matching determination unit 130 correspond to each other, a detailed description of the common parts of the functions of the respective document elements 210, 230, and 240 is described. It will be omitted.

In addition, as described above with reference to the keyword automatic recognizer 100 of FIG. 3, when the keyword matching determination unit 240 determines that a corresponding keyword exists in the corresponding keyword storage unit 230 for a specific target keyword, Additional information about the keyword may be generated and returned to the web browser.

To this end, the keyword additional information provider 200 of FIG. 7 further includes an additional information generating unit 250 that generates additional information about each corresponding keyword.

Since the additional information generation unit manages the content and rules of additional information to be generated for each corresponding keyword, when the keyword matching determination unit 240 is requested to generate additional information about a specific corresponding keyword, the additional information is generated accordingly. It generates and returns to the keyword matching determination unit 240.

For example, if the corresponding keyword is a keyword indicating an address of a specific area, and the content of the additional information to be provided is "a hyperlink corresponding to the coordinate on the map of the address in a specific Internet map service", the additional information The generator 250 adds hyperlink information to the " address " received from the keyword matching determiner 240 and then returns to the keyword matching determiner 240. FIG.

The keyword matching determination unit 240, which has received the "target keyword to which the hyperlink has been added" from the additional information generating unit 250, returns the result back to the web browser, and finally, on the window screen of the web browser, the " specific Internet map service " The target keyword is shown in the form of "adding a hyperlink corresponding to the coordinate on the map of the corresponding address of".

This allows a user of a PC to access a particular Internet (designated by the person who distributes the keyword supplementary information provider) by clicking on the target keyword, even though the provider of the web page has not provided additional information about the target keyword. The map service can check the location of the target keyword (address) on the map.

8 is a flowchart illustrating an example of a method for providing keyword additional information by the keyword additional information provider of FIG. 7.

As shown in FIG. 8, the method of providing additional keyword information S200 includes a text reading step S210, a keyword matching determination step S220, and an additional information generating step S230.

As mentioned in FIG. 7, among the respective configuration steps of the method of providing keyword additional information by the keyword additional information provider S200, the text reading step S210 and the keyword matching determination step S220 are each related to a keyword automatic recognition method. Since it corresponds to the text reading step S110 and the keyword matching determining step S120 in the first embodiment or the text reading step S110a and the keyword matching determining step S120a in the second embodiment, the configuration steps S210, S220, Detailed description of the common parts in S230 will be omitted.

Meanwhile, in the additional information generating step (S230), the additional information generating unit 250 generates additional information about the corresponding keyword, and adds the additional information generated to the target keyword regarding the corresponding keyword to match the keyword matching determination unit 240. Will return.

Since the "target keyword with additional information" is returned to the web browser by the keyword matching determination unit 240, the "target keyword with additional information" can be finally output on the web browser of the user PC.

On the other hand, the additional information is not limited to only hyperlinks.

9 is a diagram illustrating another example of additional information provided by a keyword additional information provider.

As illustrated in FIG. 9, the additional information may be expressed in the form of pop-up information that further describes an image and / or text related to the target keyword.

For example, the "large discount point" shaded in FIG. 9 is the corresponding keyword stored in the corresponding keyword storage unit 220, and the content of the additional information provided with respect to the corresponding keyword is the image information 412 and the text regarding the large discount point. The pop-up information 410 including the information 414 may be provided.

As an example, the pop-up information 410 may be implemented as a pop-up window layer displayed near a corresponding target keyword of the same web page.

In the example of FIG. 9, when the keyword matching determination unit 240 requests the additional information generation unit 250 to generate additional information, the additional information generation unit 250 may perform image information 412 and text information on the corresponding keyword. After generating the pop-up information 410 to include 414, the target keyword to which the additional information for outputting the pop-up information is added is returned to the keyword matching determination unit 240. Subsequently, when the keyword matching determination unit 240 returns this to the web browser, the user can finally confirm the additional information 410 outputted as a popup for the corresponding keyword (“large discount point”).

For example, the additional information 410 may be displayed in one layer on a web browser, and an event in which the mouse pointer 400 is placed on the keyword is detected based on a condition in which the additional information 410 is expressed. Yes it is possible.

Of course, the pop-up information 410 may be displayed by a method other than the layer, and the expression condition of the additional information may be applied to various conditions other than the above event detection.

Furthermore, it is apparent that the hyperlink information as described above may be further added to the related image 412, the text 414, or the like in the pop-up information 410 area or the pop-up information 410 area.

10 is a view showing another embodiment of a keyword additional information provider.

The keyword additional information provider according to the exemplary embodiment of FIG. 10 may include a text reader 210, a corresponding keyword storage unit 230, a keyword matching determination unit 240, an additional information generation unit 250a, and an additional information storage unit 260. )

The difference between FIG. 7 and FIG. 10 is that the keyword additional information provider according to the embodiment of FIG. 10 further includes an additional information storage.

The additional information generating units 250 and 250a may further require not only a generation rule of additional information generated with respect to the corresponding keyword, but also additional information itself.

For example, in the process of generating additional information such as the pop-up information 410 of FIG. 9, the pop-up information 410 is received by receiving the image information 412 or the text information 414 from an external PC or server connected to the Internet. You can also create

However, depending on the situation, image information 412 or text information 414 may need to be stored in the user's PC. This can be caused by various factors such as the processing speed of generating additional information or the connection status of the Internet.

Since the keyword additional information provider may be provided as a part of a toolbar program installed in the user PC, in this case, the additional information storage unit 260 is installed together at the time of installation of the toolbar program, and then the additional information storage unit is installed from an external PC or server. In operation 260, additional information to be mortgaged may be downloaded and stored.

Meanwhile, all the corresponding keywords in the corresponding keyword storage unit 230, the additional information generating units 250 and 250a, and the additional information storage unit 260 and the conditions and contents of the additional information related to the corresponding keywords need to be constantly updated. There is.

To this end, although not represented in the drawing, the keyword additional information provider may further include an update unit.

In response to a request from an external server that the updater interacts with the keyword additional information provider, the contents of the corresponding keyword storage unit 230, the additional information generation unit 250, 250a, and the additional information storage unit 260 are displayed. By downloading or changing from an external server, the keyword additional information provider can be always updated to the latest state.

The embodiments of the present invention described above are not only implemented by the apparatus and method but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded, The embodiments can be easily implemented by those skilled in the art from the description of the embodiments described above.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

1 is a diagram illustrating an example of a technique of providing a search result using a specific string in a web page as a search word.

2 is a diagram illustrating another example of a technique of providing a search result using a specific string in a web page as a search word;

3 is a view showing an example of a keyword automatic recognizer;

4 is a flowchart illustrating a keyword automatic recognition method by a keyword automatic recognizer according to the embodiment of FIG. 3;

FIG. 5 is a flowchart illustrating an embodiment of the method for automatically recognizing a keyword of FIG. 4; FIG.

6 is a flowchart illustrating another embodiment of the method for automatically recognizing a keyword of FIG. 4 in more detail.

7 is a diagram illustrating an example of a keyword additional information provider;

8 is a flowchart illustrating an example of a method for providing keyword additional information by the keyword additional information provider of FIG. 7;

9 is a diagram of another example of additional information provided by a keyword additional information provider;

10 is a view showing another embodiment of a keyword additional information provider.

Claims (18)

A text reader, a corresponding keyword storage unit, and a keyword matching determination unit, The text reader reads a web page loaded in a web browser of a user computer, reads a character string existing in the web page, and delivers the string to the keyword matching determination unit. The keyword matching determination unit parses the string to extract a target keyword, and determines whether a corresponding keyword related to the target keyword exists. And the corresponding keyword storing unit stores at least one corresponding keyword and informs whether the corresponding keyword corresponds to the target keyword in response to a request of the keyword matching determining unit. The method of claim 1, And the text reader, for at least one document element in the document object model of the web page, when the type of the document element is text, recognizes an attribute of the document element as the character string. The method of claim 1, The corresponding keyword storage unit further comprises a hash table. A keyword automatic recognition method of a keyword automatic recognizer including a text reader, a corresponding keyword storage unit, and a keyword matching determination unit, A text reading step of reading the web page loaded in the web browser of the user computer, reading the character string from the document object model existing in the web page, and transferring the text page to the keyword matching determining unit; And a keyword matching determination step of determining, by the keyword matching determination unit, parsing the string to extract a target keyword, and determining whether a corresponding keyword related to the target keyword exists if the extracted target keyword exists. . The method of claim 4, wherein In the text reading step, the text reader automatically recognizes an attribute of the document element as the character string when at least one document element in the document object model of the web page is text. Recognition method. The method of claim 5, And in the text reading step, the text reading unit reads the next type of document element when the type of the document element is not text. The method of claim 4, wherein And the text reading step is activated by a loading completion event of a web browser loading the web page. The method of claim 4, wherein And after the keyword matching determination step, returning the target keyword to the web browser loading the web page by the keyword matching determination unit. A text reading unit, a corresponding keyword storing unit, a keyword matching determining unit, and an additional information generating unit, The text reader reads a web page loaded in a web browser of a user computer, reads a character string existing in the web page, and delivers the string to the keyword matching determination unit. The keyword matching determination unit parses the string to extract a target keyword, determines whether a corresponding keyword related to the target keyword exists, The corresponding keyword storage unit stores at least one corresponding keyword, and informs the keyword matching determination unit whether the corresponding keyword corresponds to the target keyword, If there is the target keyword that matches one of the corresponding keywords, the additional information generator generates additional information corresponding to the corresponding keyword, adds it to the target keyword, and returns to the keyword matching determination unit. . 10. The method of claim 9, And the additional information is hyperlink information specified with respect to the corresponding keyword, and the additional information generator generates the hyperlink in the target keyword corresponding to the corresponding keyword. 10. The method of claim 9, And the additional information includes at least one of image information and text information corresponding to the corresponding keyword. 10. The method of claim 9, And an updater configured to communicate with an external terminal or server to update the corresponding keyword storage, the keyword matching determination unit, and the additional information generation unit with the latest information. The method of claim 10, The keyword additional information provider further comprising an additional information storage unit for storing and managing the additional information. A keyword additional information providing method by a keyword additional information provider including a text reader, a corresponding keyword storage unit, a keyword matching determination unit, and additional information generation unit, A text reading step of reading the web page loaded in the web browser of the user's computer, reading the character string existing in the web page, and passing it to the keyword matching determining unit; A keyword matching determination step of parsing the string by the keyword matching determination unit, extracting a target keyword, and determining whether a corresponding keyword related to the target keyword exists by referring to the corresponding keyword storage unit; If there is the target keyword that matches one of the corresponding keywords, the additional information generating unit generates additional information corresponding to the corresponding keyword, adds the additional information to the target keyword, and returns to the keyword matching determination unit. Keyword additional information providing method comprising. The method of claim 14, And in the additional information generating step, the additional information is a hyperlink generated by the additional information generator with respect to the corresponding keyword. The method of claim 14, And in the additional information generating step, the additional information is a pop-up window generated by the additional information generating unit including at least one of image information and text information corresponding to the corresponding keyword. The method of claim 14, The keyword additional information provider further includes an additional information storage unit for storing and managing the image information and the text information. In the additional information generating step, the additional information generating unit generates the pop-up window including at least one of the image information and the text information with reference to the additional information storage unit. A text reading function that reads a web page loaded in a web browser of a user's computer, reads a text string present in the web page, and transfers it to the keyword matching determining unit; A keyword matching determination function for parsing the string to extract a target keyword, and referring to the corresponding keyword storage unit to determine whether a corresponding keyword for the target keyword exists; If there is the target keyword that matches one of the corresponding keywords, the additional information generating unit generates additional information corresponding to the corresponding keyword, adds the additional information to the target keyword, and returns to the keyword matching determination unit. A computer readable recording medium having stored therein a keyword additional information providing program.

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