KR100546074B1 - A stone tender search system - Google Patents

Abstract

The present invention relates to a stone bid search system, and more particularly, by weighting each key word by a pre-registered key word dictionary, so that a user can easily search for stone bid related information desired by the user. It relates to a stone bid search system that automatically sends to the user at a predetermined time through the SMS service.

Stone bidding search system according to the present invention for achieving the above object,

In the automatic search system operating on the web,

A site table database 125 for storing and managing information on a login name, a password, an address, and weights according to importance of a site related to a stone bid;

A table loading unit (120) for loading information from the site table database into a memory;

A site search unit (105) for searching a site in a table loaded in a memory by the table loading unit;

A web document collecting unit 110 for collecting web documents of a site searched by the site searching unit;

An unclassified web document database 130 for storing the collected web documents;

A main word input unit 165 capable of giving weights according to the key words related to the stone and the importance of each word;

A main word database 170 for storing the main word inputted through the main word input unit and weights according to the importance of each main word;

A main wording unit 175 for loading a main word into a memory from the main word database;

A site recommendation unit 115 which always searches for a site including the main word and recommends a site exceeding a defined value;

A web document word extracting unit 135 for extracting a main word for each web document from the unclassified web document database;

A site weighting unit 145 for assigning site weighting values for each word according to a web document of a site created by the web document word extracting unit;

A main word weighting unit (150) for assigning weights according to the main words for each word of the web document created by the web document word extracting unit;

A frequency weighting unit (160) for assigning a weight according to the number of times of the words written in the web document word extracting unit according to the number of times shown in the web document;

A tag weighting unit 155 for analyzing a tag existing in the web document for each word written by the web document word extracting unit and assigning a weight according to the importance of the tag;

A weight calculator 180 for calculating weights for each web document by weights given by the site weighting unit, the main word weighting unit, the frequency weighting unit, and the tag weighting unit;

A category setting unit 185 for setting a category according to the result of the weight calculating unit and storing the category in a classification web document database;

A classification web document database 200 for storing web documents classified from the category setting unit;

A search result presentation unit 190 for presenting a stone-related site and a web document corresponding to a search word input by a user from the classified classification web document database;

A user input unit 195 for inputting a word related to stone desired by a user;

A time option database 205 for storing a time set by the user, a search word related to stone, and user related information for delivering an SMS message to the user;

A time trigger unit 210 for generating an event to provide a corresponding service to a user at a time set by the user;

An option reading unit 215 for loading stone-related search words and user-related information into a memory in the time option database;

An SMS generating unit 220 for extracting web document information related to the corresponding search word from the classified web document database classified according to the option reading unit to create an SMS message;

And an SMS transmission unit 225 for transmitting the SMS message of the SMS generation unit.

According to the present invention, a user extracts a key word by a tag and a sentence on a web document by morphological analysis, and includes a word having a high weight by referring to a key word extraction and weights given by a key word dictionary registered by an administrator in advance. By showing the web document from the web document that contains the word with a small weight to the user, the user can search for the stone-related information that he / she wants more quickly, and the result of the stone-related information that the user wants through the SMS service. It is to provide convenience and efficiency to users by providing a means to check the desired information faster by automatically sending the user at a fixed time.

Stone, bidding, web search, key words, weights.

Description

Stone Tender Search System {a Stone Tender Search System}             

1 is an overall configuration diagram of a stone bid search system according to a preferred embodiment of the present invention.

Figure 2 is an exemplary view showing a site table of the stone bid search system according to a preferred embodiment of the present invention.

Figure 3 is an exemplary view showing a list of key words of the stone bid search system according to a preferred embodiment of the present invention.

Explanation of symbols on the main parts of the drawings

100: stone bid search system 105: site search unit

110: Web document collection section 115: Site recommendation section

120: table loading unit 125: site table database

130: Unclassified web document database 135: Web document word extraction unit

145: site weighted or not 150: key word weighted or not

155: tag weighting 160: frequency weighting

165: main word input unit 170: main word database

175: main wording unit 180: weight calculation unit

185: category setting unit 190: search result presentation unit

195: user input unit 200: classification web document database

205: time option database 210: time trigger rejection

215: Option reading unit 220: SMS generation unit

225: SMS transmission unit

The present invention relates to a stone bid search system, and more particularly, by weighting each key word by a pre-registered key word dictionary, so that a user can easily search for stone bid related information desired by the user. It relates to a stone bid search system that automatically sends to the user at a predetermined time through the SMS service.

In general, the search system is for users to find information about a given problem. Recently, various search systems have been developed that can provide web documents provided by information providers using the Internet with almost no time and space constraints. It is.

Search system is a system that collects all the information scattered on the Internet in advance and stores it systematically so that users can find the information they want from time to time. will be.

Therefore, the database is very large by automatically collecting a large amount of information.

Here, the web document is a file expressed in HTML (Hypertext Markup Language) or the like, which contains a description of where the image or multimedia files displayed with the text and the text are located. In other words, a web document is a hypertext organized so that it can be moved to the relevant side according to the user's choice, and provides a link that selectively links from one word, picture, or information object in the document to another file. .

In general, the search system can be divided into three parts. The web document is read from a server that stores each web document, including the homepage of the website to be searched, and the other web documents are read using a hypertext link on each web document. It is a robot agent that reads, an indexing program that creates a huge index for the web documents read by the robot agent, and a search program that compares the contents of the index according to the user's search request and provides the search results to the user.

Search engines, along with search engines, categorize directories by subject and index the directory, allowing users to search within the directory or search the classified directory itself to find the desired web document.

That is, the user of the search system inputs several words and directories or web document search marks about the desired information as a search condition until the desired document is obtained, and the search system searches for and displays related directories and / or web documents. Repeat until you find the web document you want. Alternatively, the designated web directory can be searched to view subdirectories or web documents and searched again to obtain desired web documents.

However, the search results provided to the user by the conventional search system list the web documents irrespective of the subject and show processing results based on a non-meaning form, and the directory search results show the results by subject, but the directory is not generated.

It is not an automatic process, but a manual registration by a human hand, so it does not reflect the characteristics of a large amount of web documents and frequently changing webs.

As described above, in order to find information desired by a user in a conventional search system, it takes more effort and time than in a summarized result to find information desired by the user without searching the subject.

Therefore, the present invention has been made to solve the above problems.

From the web document that contains the words with high weights by referring to the weights given by the key word extraction and the key word dictionary registered by the administrator in advance by performing the main word extraction by the tag and the sentence on the web document. By showing the web document including the word with a small weight to the user, the purpose is to enable the user to search the stone-related information you want faster.                         

Another object of the present invention is to enable the user to determine the desired information more quickly by automatically sending the result for the stone-related information desired by the user at a predetermined time.

In the present specification, as well as the preferred embodiment, further objects and effects will be more clearly understood through the following detailed description of the invention and the description of the embodiments with reference to the accompanying drawings.

Stone bidding search system according to the present invention for achieving the above object,

In the automatic search system operating on the web,

A site table database 125 for storing and managing information on a login name, a password, an address, and weights according to importance of a site related to a stone bid;

A table loading unit (120) for loading information from the site table database into a memory;

A site search unit (105) for searching a site in a table loaded in a memory by the table loading unit;

A web document collecting unit 110 for collecting web documents of a site searched by the site searching unit;

An unclassified web document database 130 for storing the collected web documents;

A main word input unit 165 capable of giving weights according to the key words related to the stone and the importance of each word;

A main word database 170 for storing main words inputted through the main word input unit and weights according to the importance of each main word;

A main wording unit 175 for loading a main word into a memory from the main word database;

A site recommendation unit 115 which always searches for a site including the main word and recommends a site exceeding a defined value;

A web document word extracting unit 135 for extracting a main word for each web document from the unclassified web document database;

A site weighting unit 145 for assigning site weighting values for each word according to a web document of a site created by the web document word extracting unit;

A main word weighting unit (150) for assigning weights according to the main words for each word of the web document created by the web document word extracting unit;

A frequency weighting unit (160) for assigning a weight according to the number of times of the words written in the web document word extracting unit according to the number of times shown in the web document;

A tag weighting unit 155 for analyzing a tag existing in the web document for each word written by the web document word extracting unit and assigning a weight according to the importance of the tag;

A weight calculator 180 for calculating weights for each web document by weights given by the site weighting unit, the main word weighting unit, the frequency weighting unit, and the tag weighting unit;

A category setting unit 185 for setting a category according to the result of the weight calculating unit and storing the category in a classification web document database;

A classification web document database 200 for storing web documents classified from the category setting unit;

A search result presentation unit 190 for presenting a stone-related site and a web document corresponding to a search word input by a user from the classified classification web document database;

A user input unit 195 for inputting a word related to stone desired by a user;

A time option database 205 for storing a time set by the user, a search word related to stone, and user related information for delivering an SMS message to the user;

A time trigger unit 210 for generating an event to provide a corresponding service to a user at a time set by the user;

An option reading unit 215 for loading stone-related search words and user-related information into a memory in the time option database;

An SMS generating unit 220 for extracting web document information related to the corresponding search word from the classified web document database classified according to the option reading unit to create an SMS message;

And an SMS transmission unit 225 for transmitting the SMS message of the SMS generation unit.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the stone bid search system of the present invention.

1 is an overall configuration diagram of a stone bid search system according to a preferred embodiment of the present invention.

As shown in Figure 1, the stone bid search system according to the present invention,

In the automatic search system operating on the web,

A site table database 125 for storing and managing information on a login name, a password, an address, and weights according to importance of a site related to a stone bid;

A table loading unit (120) for loading information from the site table database into a memory;

A site search unit (105) for searching a site in a table loaded in a memory by the table loading unit;

A web document collecting unit 110 for collecting web documents of a site searched by the site searching unit;

An unclassified web document database 130 for storing the collected web documents;

A main word input unit 165 capable of giving weights according to the key words related to the stone and the importance of each word;

A main word database 170 for storing main words inputted through the main word input unit and weights according to the importance of each main word;

A main wording unit 175 for loading a main word into a memory from the main word database;

A site recommendation unit 115 for always searching a site including the main word and recommending a site exceeding a defined value;

A web document word extracting unit 135 for extracting a main word for each web document from the unclassified web document database;

A site weighting unit 145 for assigning site weighting values for each word according to a web document of a site created by the web document word extracting unit;

A main word weighting unit (150) for assigning weights according to the main words for each word of the web document created by the web document word extracting unit;

A frequency weighting unit (160) for assigning a weight according to the number of times of the words written in the web document word extracting unit according to the number of times shown in the web document;

A tag weighting unit 155 for analyzing a tag existing in the web document for each word written by the web document word extracting unit and assigning a weight according to the importance of the tag;

A weight calculator 180 for calculating weights for each web document by weights given by the site weighting unit, the main word weighting unit, the frequency weighting unit, and the tag weighting unit;

A category setting unit 185 for setting a category according to the result of the weight calculating unit and storing the category in a classification web document database;

A classification web document database 200 for storing web documents classified from the category setting unit;

A search result presentation unit 190 for presenting a stone-related site and a web document corresponding to a search word input by a user from the classified classification web document database;

A user input unit 195 for inputting a word related to stone desired by a user;

A time option database 205 for storing a time set by the user, a search word related to stone, and user related information for delivering an SMS message to the user;

A time trigger unit 210 for generating an event to provide a corresponding service to a user at a time set by the user;

An option reading unit 215 for loading stone-related search words and user-related information into a memory in the time option database;

An SMS generating unit 220 for extracting web document information related to the corresponding search word from the classified web document database classified according to the option reading unit to create an SMS message;

And an SMS transmission unit 225 for transmitting the SMS message of the SMS generation unit.

The administrator assigns weights to the site table database 125 through the table loading unit 120 according to the address and login name and password of the site related to the stone and stone bidding, and the importance of the site.

For example, a PPS site can create a site table with an address of www.jodal.go.kr, a login name of stonebid, a password of bid2005, and a weight of 85.

The weight of the site is to determine the weight of all documents collected at the PPS site.

An example of a site table is shown in FIG.

The site search unit 105 searches for a site existing in the site table, and if a login name and password are required, the site search unit 105 logs in as specified in the site table.

The site search unit 105 accesses the site and collects the web documents of the site through the web document collection unit 110 and stores them in the unclassified web document database 130.

For example, the site search unit 105 accesses the PPS site and collects all web documents in the PPS site by the web document collection unit 110.

In this way, the web documents of all sites on the site table registered by the administrator are collected.

On the other hand, the administrator is to register the key words related to the stone as a list, through the key word input unit 165 that can be weighted according to the key words related to the stone and the importance of each word.

Key words related to stone are words related to stone and stone bidding, for example,

Stones, bidding, mining, mining, aggregate, granite, landscaping, etc. are weighted words, such information is stored in the key word database 170.

The weight is an element that determines the priority when presenting a search result for each web document or site.

An example of such a key word database 170 is shown in FIG.

The main word database 170 is loaded into the memory by the main wording unit 175. Through the loaded information, the site recommendation unit 115 searches for a web document and a site including the main word on the Internet. Only sites that exceed a certain level are recommended to be registered by the administrator in the site table.

In addition, by searching the web document and the site containing the main words of the URL collected through the web document collection unit 110 may be automatically registered in the site table only for a site that exceeds a certain level.

For example, a site that is not on the site table above has an address of www.goljae.co.kr, and the web document of the site contains words such as mining, mining, and basalt. Since the weight, the weight of the word mining, and the weight of the basalt add up to about 250, a list is recommended to the administrator for registration.

Of course, the administrator will pre-determine the above numbers, for example, you will need to pre-set options to only recommend sites of 250 or more.

Meanwhile, the web document word extracting unit 135 extracts a word existing in each web document from the unclassified web document database 130 based on the words registered in the main word database 170.

For example, suppose you have a web document with the URL www.goljae.co.kr/stone/price.html, and the content is "<td>

<table width = "100%" border = "0" cellspacing = "0" cellpadding = "0" align = "center">

<tr>

<td width = "6%">

<div align = "center"> <img src = "main_img / m_notic_dot.gif" width = "6" height = "6"> </ div>

</ td>

<td width = "94%" height = "23">

<div align = "left"> <a href="javascript:jf_mainView('133', '54')"> Obsolete registration for mining drilling

&lt; 2004-12-15 &gt; </a> </ div>

</ td>

      <b> Bidding </ b>

<b> Granite </ b>

      </ tr>

</ table>

</ td>

"

This web document is able to extract the word 'mine', 'bid' and the word 'registration' and 'granite' based on the main word database 170.

The weight of the web document, that is, www.goljae.co.kr/stone/price.html is calculated as follows.

The words 'mine', 'bid', 'registration' and 'granite' are extracted by the web document word extracting unit 135, and the importance of the site to which the web document belongs can be known through the site table. For example, if the weight based on importance is 60, the score based on the importance of the web document may be considered as weight 60.

This function is performed by the site weighting unit 145.

In the key word weighting unit 150, the weights of the words in the web document are further added based on the key word database 170. According to the above example, the word weight of 'mining' is 40 and the 'bid' If the word weight is 50, the word weight of 'register' is 45 and the word weight of 'granite' is 70, the weight of the web document is calculated accordingly.

Frequency weighting unit 160 is weighted according to the frequency of each word in the web document, that is, the word 'bid' is to double the word weight because the frequency is twice.

The tag weighting unit 155 analyzes the tag of the web document and weights the word in the important tag among the tags. For example, the weights of the words in <b> and </ b> indicating bold in the web document are further weighted. In other words, assuming that the weight is given twice about the word, the weight is about twice the weight on 'bid' and 'granite'.

The weights of the web documents are calculated by comprehensively calculating the weights in the weight calculator 180.

Based on the above-mentioned web document, the web document has a site weight of 60, each word has a weight of 'mining' of 40, a 'bid' of 50 or twice, so the weight is 100, and an important tag. Since it is inside, 50 is added to 150.

Since the word weight of 'Registration' is 45 and the word weight of 'Granite' is 70, 'Granite' is also an important tag, so it is calculated as 140.

Accordingly, the score according to the importance of the web document is 435, which is a sum of 60 + 40 + 150 + 45 + 140.

The category of the web document is set by the category setting unit 185. For example, the category of the web document belongs to the category of 'bidding', which is the highest weight word. It becomes the high word 'granite'.

The category setting unit 185 indexes and stores the contents of the unclassified web document database 130 in the classified web document database 200 based on the classified criteria.

The user input unit 195 provides a user search box function.

When the user inputs the search result presentation unit 190, the classification web document database 200 searches for the results in the order of the highest weight.

For example, if a user enters the word "stone" in the search box, a web document or site with a category of stone is presented, and the order of presentation is the web document with the highest weight score or a site order that is a collection of such web documents. It will be presented as it is.

The user can set the time option database 205 to search for words, time, number of titles to be received, and the like.

For example, the time option database 205, which stores the time set by the user and the stone related search word and user related information to deliver the SMS message to the user, for example, the user searches for 'bid' in the stone bid search system of the present invention. Takes a word and stores the information for transmission to 010-4522-5959 at 4 pm every day.

According to the above example, the time trigger unit 210 generating an event to provide a corresponding service to the user at the time set by the user activates the option reading unit 215 at 4 pm every day.

In the time option database 205, the option reading unit 215 for loading stone related search terms and user related information into a memory is executed by the time trigger unit 210, for example, at 4 pm every day. Will tell you to search with the term "bid."

According to the option of the option reading unit 215, the SMS generation unit 220 for extracting the web document information related to the search word from the classification web document database 200 to create an SMS message in the classification web document database 200 The search results are extracted using the search term 'bid' and processed into SMS messages.

The SMS transmission unit 225 for transmitting the SMS message of the SMS generator 220 is processed into a message of a size appropriate to the user's terminal and transmitted.

For example, the Public Procurement Service, Stone Bidding on January 30, 2005 at 11:00, will be sent to 010-4522-5959 at 4 pm.

By the above configuration, it is possible to automatically update the user's continuous search of words continuously to broaden the search range of the main site, and to search the key words by category to provide the desired search more quickly. It becomes possible.

Although the present invention has been disclosed for purposes of illustration and description, it is not intended to be limited to the form of the foregoing embodiment. Those skilled in the art will appreciate that many variations and modifications are possible. While the present invention has been selected and disclosed with respect to the preferred embodiments described above in order to illustrate the best principles of the invention, those skilled in the art will recognize that various modifications and changes can be made without departing from the spirit and scope of the invention. .

As described above, the stone bid search system according to the present invention,

From the web document that contains the words with high weights by referring to the weights given by the key word extraction and the key word dictionary registered by the administrator in advance by analyzing the main word extraction by the tag and the sentence on the web document. By showing web documents that contain words with small weights, users can search for stone-related information that they want more quickly, and the results of stone-related information that users want can be delivered to users through SMS services. It is to provide convenience and efficiency to users by providing a means to check the desired information faster by sending automatically.

Although a preferred embodiment of the present invention has been described in detail above, those skilled in the art to which the present invention pertains may make various changes without departing from the spirit and scope of the invention as defined in the appended claims. It will be appreciated that modifications or variations may be made. Therefore, changes of the embodiments of the present invention will not be able to escape the technology of the present invention.

Claims (3)

In the automatic search system operating on the web, A site table database 125 for storing and managing information on a login name, a password, an address, and weights according to importance of a site related to a stone bid; A table loading unit (120) for loading information from the site table database into a memory; A site search unit (105) for searching a site in a table loaded in a memory by the table loading unit; A web document collecting unit 110 for collecting web documents of a site searched by the site searching unit; An unclassified web document database 130 for storing the collected web documents; A main word input unit 165 capable of giving weights according to the key words related to the stone and the importance of each word; A main word database 170 for storing main words inputted through the main word input unit and weights according to the importance of each main word; A main wording unit 175 for loading a main word into a memory from the main word database; Always search the site containing the above key words and recommend a site that exceeds the defined number, and search the web document and the site containing the main word among the URLs collected through the web document collecting unit 110 A site recommendation unit 115 that automatically registers a site table only with a predetermined level exceeding a predetermined level by an administrator; A web document word extracting unit 135 for extracting a main word for each web document from the unclassified web document database; A site weighting unit 145 for assigning site weighting values for each word according to a web document of a site created by the web document word extracting unit; A main word weighting unit (150) for assigning weights according to the main words for each word of the web document created by the web document word extracting unit; A frequency weighting unit (160) for assigning a weight according to the number of times of the words written in the web document word extracting unit according to the number of times shown in the web document; A tag weighting unit 155 for analyzing a tag existing in the web document for each word written by the web document word extracting unit and assigning a weight according to the importance of the tag; A weight calculator 180 for calculating weights for each web document by weights given by the site weighting unit, the main word weighting unit, the frequency weighting unit, and the tag weighting unit; A category setting unit 185 for setting a category according to the result of the weight calculator and indexing and storing the contents of the unclassified web document database 130 in the classified web document database 200 according to the classified criteria; A classification web document database 200 for storing web documents classified from the category setting unit; A search result presentation unit 190 for presenting a stone-related site and a web document corresponding to a search word input by a user from the classified classification web document database; A user input unit 195 for inputting a word related to stone desired by a user; A time option database 205 for storing a time set by the user, a search word related to stone, and user related information for delivering an SMS message to the user; A time trigger unit 210 for generating an event to provide a corresponding service to a user at a time set by the user; An option reading unit 215 for loading stone-related search words and user-related information into a memory in the time option database; An SMS generating unit 220 for extracting web document information related to the corresponding search word from the classified web document database classified according to the option reading unit to create an SMS message; Stone transmission system search, characterized in that it comprises a; SMS transmission unit for transmitting the SMS message of the SMS generating unit (225). delete delete

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