KR20020006223A - Automatic Indexing Robot System And A Method - Google Patents

Abstract

PURPOSE: An automatic index robot system and a processing method using the system are provided to index text data or image as a text or word processor data, a representative screen of a video, and data for progressing graphic data as an image automatically. CONSTITUTION: A server(10) stores information, a keyword, or an image index as an XML document, a WPS data, an image scan, a moving picture data, and a photographing etc. A robot PC(20) searches information stored in the server(10) through a keyword search or a document recognizing device or extracts a vector image data. Processes are described as follows. A character data type is automatically indexed in accordance with data stored in the server(10). The original image scanned in accordance with data stored in the server(10) is automatically indexed. A photograph image is automatically indexed in accordance with data stored in the server(10).

Description

Automatic Indexing Robot System And A Method}

The present invention relates to an index created by a search engine in a structure in which a document can be easily searched when searching a website on the Internet. More specifically, the present invention relates to textual data such as text or word processor data, images, and videos. The present invention relates to an automatic indexing robot system and a method of processing using the same, which automatically index data representing a representative screen and graphic data of an image.

In general, information retrieval has been accepted as a task of organizing information about books in a library or searching an index book created by a group of experts.

At this time, since important information is usually written in a document, a method of requesting a person in charge of a document was mainly used to use the constructed information.

However, as computers become more powerful and less expensive, the content of information has moved from documents to computers, and search methods have been replaced by specialists.

In particular, the emergence of search software played a leading role in causing the information revolution.

The exponential growth of information has made it possible to find information much more quickly and accurately than in the past, and with the spread of the Internet, it is now into the real world as well as the specialty.

In other words, we have reached the age when we can easily access various and vast amounts of information that were not easily accessible in the past.

Therefore, the performance of the information retrieval system depends entirely on the accuracy and speed, and the role of the index as a search word is very important to increase the accuracy of the search.

The Korean index targets the characters that appear in Korean documents. The main characters are Hangul, but it is also recommended to work with foreign language characters because alphabets, Chinese characters, numbers, and many other symbolic characters are used.

In order to do this, in the morphological analysis step, the character states are separated and morphologically analyzed, and the index word is extracted through an automatic indexing system.

In addition, in the index word extraction process, irregular terms are restored and converted into a basic form, and the extracted index word must be processed for stopwords and compound noun expansion during registration.

Meanwhile, information retrieval is simply a process of finding information desired by a user, and various techniques are used to increase the accuracy of such retrieval.

Among them, the reverse file technique suitable for a large number of unstructured documents is widely used. Since the reverse file technique basically depends on the index word, the index word method determines the overall search performance.

The index word generation method is divided into a manual manual indexing method and an automatic indexing method based on a morphological analysis principle. The automatic indexing method analyzes the morphemes using a computer and extracts the index words using the results.

The Korean automatic indexing system extracts index words from documents produced on the basis of Korean. First, after analyzing the morphemes by using the morpheme analysis system, the index words are finally extracted by removing the stopwords that are not suitable for the index words.

Here, Korean includes alphabets, numerals, Chinese characters, Japanese, Greek, Russian, and other symbolic characters, as well as Korean characters, and Korean has the characteristics of deadlocks in terms of language classification. It is difficult, so it must go through a separate process.

In this case, the separate processing refers to morphological analysis, which may be said to be the most important role in the automatic index.

Characters processed in Korean morphological analysis are analyzed not only for Korean characters, but also for foreign characters such as English letters, Japanese characters, and Russian characters.

Here, the index is used to help search for information, which is organized according to a specific principle or purpose.

In other words, it is a medium that connects searchers and information.

Therefore, the index basically has a sorting function (distinguish from others) and a pointing function (pointing to the original information).

There are various types of indexes, which can be divided into topic indexes and non-topic indexes. The topic index is an index that selects an element that points to a topic from an information source, and a non-topic index is an index that selects elements not related to a topic. will be.

First, take a closer look at the non-topic index, because there is no difficulty in indexing because the non-topic index is a collection of simple data such as dates, names, and titles that are not relevant to the subject.

Therefore, it is possible to easily scale index information using a computer-based database, and search is very easy.

In contrast, topic indexes are smart and time-consuming because they need to find elements that can be thematic from information sources.

For this reason, people with professional training or those with expertise in the field should work, which is virtually impossible in today's world with a large amount of literature.

In order to solve this problem, a text search system using a computer as a subject and selecting a word in the text as a search keyword, rather than a subject indexing work by humans, stands out.

Therefore, the indexer of the elements constituting the search engine can be said to be the most essential part of the search system.

This is because the index file creation speed, index file size, and retrieval speed depend on the file structure of the noun list and meta information extracted from the stemming.

Therefore, the indexer structure is also a part that is not generally well known.

The index file structure generally uses the "inverted file technique". There are many products using the inverted file using the B tree, and the ranking and time information between documents is composed of a bidirectional linked list.

In addition, there are various index file structures using the modification of the file structure.

However, the conventional index method as described above has a problem in that it takes a lot of time in the process by transferring to a PC capable of character recognition after scanning or subject extraction and reentry through an image pattern analysis workstation.

Accordingly, the present invention has been devised to solve the above-mentioned problems, and it is possible to automatically index the text-based data such as text and word processor data, images, representative screens of video, and graphic data as images. An object of the present invention is to provide an automatic indexing robot system and a processing method using the same.

The automatic index robot system of the present invention for achieving the above object,

A server for storing information such as XML documents, WPS data, image scanning, moving picture data, photographing, etc. and index words or image indexes;

Characterized in that it is configured as a robot PC to search the information stored in the server through an index word search or a character recognizer or extract the vector image data.

In addition, the processing method using the automatic index robot system of the present invention for achieving the above object,

A first step of automatically indexing character data types according to data stored in the server;

A second step of automatically indexing the scanned original image according to the data stored in the server; And,

And a third process of automatically indexing the photographic image according to the data stored in the server.

1 is a block diagram of an automatic index robot system according to the present invention,

2 is an operation flowchart of a processing method using an automatic index robot system according to the present invention.

<Description of the symbols for the main parts of the drawings>

10: server 20: robot PC

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

As shown in FIG. 1, the automatic index robot system according to the present invention includes a server 10 for storing information such as XML documents, WPS data, image scanning, moving picture data, photographing, and index words or image indexes; The information stored in the server 10 is configured as a robot PC 20 for searching through an index word search or a character recognizer or extracting vector image data.

In the automatic index robot system of the present invention configured as described above, the server 10 first communicates with the robot PC 20, and receives the index from the robot PC 20 and systematically stores the index word or the image index. It must have the ability to

On the other hand, the robot PC 20 should be equipped with a hardware or software index word search function for text-type data, and a text recognition board (Board) or text recognition software should be provided for original image data. In the case of photographic images, the vector data extraction function should be provided.

In the processing method using the automatic indexing robot system using the server 10 and the robot PC 20 having the above functions, when the information to be indexed by the user is a document, the robot PC 20 is configured to execute the server ( When text data is transmitted from 10), the morphemes are analyzed using the morphological analysis system, and then the index words are finally extracted by filtering the stopwords that are not suitable for the index words.

Here, stopword refers to an unnecessary word that does not need to be treated as an index word among the analyzed index words.

The index word extracted as described above is transmitted to the server 10 and stored.

Meanwhile, when the information to be indexed by the user is a scanned original image, the robot PC 20 recognizes a character by operating a character recognizer (not shown) when the image data scanned from the server 10 is delivered. After extracting the character string and using the morphological analysis system, the index word is finally extracted by filtering the stopwords that are not suitable for the index word among the analysis results.

The index word or the string extracted as described above is transmitted to the server 10, and the server 10 extracts and stores the index word from the transmitted string when the string extracted from the robot PC 20 is transmitted. To correct the text.

On the other hand, if the information that the user wants to index is a photographic image, the robot PC 20 first extracts a vector of the photographic image when the photographic image is transmitted from the server 10 to obtain a shape, color, texture, Extract indexes of brightness and saturation.

The index of the extracted photo image is transmitted to the server 10 and stored.

When the processing method using the automatic indexing robot system of the present invention operates as described above, the first process (100) for automatically indexing the character data type according to the data stored in the server; A second step (200) of automatically indexing the scanned original image according to the data stored in the server; And a third process 300 for automatically indexing the photographic image according to the material stored in the server.

When the first process 100 is shown in a flow chart as shown in Figure 2, the first step (101) receives the character data type data from the server; A second step (102) of extracting an index word string from the character data type data transmitted in the first step (101); And a third step 103 of transmitting the index word extracted as the character string in the second step 102 to the server.

As shown in FIG. 3, the second process 200 includes a first step 201 to receive original image data scanned from a server; A second step (202) of operating a character recognizer to extract a character string from the image data transmitted in the first step (201); A third step (203) of extracting an index word string by the character recognizer operated in the second step (202); A fourth step (204) of transmitting the index word or the string extracted in the third step (203) to the server; A fifth step (205) of extracting an index word from the transmitted string when the string extracted in the fourth step (204) is transmitted; A sixth step (206) of storing the index word extracted in the fifth step (205); And a seventh step 207 of correcting the text by using the character string of the index word stored in the sixth step 206.

4, a first step 301 of receiving a photographic image from a server as shown in FIG. 4; A second step (302) of extracting an index by shape, color, texture, lightness, and saturation from the photo image data transmitted in the first step (301); And a third step 303 of transmitting the index of the photographic image extracted in the second step 302 to the server.

As described in detail above, the automatic index robot system and the processing method using the same according to the present invention can provide a user with a visually accurate and convenient high quality search service, and shorten the process due to the muinization by automation by the robot. And because it is a 24-hour operation system, there is no need to build a plurality of recognition system, thereby reducing the cost.

Although the invention has been described in detail only with respect to the specific examples described, it will be apparent to those skilled in the art that various modifications and variations are possible within the spirit of the invention, and such modifications and variations belong to the appended claims.

Claims (5)

A server 10 for storing information such as XML documents, WPS data, image scanning, moving picture data, photographing, and index words or image indexes; Automatic index robot system, characterized in that configured as a robot PC (20) for retrieving the information stored in the server (10) through an index word search or a character recognizer or extract vector image data. A first process (100) of automatically indexing character data types according to data stored in a server; A second step (200) of automatically indexing the scanned original image according to the data stored in the server; And, And a third process (300) for automatically indexing the photographic image according to the data stored in the server. The method of claim 2, The first process 100, A first step 101 of receiving character data type data from a server; A second step (102) of extracting an index word string from the character data type data transmitted in the first step (101); And, And a third step (103) of transmitting the index word extracted as a character string in the second step (102) to the server. The method of claim 2, The second process 200, A first step 201 of receiving original image data scanned from a server; A second step (202) of operating a character recognizer to extract a character string from the image data transmitted in the first step (201); A third step (203) of extracting an index word string by the character recognizer operated in the second step (202); A fourth step (204) of transmitting the index word or the string extracted in the third step (203) to the server; A fifth step (205) of extracting an index word from the transmitted string when the string extracted in the fourth step (204) is transmitted; A sixth step (206) of storing the index word extracted in the fifth step (205); And, And a seventh step (207) of correcting text by using the character string of the index word stored in the sixth step (206). The method of claim 2, The third process 300, A first step 301 of receiving a photographic image from a server; A second step (302) of extracting an index by shape, color, texture, lightness, and saturation from the photo image data transmitted in the first step (301); And, And a third step (303) of transmitting the index of the photographic image extracted in the second step (302) to the server.