KR20220001844A - Method and apparatus for providing data indicating whether electronic documents in different formats match - Google Patents

Abstract

According to an embodiment of the present invention, there is provided a method and apparatus for providing data indicating whether electronic documents in different formats match. The method for providing data whether indicating whether electronic documents in different formats match according to the embodiment of the present invention includes: generating sentence attribute data by analyzing each of the electronic documents in different formats; determining sentence similarity with respect to the electronic documents based on the generated sentence attribute data; generating word attribute data for the electronic documents according to the determined sentence similarity; determining word similarity with respect to the electronic documents based on the generated word attribute data; determining whether the electronic documents match according to the determined word similarity; and providing result data indicating whether the electronic documents match. The present invention allows the user to check not only differences in words but also differences in attributes.

Description

Method and apparatus for providing data indicating whether electronic documents of different formats match each other

The present invention relates to a method and apparatus for providing data indicating whether electronic documents of different formats match.

Recently, as computers, smart phones, or tablet PCs are widely used, various types of electronic document-related programs have been released that allow users to read, write, and edit electronic documents using such terminal devices.

These electronic document-related programs include a word processor supporting basic document creation and editing, a spreadsheet supporting data input, arithmetic operations, and data management, and presentation programs supporting a presenter's presentation.

In general, a user creates an electronic document using such an electronic document-related program, and a new copy can be created whenever the electronic document created in this way is updated.

When the final version of the electronic document is generated, the user may create an electronic document in a format different from that of the generated electronic document. An electronic document different from the document may be created.

In addition, when the user needs to compare the original and the copy to confirm this, it is difficult for the user to compare electronic documents in different formats through the electronic document related program. There is trouble in comparing them with each other.

Accordingly, there is a need for a method and apparatus for providing data indicating whether electronic documents of different formats match each other.

SUMMARY OF THE INVENTION An object of the present invention is to provide a method and apparatus for providing data indicating whether electronic documents of different formats match each other.

Specifically, the problem to be solved by the present invention is to provide data indicating whether electronic documents of different formats match each other in order to easily check whether the original and the copy match when a copy of the electronic document created by the user is created To provide a method and apparatus.

The problems of the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

In order to solve the above problems, a method and apparatus for providing data indicating whether electronic documents of different formats match each other are provided.

According to an embodiment of the present invention, the data providing method for indicating whether electronic documents of different formats match each other, performed by a control unit of a data providing apparatus indicating whether electronic documents of different formats match or not, according to an embodiment of the present invention, generating sentence attribute data by analyzing each of the formatted electronic documents; determining sentence similarity with respect to the electronic documents based on the generated sentence attribute data; generating word attribute data for the electronic documents according to the determined sentence similarity; determining word similarity with respect to the electronic documents based on the generated word attribute data; determining whether the electronic documents match each other according to the determined word similarity; and providing result data indicating whether the electronic documents match or not.

According to an embodiment of the present invention, there is provided an apparatus for providing data indicating whether electronic documents of different formats match each other, comprising: a storage unit for storing electronic documents of different formats; and a control unit configured to be connected to the storage unit, wherein the control unit analyzes each of the electronic documents of the different formats to generate sentence attribute data, and based on the generated sentence attribute data, to the electronic documents determines the similarity of a sentence with respect to each other, generates word attribute data for the electronic documents according to the determined sentence similarity, determines the similarity of words with respect to the electronic documents based on the generated word attribute data, and the determined word and determine whether the electronic documents match according to the degree of similarity, and provide result data indicating whether the electronic documents match.

Details of other embodiments are included in the detailed description and drawings.

According to the present invention, it is possible to quickly and easily check whether two or more electronic documents match regardless of a document format.

In addition, the present invention can minimize the hassle of converting to the same format in order to determine whether electronic documents of different formats match each other.

Also, according to the present invention, when a user makes a copy in a different format for a specific electronic document, it is possible to easily check whether the original and the copy match.

In addition, the present invention compares an original and a copy having different formats and provides data indicating whether or not they match, so that the user can check not only differences in words but also differences in attributes.

The effect according to the present invention is not limited by the contents exemplified above, and more various effects are included in the present specification.

1 is a schematic diagram for explaining a data providing apparatus indicating whether electronic documents of different formats match each other according to an embodiment of the present invention.
2 is a schematic block diagram of an electronic device according to an embodiment of the present invention.
3 is an exemplary diagram illustrating sentence attribute data for two electronic documents according to an embodiment of the present invention, and FIG. 4 is an exemplary diagram illustrating sentence comparison index data for two electronic documents according to an embodiment of the present invention It is also
5 is an exemplary diagram for explaining a method of generating sentence attribute data according to an embodiment of the present invention.
6 is an exemplary diagram illustrating word attribute data for two electronic documents according to an embodiment of the present invention.
7A and 7B are exemplary views illustrating word comparison index data for two electronic documents according to an embodiment of the present invention.
8 is an exemplary diagram illustrating decision index data used to determine whether two electronic documents match or not according to an embodiment of the present invention.
9 is a schematic flowchart for explaining a method of providing data indicating whether electronic documents of different formats match each other in an electronic device according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be embodied in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. In connection with the description of the drawings, like reference numerals may be used for like components.

In this document, expressions such as "have," "may have," "includes," or "may include" refer to the presence of a corresponding characteristic (eg, a numerical value, function, operation, or component such as a part). and does not exclude the presence of additional features.

In this document, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, "A or B," "at least one of A and B," or "at least one of A or B" means (1) includes at least one A, (2) includes at least one B; Or (3) it may refer to all cases including both at least one A and at least one B.

As used herein, expressions such as "first," "second," "first," or "second," may modify various elements, regardless of order and/or importance, and refer to one element. It is used only to distinguish it from other components, and does not limit the components. For example, the first user equipment and the second user equipment may represent different user equipment regardless of order or importance. For example, without departing from the scope of the rights described in this document, the first component may be named as the second component, and similarly, the second component may also be renamed as the first component.

A component (eg, a first component) is "coupled with/to (operatively or communicatively)" to another component (eg, a second component); When referring to "connected to", it will be understood that the certain element may be directly connected to the other element or may be connected through another element (eg, a third element). On the other hand, when it is said that a component (eg, a first component) is "directly connected" or "directly connected" to another component (eg, a second component), the component and the It may be understood that other components (eg, a third component) do not exist between other components.

The expression "configured to (or configured to)" as used in this document, depending on the context, for example, "suitable for," "having the capacity to ," "designed to," "adapted to," "made to," or "capable of." The term “configured (or configured to)” may not necessarily mean only “specifically designed to” in hardware. Instead, in some circumstances, the expression “a device configured to” may mean that the device is “capable of” with other devices or parts. For example, the phrase "a processor configured (or configured to perform) A, B, and C" refers to a dedicated processor (eg, an embedded processor) for performing the corresponding operations, or by executing one or more software programs stored in a memory device. , may mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe specific embodiments, and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meanings as commonly understood by one of ordinary skill in the art described in this document. Among terms used in this document, terms defined in a general dictionary may be interpreted with the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, ideal or excessively formal meanings is not interpreted as In some cases, even terms defined in this document cannot be construed to exclude embodiments of this document.

Each feature of the various embodiments of the present invention may be partially or wholly combined or combined with each other, and as those skilled in the art will fully understand, technically various interlocking and driving are possible, and each embodiment may be implemented independently of each other, It may be possible to implement together in a related relationship.

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

1 is a schematic diagram for explaining a data providing apparatus (hereinafter referred to as an 'electronic device') indicating whether electronic documents of different formats match each other according to an embodiment of the present invention.

Referring to FIG. 1 , an electronic device 100 is an electronic device for comparing electronic documents of different formats and providing data indicating whether the electronic documents match, and an application, program, widget, or web browser for this purpose It may include at least one of an installed smart phone, a tablet PC (Personal Computer), a notebook computer, and/or a PC.

The electronic device 100 selects electronic documents of different formats through an application, program, widget or web browser, etc., determines whether the selected electronic documents match, and receives data indicating whether the determined electronic documents match. can provide

In response to a request for determining whether at least two or more of the electronic documents (110, 112, 114, 116) called 'patent column' having different formats such as .doc, .png, .mht and .pdf match Accordingly, the electronic device 100 may analyze each of the at least two or more electronic documents to generate sentence attribute data, and determine the sentence similarity of the at least two or more electronic documents based on the generated sentence attribute data.

Specifically, the electronic device 100 may classify text and non-text objects for each of at least two or more electronic documents. Here, objects other than text may include images, tables, graphs, figures, and/or comments. Also, in order to classify letters and non-letter objects, the electronic device 100 may use various letter (or text) recognition methods.

The electronic device 100 may classify at least one sentence by analyzing the character. In order to distinguish at least one sentence, the electronic device 100 may use an object for classification, such as a space, a space, and/or a period, as a classification index. For example, when a space is recognized and a period is recognized, the electronic device 100 may determine characters between the recognized space and the recognized period as one sentence.

The electronic device 100 may generate sentence attribute data for at least one divided sentence. Here, the sentence attribute data may indicate at least one of font, size, color, effect (thickness, italic conversion, or underline, etc.) for each of at least one sentence, but is not limited thereto.

The electronic device 100 may determine the sentence similarity of at least two or more electronic documents based on the generated sentence attribute data. Specifically, the electronic device 100 may generate sentence comparison index data used to compare sentences of at least two electronic documents based on the sentence attribute data, and determine the sentence similarity using the generated sentence comparison indicator data. have. Here, the sentence comparison index data may include at least one of a font type, font size, font color, and effect, but is not limited thereto, and various data used for sentence comparison may be included as a comparison index. . The font type means any character used to distinguish the font for each sentence.

For example, in order to determine whether the first electronic document matches the second electronic document obtained by changing the first electronic document to a different format, the electronic device 100 sets the font of the first sentence in the first electronic document to 'clear gothic'. ', the letter 'A' may be expressed as a font form in correspondence to 'clear Gothic', and if the font of the second sentence is 'Gulrim', the letter 'B' may be expressed as a font form in correspondence to 'Gulrim'. In the second electronic document, the electronic device 100 represents the letter 'A' as a font form when the font of the first sentence in the second electronic document is 'Gungseo', and displays the character 'B' in the font form when the font of the second sentence is 'Gungseo'. can This means that when the first electronic document is changed to a second electronic document having a format different from that of the first electronic document, the font of each sentence in the second electronic document may be different from that of the first electronic document, but each sentence contains the same content will have, so to represent them as arbitrary identical characters.

For example, whether the first electronic document 110 such as 'patent column.doc' stored in word (doc) format and the first electronic document 116 such as 'patent column.pdf' stored in PDF format match or not Assume that there is a request for judgment. In this case, the electronic device 100 analyzes each of the first electronic document 110 and the second electronic document 116 to classify letters and objects that do not correspond to letters, and analyzes the letters to obtain the first electronic document 110 . and at least one sentence for each of the second electronic document 116 may be distinguished. When each of the first electronic document 110 and the second electronic document 116 includes 10 sentences, the electronic device 100 provides first sentence attribute data for 10 sentences corresponding to the first electronic document 110 . , and second sentence attribute data for 10 sentences corresponding to the second electronic document 116 may be generated.

The electronic device 100 generates first sentence comparison index data for comparison with the second electronic document 116 by using the first sentence attribute data for 10 sentences corresponding to the first electronic document 110, Second sentence comparison index data for comparison with the first electronic document 110 may be generated by using the second sentence attribute data for ten sentences corresponding to the second electronic document 116 . For example, the electronic device 100 analyzes a specific sentence composed of 7 characters, such as 'teuk', 'heo', 'je', 'do', 'ui', 'muk', and 'red', as a result of analyzing each other. When other fonts are recognized, a font having a high frequency may be determined as a reference font of the corresponding sentence. When the font of 'Teuk', 'Heo', 'Je', 'Do', 'Ui', and 'Mok' is 'Gulrim' and the font of 'Enemy' is 'Jangeum', the electronic device 100 sets the text of the corresponding sentence. You can decide the base font to be 'Arial'. Here, the 'character' constituting a specific sentence or specific word may mean a minimum unit of a sentence or word to which a font can be applied.

The electronic device 100 may compare the first sentence comparison indicator data and the second sentence comparison indicator data to determine the sentence similarity with respect to the first electronic document 110 and the second electronic document 116 . Here, the sentence similarity may mean a value obtained by quantifying the number of sentences in which sentence comparison index data between at least two or more electronic documents match, but is not limited thereto. In various embodiments, the sentence similarity may be expressed as a ratio of the number of matching sentences to the total number of sentences.

In other words, the electronic device 100 provides sentence comparison index data for each of ten sentences corresponding to the first electronic document 110 and sentence comparison index data for each of ten sentences corresponding to the second electronic document 116 . can be compared to check the number of sentences that match the sentence comparison index data. The electronic device 100 may determine the sentence similarity by quantifying the number of matching sentences or quantifying the ratio of the number of matching sentences to the total number of sentences.

Next, the electronic device 100 generates word attribute data for each of the at least two or more electronic documents according to the determined sentence similarity, and determines the word similarity of the at least two or more electronic documents based on the generated word attribute data. can

Specifically, the electronic device 100 divides each of the ten sentences corresponding to the first electronic document 110 into at least one word, and divides each of the ten sentences corresponding to the second electronic document 116 into at least one word. can be separated by words.

In order to distinguish at least one word, the electronic device 100 may use a classification object such as a space, a space, and/or a period, and character properties such as a font, size, color, and/or effect. For example, the electronic device 100 analyzes each of 10 sentences to recognize a space, and when the next space is recognized, the electronic device 100 may check the properties of each character between the recognized spaces. The electronic device 100 may determine at least one character having the same attribute between spaces as a word. According to various embodiments, if there is a character whose character attribute does not match among the characters between spaces, the electronic device 100 may determine the corresponding character as a single word. In other words, one or more characters whose attributes do not match are determined as words.

The electronic device 100 generates first word attribute data for at least one divided word in correspondence to the first electronic document 110 , and corresponds to the second electronic document 116 , in response to the at least one divided word. It is possible to generate second word attribute data for Here, the word attribute data may include at least one of a sentence number, font, size, color, and effect for each of the at least one word, but is not limited thereto. Here, the sentence number may mean the number of the sentence to which the word belongs.

The electronic device 100 generates first word comparison index data used for comparison with words in a second electronic document by using first word attribute data corresponding to the first electronic document, and corresponds to the second electronic document The second word comparison index data used for comparison with the words of the first electronic document may be generated by using the second word attribute data. Here, the word comparison index data may include at least one of a font type, a frequency for each font type, a font size ratio, a frequency for each font size, a font color ratio, and a frequency for each font color. It can be included as an indicator. Here, the font size ratio means the ratio (%) of the font size to the overall size when the total size of the document is 100%, and the font color ratio is the total color ratio when the entire color in the document is 100% for each RGB. It may mean the percentage (%) occupied by the corresponding font color. Also, the frequency may mean the number of words.

The electronic device 100 may determine the word similarity with respect to the first electronic document 110 and the second electronic document 116 by comparing the first word comparison index data and the second word comparison index data. Here, the word similarity may mean a value obtained by quantifying the number of words that match the word comparison index data between at least two electronic documents, but is not limited thereto. In various embodiments, the word similarity may be expressed as a ratio of the number of matching words to the total number of words.

In other words, the electronic device 100 provides word comparison index data for each of at least one word constituting each of 10 sentences corresponding to the first electronic document 110 , and 10 sentences corresponding to the second electronic document 116 . By comparing the word comparison index data of each of at least one word constituting each sentence, the number of words with which the word comparison index data matches may be confirmed. The electronic device 100 may determine the word similarity by quantifying the number of matching words or by quantifying the ratio of the number of matching words to the total number of words.

The electronic device 100 may determine whether at least two or more electronic documents match each other according to the determined word similarity, and may provide result data indicating this.

Specifically, the electronic device 100 may determine whether the determined word similarity is equal to or greater than a preset threshold similarity, and, if equal to or greater than the threshold similarity, may perform detailed comparison of at least two or more electronic documents.

For detailed comparison, the electronic device 100 may generate detailed comparison index data for at least two or more electronic documents. For example, the electronic device 100 selects at least one of a sentence number of the first electronic document 110, at least one word according to the sentence number, a font shape for each word, a font size for each word, and a font color for each word. It is possible to generate the first detailed comparison index data including, and to generate the second detailed comparison index data of the second electronic document 116 .

The electronic device 100 may determine whether at least two or more electronic documents match by comparing the generated detailed comparison index data. For example, the electronic device 100 compares the first detailed comparison index data of the first electronic document 110 and the second detailed comparison index data of the second electronic document 116 , and at least one , and if at least one word matches as a result of the comparison, a font shape for each word, a font size for each word, and a font color for each word may be compared.

When the font shape for each word, the font size for each word, and the font color for each word coincide with each other, the electronic device 100 determines that the first electronic document 110 and the second electronic document 116 match each other, and results data indicating this can provide

If at least one word according to each sentence number does not match or at least one of a font shape for each word, a font size for each word, and a font color for each word does not match, the electronic device 100 may also provide result data indicating this . For example, the electronic device 100 may display at least one of mismatched words, mismatched font shapes, mismatched font sizes, and mismatched font colors between the first electronic document 110 and the second electronic document 116 . You can provide result data that represents one.

In various embodiments, when non-text objects such as images, tables, graphs, figures and/or comments exist in the electronic document, the electronic device 100 analyzes the object to generate object property data including the size of the object, Object comparison index data used to compare objects of at least two or more electronic documents may be generated using the generated object attribute data. In the case of an image, the electronic device 100 analyzes the size of the image through various image analysis methods, but in the case of a table, graph, figure, and/or annotation other than an image, it may be converted into an image to perform image analysis. Here, the object comparison index data may represent a value obtained by quantifying the ratio of the converted image size to the total document size.

The electronic device 100 may determine object similarity with respect to at least two or more electronic documents by comparing object comparison index data for each of the at least two or more electronic documents. Here, the object similarity may mean a value obtained by quantifying the number of objects to which the object comparison index data between at least two or more electronic documents match, but is not limited thereto, and the object similarity is the ratio of the number of matching objects to the total number of objects. It can also be expressed as

The electronic device 100 may determine whether electronic documents match each other by considering not only the above-described word similarity but also object similarity. Specifically, when the determined word similarity is equal to or greater than the threshold similarity and the determined object similarity is equal to or greater than the threshold similarity, the electronic device 100 may perform detailed comparison on at least two or more electronic documents. For detailed comparison, the electronic device 100 may generate detailed comparison index data for at least two or more electronic documents. For example, the detailed comparison index data includes the above-described sentence number, at least one word according to the sentence number, font shape for each word, font size for each word, and font color for each word, as well as the ratio of the image size to the overall document size. may include

The electronic device 100 may determine whether at least two or more electronic documents match by comparing the generated detailed comparison index data. For example, the electronic device 100 compares at least one word according to each sentence number, and if at least one word matches as a result of the comparison, the font shape for each word, the font size for each word, the font color for each word, and the overall document size are compared You can compare the ratio of image size.

When the font shape for each word, the font size for each word, the font color for each word, and the ratio of the image size to the overall document size match each other, the electronic device 100 determines that the first electronic document 110 and the second electronic document 116 are mutually You can determine a match and provide result data indicating this.

If at least one word according to each sentence number does not match, or at least one of the font shape for each word, the font size for each word, the font color for each word, and the ratio of the image size to the total document size does not match, the electronic device 100 may also provide result data indicating this.

As described above, according to the present invention, it is possible to quickly and easily check whether two or more electronic documents match each other regardless of the document format.

Hereinafter, an electronic device for determining similarity by comparing electronic documents of different formats with reference to FIG. 2 will be described in detail.

2 is a schematic block diagram of an electronic device according to an embodiment of the present invention.

Referring to FIG. 2 , the electronic device 200 includes a communication unit 210 , a display unit 220 , a storage unit 230 , and a control unit 240 . In the presented embodiment, the electronic device 200 may refer to the electronic device 100 of FIG. 1 .

The communication unit 210 connects the electronic device 200 to enable communication with an external device. The communication unit 210 may be connected to an external device using wired/wireless communication to transmit/receive various data.

The display unit 220 may display various contents such as text, image, video, icon, banner or symbol to the user. For example, the display unit 220 may display various interface screens indicating electronic documents of different formats and/or comparison results between electronic documents.

In various embodiments, the display unit 220 may include a touch screen, for example, a touch, a gesture, a proximity, a drag, and a swipe using an electronic pen or a part of the user's body. A swipe or hovering input may be received.

The storage unit 230 may store electronic documents of different formats and various data used to compare electronic documents.

In various embodiments, the storage unit 230 includes a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (eg, SD or XD). memory, etc.), Random Access Memory (RAM), Static Random Access Memory (SRAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Programmable Read-Only Memory (PROM) , a magnetic memory, a magnetic disk, and an optical disk may include at least one type of storage medium. The electronic device 200 may operate in relation to a web storage that performs the storage function of the storage unit 230 on the Internet.

The control unit 240 is operatively connected to the communication unit 210, the display unit 220, and the storage unit 230, and compares electronic documents of different formats to provide data indicating whether the electronic documents are consistent with each other. Various commands can be executed.

To this end, the controller 240 analyzes electronic documents of different formats to generate sentence attribute data for each electronic document, determines the sentence similarity to the electronic documents based on the generated sentence attribute data, and determines the sentence similarity generates word attribute data for each electronic document according to Result data can be provided.

Specifically, the control unit 240 analyzes two different electronic documents to classify letters and non-letter objects in each electronic document, analyzes the letters to classify at least one sentence, and then adds them to at least one divided sentence. You can create sentence attribute data for

The controller 240 may generate sentence comparison index data based on the sentence attribute data for each electronic document, and determine the sentence similarity between the two electronic documents by using the generated sentence comparison indicator data.

A method for determining the sentence similarity will be described in detail with reference to FIGS. 3 and 4 .

3 is an exemplary diagram illustrating sentence attribute data for two electronic documents according to an embodiment of the present invention, and FIG. 4 is an exemplary diagram illustrating sentence comparison index data for two electronic documents according to an embodiment of the present invention It is also

Referring to FIG. 3 , it is assumed that the first electronic document 300 and the second electronic document 310 have different formats, and there is a request for determining whether the two electronic documents match.

The control unit 240 may analyze the first electronic document 300 to classify it into letters and non-letter objects, and analyze the letters to classify the first electronic document 300 into 13 sentences. In addition, the controller 240 may analyze the second electronic document 310 to classify the text into text and non-text objects, and analyze the text to classify the second electronic document 310 into 13 sentences.

The control unit 240 generates first sentence attribute data 305 for 13 sentences of the first electronic document 300 as shown in FIG. 3A, and as shown in FIG. 3B, the second electronic document Second sentence attribute data 315 for 13 sentences of 310 may be generated.

Referring to (a) of FIG. 3 , the first sentence attribute data 305 is a sentence number (eg, 1, 2, … 13), a font (eg, clear gothic, gulrim, bulge, … bolster), font size ( Examples: size 12, size 10, size 9, …size 9), and font color (eg, light blue, blue, black, …black).

Referring to (b) of FIG. 3, the second sentence attribute data 315 is a sentence number (eg, 1, 2, … 13), a font (eg, clear gothic, gullim, background, … embossed), a font size ( Examples: size 12, size 10, size 9, …size 9), and font color (eg, light blue, blue, black, …black).

Referring to FIG. 4 , the controller 240 generates first sentence comparison index data as shown in FIG. 4 ( a ) based on the first sentence attribute data 305 , and based on the second sentence attribute data 315 . Thus, the second sentence indicator data may be generated as shown in FIG. 4(b).

Specifically, for the first electronic document 300 , the control unit 240 corresponds to the font of the sentence 1 based on the sentence attribute data of the sentence 1 (eg, 1. clear gothic, size 12, color light blue) and the font form An arbitrary letter 'A' representing By calculating the ratio of font color, you can generate sentence attribute data including font shape (eg A), font size ratio (eg 39), and font color ratio (eg 0:69:94) for sentence 1 have. The control unit 240 generates sentence attribute data for sentences 2 to 13 using the same method, thereby generating first sentence comparison index data corresponding to the first electronic document 300 as shown in FIG. 4A . can do.

Next, with respect to the second electronic document 310 , the control unit 240 sets an arbitrary font type to the font of the sentence 1 based on the sentence attribute data of the sentence 1 (eg, 1. Clear Gothic, size 12, color light blue). A letter 'A' corresponding to 'A' is given, the ratio of the font size of sentence 1 to the total document size of the first electronic document 300 is calculated, and the font of sentence 1 compared to the entire RGB color of the second electronic document 310 By calculating the ratio of colors, sentence attribute data including font type (eg A), font size ratio (eg 39) and font color ratio (eg 0:69:94) for sentence 1 can be generated. . The control unit 240 generates sentence attribute data for sentences 2 to 13 using the same method, thereby generating second sentence comparison index data corresponding to the second electronic document 310 as shown in FIG. 4( b ). can do.

In various embodiments, since the font of sentence 3 in the first electronic document 300 and the font of sentence 3 in the second electronic document 310 are different but correspond to the same sentence number, the controller 240 controls sentence 3 of the first electronic document An arbitrary letter 'C' may be equally assigned to the font of ' and the font of sentence 3 of the second electronic document.

The control unit 240 compares the generated first sentence comparison index data with the second sentence comparison index data to calculate the number of matching sentences, quantify the calculated number of sentences, or the number of matching sentences compared to the total number of sentences It can be calculated as the sentence similarity by quantifying the ratio of .

In various embodiments, when a first electronic document in 'doc' format is converted into a second electronic document in 'pdf' format, when the font of some words is converted to a font different from that of the first electronic document, sentence attribute data is generated A method of doing this will be described with reference to FIG. 5 .

5 is an exemplary diagram for explaining a method of generating sentence attribute data according to an embodiment of the present invention.

Referring to FIG. 5 , the second electronic document 500 refers to an electronic document converted into a format different from that of the first electronic document.

When recognizing that properties of some words 505 and 510 (eg, invention, means) among words constituting sentence 3 of the second electronic document 500 are different from properties of the remaining words, the controller 240 controls The attribute of each word constituting the sentence 3 may be recognized, and the number of words having different attributes may be checked from the recognized attributes, and the attribute having the greater number of words may be determined as the attribute of the sentence 3 . For example, when the font of some of the words 505 and 510 among the words constituting sentence 3 is 'Gulrim' and the fonts of the other words are 'Badang', the controller 240 controls the font of the word having the 'Gurum' font. The number and the number of words having the 'background' font may be checked, and a font having a larger number may be determined as the font of sentence 3 by comparing the number. In this case, since the number of words having the 'background' font is greater than the number of words having the 'Gulim' font, the font of sentence 3 may be determined as 'background'. Accordingly, in the sentence attribute data 515 of the second electronic document 500 , the sentence attribute data 515 of sentence 3 is '3. background, size 9, color black.

Referring back to FIG. 2 , the control unit 240 analyzes each of at least one divided sentence corresponding to each of the two electronic documents according to the determined sentence similarity to classify at least one word, and adds to the at least one divided word. You can create word attribute data for For example, if the sentence similarity is greater than or equal to a preset threshold sentence similarity, the control unit 240 may perform an operation for generating word attribute data, but is not limited thereto, and the first electronic document 300 and the first electronic document 300 of FIG. When the sentence comparison index data of the two electronic documents 310 match, an operation for generating word attribute data may be performed.

The controller 240 may generate word comparison index data based on word attribute data for each electronic document, and determine the word similarity between two electronic documents using the generated word comparison index data.

A method for determining the word similarity will be described in detail with reference to FIGS. 6, 7A, and 7B.

6 is an exemplary diagram illustrating word attribute data for two electronic documents according to an embodiment of the present invention, and FIGS. 7A and 7B are diagrams showing word comparison index data for two electronic documents according to an embodiment of the present invention they are examples

As described above in FIG. 3 , it is assumed that the first electronic document 300 is divided into 13 sentences and the second electronic document 310 is divided into 13 sentences.

The controller 240 generates first word attribute data for 13 sentences of the first electronic document 300 as shown in FIG. 6(a), and as shown in FIG. 6(b), the second electronic document 310 It is possible to generate second word attribute data for 13 sentences of .

Referring to (a) of FIG. 6 , the first word attribute data includes sentence numbers (eg, 1, 2, … 13), words for each sentence number (eg, patent column, patent system, purpose, … for each word). You can include the font (eg Clear Gothic, Arial, Helmet, …), the font size for each word (eg 12, 10, 9, …, and the font color (eg light blue, blue, black, …) .

Referring to (b) of FIG. 6 , the second word attribute data includes sentence numbers (eg, 1, 2, … 13), words for each sentence number (eg, patent column, patent system, purpose, … for each word). You can include the font (eg Clear Gothic, Arial, Background, …), the font size for each word (eg 12, 10, 9, …, and the font color (eg light blue, blue, black, …).

7A and 7B , the controller 240 generates first word comparison index data as shown in FIG. 7A based on the first word attribute data, and the second word attribute data as shown in FIG. 7B based on the second word attribute data. Word comparison index data can be generated.

Specifically, the control unit 240 is configured to control first word comparison index data (eg, font type, frequency of each font type, font size ratio, frequency by font size ratio, font color ratio, and frequency by font color ratio), and to generate second word comparison index data based on the attribute data of each word in the second electronic document 310 have.

For example, with respect to the first electronic document 300 , the controller 240 controls the word attribute data of the word 'patent column' of sentence 1 (eg, sentence 1, clear gothic, 12, light blue), the word 'of sentence 2' Word attribute data of 'of the patent system (eg sentence 2, roll, 10, blue), word attribute data of word 'purpose' of sentence 2 (eg sentence 2, roll, 10, blue), word ' of sentence 3 In the patent system, word attribute data of '(eg, sentence 3, bold, 9, black), word attribute data of the word 'invention' of sentence 3 (eg, sentence 3, bold, 9, black), ... As shown in (a) of FIG. 7a, an arbitrary letter 'A' representing the first font type is given in correspondence to the 'clear Gothic' font, and an arbitrary letter 'A' representing the second font type corresponding to the 'Gulim' font is given. A letter 'B' may be assigned, and an arbitrary letter 'C' representing a third font shape may be assigned to the 'embossed' font, and the font shape frequency, which is the number of words having each font shape, may be calculated. Also, the controller 240 calculates a ratio of the font size of each word to the overall document size as shown in FIG. 7A (b) based on the first word attribute data, and the font size ratio, which is the number of words having each font size ratio. By calculating the frequency of each star, and calculating the ratio of the font color of each word to the total RGB color as shown in FIG.

The controller 240 may generate first word comparison index data corresponding to the first electronic document 300 as shown in (a), (b), and (c) of FIG. 7A .

Next, with respect to the second electronic document 310 , the controller 240 controls the word attribute data of the word 'patent column' of sentence 1 (eg, sentence 1, clear gothic, 12, light blue), the word 'patent of sentence 2' Word attribute data of 'of the system' (eg sentence 2, Arial, 10, blue), word attribute data of the word 'purpose' of sentence 2 (eg sentence 2, roll, 10, blue), word 'patent' of sentence 3 The word attribute data of 'draft' (eg sentence 3, raised, 9, black), the word attribute data of the word 'invention' of sentence 3 (eg sentence 3, ground, 9, black), ... As shown in (a) of FIG. 7b based on , an arbitrary letter 'A' representing the first font type is given in correspondence with the 'clear Gothic' font, and an arbitrary letter indicating the second font type corresponding to the 'Gulim' font is given. The letter 'B' may be assigned, and an arbitrary letter 'C' representing the third font shape may be assigned to the 'base' font, and the font shape frequency, which is the number of words having each font shape, may be calculated.

In various embodiments, words constituting sentence 3 in the second electronic document 310 have different fonts (eg, background, embossed) from words constituting sentences 4 to 13, and in the first electronic document 300 Although the font (eg, embossed) of the words constituting sentence 3 and the font (eg, background) of the words constituting sentence 3 in the second electronic document 310 are different, sentence 3 is composed in the first electronic document 300 . Since the words and words constituting sentence 3 in the second electronic document 310 correspond to the same sentence number, the controller 240 sets the font shape of the words constituting sentence 3 in the first electronic document 300 . 2 In the electronic document 310, an arbitrary letter 'C' may be assigned to the same font form as the words constituting the sentence 3 .

Also, the controller 240 calculates a ratio of the font size of each word to the overall document size as shown in FIG. 7B (b) based on the second word attribute data, and the font size ratio, which is the number of words having each font size ratio. By calculating the frequency of each star and calculating the ratio of the font color of each word to the entire RGB color as shown in FIG.

The controller 240 may generate second word comparison index data corresponding to the second electronic document 310 as shown in (a), (b), and (c) of FIG. 7B .

The control unit 240 compares the generated first word comparison index data with the second word comparison index data to calculate the number of matching words, digitize the calculated number of words, or the number of matching words compared to the total number of words It can be calculated as word similarity by quantifying the ratio of .

Referring again to FIG. 2 , the controller 240 may determine whether two electronic documents match or not according to the determined word similarity, and may provide result data indicating this. For example, if the word similarity is greater than or equal to a preset threshold word similarity, the controller 240 may perform an operation for determining whether electronic documents match, but is not limited thereto, and the first electronic document 300 of FIG. 3 . ) and the word comparison index data of the second electronic document 310 match, an operation for determining whether the electronic documents match may be performed.

According to various embodiments, when an object other than text is included in the electronic document, the controller 240 may perform the same operation as when the object other than text of the electronic device 100 described above with reference to FIG. 1 is included.

As described above, the present invention can minimize the hassle of converting to the same format in order to determine whether electronic documents of different formats match each other, and when a user makes a copy in a different format for a specific electronic document, the original and the copy It can be easily checked whether the

In order to provide result data indicating whether electronic documents match or not, it will be described in detail with reference to FIG. 8 .

8 is an exemplary diagram illustrating decision index data used to determine whether two electronic documents match or not according to an embodiment of the present invention.

Referring to FIG. 8 , the determination index data may include a sentence number, a word by sentence number, a font shape for each word, a font size ratio for each word, and a font color ratio for each word.

Specifically, the control unit 240 is the first determination index data for the first electronic document 300 of FIG. 3 as shown in FIG. 8(a) and the second electronic document 310 as shown in FIG. 8(b). Whether or not the first electronic document 300 and the second electronic document 310 match may be determined by using the second determination index data for .

For example, the controller 240 may compare words according to each sentence number, and if each word matches, compare the font shape, font size ratio, and font color ratio according to each word to determine whether they match.

If at least one word that does not match exists, the controller 240 may provide result data indicating the word that does not match. In the presented embodiment, the operation of providing the result data may mean an operation of displaying the result data through the display unit 220 .

If each word matches but at least one of a font shape, a font size ratio, and a font color ratio does not match, the controller 240 may provide result data indicating this.

In various embodiments, the controller 240 compares words according to each sentence number and, if there is at least one word that does not match, compares words corresponding to other sentence numbers to determine whether or not they match. For example, if the word “patent column” corresponding to sentence 1 of the first electronic document and “patent requirement”, which is the word corresponding to sentence 1 of the second electronic document, do not match, the controller 240 controls the second electronic document In the document, there is a sentence that includes a word that matches the word “patent column”, which is the word corresponding to sentence 1 of the first electronic document, or “patent requirement” that is a word corresponding to sentence 1 of the second electronic document in the first electronic document It can be determined whether there is a sentence containing a word matching ”.

If a word matching "patent requirement" is included in sentence 5 of the first electronic document, the controller 240 may provide result data indicating this. In this case, the result data may be data for notifying that the “patent requirement” corresponding to sentence 1 of the second electronic document is included in sentence 5 of the first electronic document.

In various embodiments, if a word matching "patent column" is included in sentence 10 of the second electronic document, the controller 240 may also provide result data indicating this. In this case, the result data may be data for notifying that the “patent column” corresponding to sentence 1 of the first electronic document is included in sentence 10 of the second electronic document.

As described above, according to the present invention, it is possible to quickly and easily check whether two or more electronic documents match each other regardless of the document format.

In addition, the present invention compares an original and a copy having different formats and provides data indicating whether or not they match, so that the user can check not only differences in words but also differences in attributes.

Hereinafter, a method of providing data indicating whether electronic documents of different formats match each other in the electronic device 100 will be described with reference to FIG. 9 .

9 is a schematic flowchart for explaining a method of providing data indicating whether electronic documents of different formats match each other in an electronic device according to an embodiment of the present invention. The operations described below may be performed by the controller 240 of the electronic device 200 .

Referring to FIG. 9 , the electronic device 100 analyzes each of the electronic documents in different formats to generate sentence attribute data ( S900 ), and determines the sentence similarity to the electronic documents based on the generated sentence attribute data. do (S910).

Specifically, the electronic device 100 may analyze each of the electronic documents to classify them into letters and non-letters, and analyze the letters to classify at least one sentence. The electronic device 100 may generate sentence attribute data for at least one sentence of each electronic document, and generate sentence comparison index data for comparing each sentence of the electronic documents based on the generated sentence attribute data. Here, the sentence attribute data may include, but is not limited to, the font, font size, font color and/or effect of the sentence. In addition, the sentence comparison index data may include a sentence number, a font shape for each sentence number, a font size ratio, a font color ratio, and the like.

The electronic device 100 may determine the sentence similarity with respect to electronic documents by using the generated sentence comparison index data. For example, the electronic device 100 may calculate the number of sentences in which the sentence comparison index data matches the electronic documents, and determine the sentence similarity based on the calculated number of sentences.

The electronic device 100 generates word attribute data for the electronic documents according to the determined sentence similarity (S920), and determines the word similarity for the electronic documents based on the generated word attribute data (S930).

Specifically, the electronic device 100 may analyze at least one divided sentence of each electronic document to classify at least one word for each sentence, and generate word attribute data for the at least one divided word. . Here, the word attribute data may include, but is not limited to, sentence number, font, font size, font color and/or effect of the word.

The electronic device 100 may generate word comparison index data for comparing each word of electronic documents based on the generated word attribute data, and determine word similarity with respect to electronic documents using the generated word comparison index data. have. Here, the word comparison index data may include, but is not limited to, a font type, a frequency for each font type, a font size ratio, a frequency for each font size ratio, a font color ratio, and a frequency for each font color ratio. For example, the electronic device 100 may calculate the number of words that match the word comparison index data corresponding to the electronic documents, and determine the word similarity based on the calculated number of words.

The electronic device 100 determines whether electronic documents match each other according to the determined word similarity (S940), and provides result data indicating whether the electronic documents match (S950).

Specifically, the electronic device 100 compares each word by sentence number of each of the electronic documents to determine whether the word matches, and if each word by sentence number matches each other, the font shape, font size ratio, and font color of each word A match may be determined by comparing at least one of the ratios.

When at least one of a font shape, a font size ratio, and a font color ratio of each word matches each other, the electronic device 100 may determine that electronic documents of different formats match each other, and provide result data indicating this.

If the words for each sentence number do not match each other, the electronic device 100 may provide the non-matching word and result data indicating attribute data for the word.

If at least one of a font shape, a font size ratio, and a font color ratio of each word does not match, the electronic device 100 may provide result data indicating this.

As described above, according to the present invention, it is possible to quickly and easily check whether two or more electronic documents match each other regardless of the document format.

In addition, the present invention can minimize the hassle of converting to the same format in order to determine whether electronic documents of different formats match each other.

Also, according to the present invention, when a user makes a copy in a different format for a specific electronic document, it is possible to easily check whether the original and the copy match.

The apparatus and method according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded on the computer readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the computer software field. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - Includes magneto-optical media and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Although embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made within the scope without departing from the technical spirit of the present invention. . Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100, 200: electronic device
210: communication department
220: display unit
230: storage
240: control unit

Claims (12)

A data providing method for indicating whether electronic documents of different formats match each other, which is performed by a control unit of a data providing device indicating whether electronic documents of different formats match, the method comprising:
generating sentence attribute data by analyzing each of the electronic documents in the different formats;
determining sentence similarity with respect to the electronic documents based on the generated sentence attribute data;
generating word attribute data for the electronic documents according to the determined sentence similarity;
determining word similarity with respect to the electronic documents based on the generated word attribute data;
determining whether the electronic documents match each other according to the determined word similarity; and
and providing result data indicating whether the electronic documents match each other. According to claim 1,
The sentence attribute data includes at least one of a font, a size, a color, and an effect for each of at least one sentence,
Wherein the word attribute data includes at least one of a sentence number, font, size, color, and effect for each of at least one word, the data providing method indicating whether electronic documents of different formats match. The method of claim 1, wherein the generating of the sentence attribute data comprises:
classifying text and non-text objects for each of the electronic documents;
classifying at least one sentence by analyzing the letters;
and generating sentence attribute data for the at least one divided sentence. The method of claim 3, wherein the object that does not correspond to a letter,
A data providing method indicating whether electronic documents of different formats, including at least one of an image, a table, a graph, a figure, and an annotation, match. The method of claim 1, wherein determining the sentence similarity comprises:
generating sentence comparison index data used to compare sentences of the electronic documents based on the sentence attribute data; and
and determining the sentence similarity by using the generated sentence comparison index data. According to claim 5, wherein the sentence comparison index data,
A method of providing data indicating whether electronic documents of different formats are matched, including at least one of a font type, a font size, a font color, and an effect. The method of claim 5, wherein the sentence similarity
In electronic documents of different formats, a value obtained by quantifying the number of sentences in which the sentence comparison index data between the electronic documents matches or the ratio of the number of sentences in which the sentence comparison index data between the electronic documents match to the total number of sentences How to provide data indicating whether or not there is a match. The method of claim 3, wherein the generating of the word attribute data comprises:
dividing each of the at least one divided sentence into at least one word for each of the electronic documents; and
and generating word attribute data for the at least one divided word. The method of claim 1, wherein determining the word similarity comprises:
generating word comparison index data used to compare words of the electronic documents by using the word attribute data; and
and determining the word similarity by using the generated word comparison index data. 10. The method of claim 9, wherein the word comparison index data,
A method for providing data indicating whether electronic documents of different formats match or not, including at least one of a font type, a frequency for each font type, a font size ratio, a frequency for each font size, a font color ratio, and a frequency for each font color. The method of claim 10, wherein the word similarity
In electronic documents of different formats, which is a value obtained by quantifying the number of words in which the word comparison index data between the electronic documents match or the ratio of the number of words in which the word comparison index data between the electronic documents match to the total number of words How to provide data indicating whether or not there is a match. a storage unit for storing electronic documents in different formats; and
a control unit configured to connect with the storage unit;
The control unit is
Analyze each of the electronic documents of the different formats to generate sentence attribute data,
determining sentence similarity to the electronic documents based on the generated sentence attribute data;
generating word attribute data for the electronic documents according to the determined sentence similarity;
determining a word similarity with respect to the electronic documents based on the generated word attribute data;
determining whether the electronic documents match each other according to the determined word similarity;
and providing result data indicating whether the electronic documents match each other.

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