KR102432426B1 - Contents feedback system based on user interface - Google Patents

Abstract

The present invention relates to a content evaluation simulation system based on a user interface, comprising: a communication unit for receiving expert information from an expert terminal, and receiving the operator information and content from the operator terminal; a storage unit for storing the received expert information, business information and contents; and providing a user interface to the expert terminal and the operator terminal, matching an expert suitable for the operator through analysis of the expert information and the operator information, and providing expert feedback on the content through the user interface in real time and a calculation unit to, wherein the content is provided as any one of a document or an image to be prepared when performing a R&D task, and the calculation unit includes a UI providing module for providing a user interface to the expert terminal and the operator terminal; An expert matching module that matches an expert suitable for a business operator through analysis of expert information and the business information, and providing the feedback in real time through the user interface, but by changing the mode of the user interface according to the type of content to provide the feedback A feedback providing module to provide, a correction correction module for correcting and supplementing the content according to the feedback, and a payment management module for managing payment for the feedback cost, wherein the user interface includes a plurality of contents related to the content. A first layer in which tabs are formed, a second layer that summarizes the table of contents uploaded by a business operator, a third layer that displays the content uploaded by a business operator, and expert feedback on the content and a fourth layer that is the provided area, wherein the first layer is matched with a content tab under evaluation that can check the content currently being evaluated, and a content tab of My Content that can check the entire content of the uploaded operator, You can check the list of experts and you can see the Expert Selection tab where you can select additional experts, the Feedback tab by page where you can check the feedback by page, the Feedback tab by the expert where you can check the feedback by each expert, and the task announcement. A task announcement view tab, a reference material tab for checking reference materials, a content upload tab for uploading the content, and a content download tab for downloading the content are formed, the expert matching module, The above expert information A classification module for classifying by category, an analysis module for extracting keywords by analyzing the expert information, and at least one keyword extracted from the expert information to compare and analyze the business information to determine an expert matching the business operator a matching module, wherein the analysis module includes a pre-processing module for pre-processing the expert information, and an extraction module for extracting keywords from the pre-processed expert information, wherein the extraction module includes: After extracting a plurality of keywords with high values using the Document Frequency) method, the matching module constructs a document-word matrix using the extracted keywords of the expert information and constructs a document-word matrix of the business operator information By calculating a cosine similarity, when the calculated value of the cosine similarity is greater than or equal to a preset value, an expert matching the operator is determined, and the feedback providing module is configured to change the user interface mode according to the type of content to provide the feedback, and the correction and correction module is characterized in that it provides an editing module that allows the content to be directly edited by a business operator or an expert on the third layer.
According to the present invention, since it is possible to produce content in an advanced form through expert feedback, it is expected that the selection rate of R&D projects can be significantly increased.

Description

Content feedback system based on user interface {CONTENTS FEEDBACK SYSTEM BASED ON USER INTERFACE}

The present invention relates to a user interface-based content feedback system, and more particularly, to a user interface-based content feedback system that enables efficient content work through expert feedback on the user interface.

Recently, as science and technology is recognized as a key factor in determining national competitiveness, the scale of government-led research and development (R&D) projects is increasing. is getting more intense.

In order for a company to participate in these R&D tasks, it is generally necessary to prepare documents such as a task proposal or a task plan and submit it to the relevant institution. However, since operators have to perform various tasks such as technology development, sales, and market development, they cannot devote sufficient time to preparing the relevant documents and are experiencing many difficulties. In particular, there are frequent cases in which companies fail to be selected for R&D projects due to poorly written documents, even though they have sufficient task performance capabilities.

In addition, recently, due to the Corona 19 issue, some organizations recommend that you submit a video format such as a task proposal video in parallel with the content in the form of documents such as Hangul, Word, and PowerPoint, etc. have. However, when producing such video content, there is a problem in that it is difficult for a business operator to know what standards and methods should be produced, and in particular, there is a problem in that it is difficult for a business operator to know which part should be edited.

Accordingly, the operator seeks experts in each field to receive professional feedback on the content. In this case, there is a problem in that the operator's time is wast The content also differs for each expert, so there is a limitation in that it is difficult for a business operator to find an expert suitable for them.

SUMMARY OF THE INVENTION An object of the present invention is to provide a user interface-based content feedback system that enables efficient content work through expert feedback on a user interface in order to solve the above-mentioned conventional problems.

The above object, according to the present invention, receiving the expert information from the expert terminal, the communication unit for receiving the operator information and content from the operator terminal; a storage unit for storing the received expert information, business information and contents; and providing a user interface to the expert terminal and the operator terminal, matching an expert suitable for the operator through analysis of the expert information and the operator information, and providing expert feedback on the content through the user interface in real time and a calculation unit to, wherein the content is provided as any one of a document or an image to be prepared when performing a R&D task, and the calculation unit includes a UI providing module for providing a user interface to the expert terminal and the operator terminal; An expert matching module that matches an expert suitable for a business operator through analysis of expert information and the business information, and providing the feedback in real time through the user interface, but by changing the mode of the user interface according to the type of content to provide the feedback A feedback providing module to provide, a correction correction module for correcting and supplementing the content according to the feedback, and a payment management module for managing payment for the feedback cost, wherein the user interface includes a plurality of contents related to the content. A first layer in which tabs are formed, a second layer that summarizes the table of contents uploaded by a business operator, a third layer that displays the content uploaded by a business operator, and expert feedback on the content and a fourth layer, which is an area in which this is provided, wherein the first layer is matched with a content tab under evaluation that can check the content currently being evaluated, and a content tab of My Content that can check all the contents of the uploaded operator, You can check the list of experts and you can see the Expert Selection tab where you can select additional experts, the Feedback tab by page where you can check the feedback by page, the Feedback tab by the expert where you can check the feedback by each expert, and the task announcement. A task announcement view tab, a reference material tab for checking reference materials, a content upload tab for uploading the content, and a content download tab for downloading the content are formed, the expert matching module, The above expert information A classification module for classifying by category, an analysis module for extracting keywords by analyzing the expert information, and at least one keyword extracted from the expert information to compare and analyze the business information to determine an expert matching the business operator a matching module, wherein the analysis module includes a pre-processing module for pre-processing the expert information, and an extraction module for extracting a keyword from the pre-processed expert information, wherein the extraction module includes: After extracting a plurality of keywords with high values using the Document Frequency) method, the matching module constructs a document-word matrix using the extracted keywords of the expert information and constructs a document-word matrix of the business operator information By calculating a cosine similarity, when the calculated value of the cosine similarity is greater than or equal to a preset value, an expert matching the operator is determined, and the feedback providing module is configured to change the user interface mode according to the type of content to provide the feedback, and the correction and correction module provides an editing module that enables the content to be directly edited by a business operator or an expert on the third layer by a user interface-based content feedback system is achieved

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Also, the payment management module may manage payment for the feedback cost through an escrow service.

According to the user interface-based content feedback system according to an embodiment of the present invention, since it is possible to produce content in an advanced form through expert feedback, it is expected that the selection rate of R&D tasks can be significantly increased.

In addition, according to the present invention, a new non-face-to-face collaboration model can be built through voluntary participation between experts and business operators.

In addition, according to the present invention, there is an effect that it is possible to produce content in a standardized form, and there is an effect that can improve the content creation ability of a business operator.

On the other hand, the effects of the present invention are not limited to the above-mentioned effects, and various effects may be included within the range apparent to those skilled in the art from the description below.

1 is an overall view of a content feedback system based on a user interface according to an embodiment of the present invention;
2 is a block diagram of a user interface-based content feedback system according to an embodiment of the present invention;
3 is a view showing the detailed configuration of the server unit of the user interface-based content feedback system according to an embodiment of the present invention,
4 is a diagram illustrating a user interface provided in a content feedback system based on a user interface according to an embodiment of the present invention;
5 shows a Text-CNN model of an extraction module of a content feedback system based on a user interface according to an embodiment of the present invention;
6 shows an example in which the substrate unit is coupled to a specific part inside the case of the server unit of the user interface-based content feedback system according to an embodiment of the present invention;
7 is a diagram illustrating a process in which a replacement module of a user interface-based content feedback system is installed on a substrate according to an embodiment of the present invention;
8 is a detailed diagram illustrating a replacement module of a content feedback system based on a user interface according to an embodiment of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings.

In the description of the embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function interferes with the understanding of the embodiment of the present invention, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms.

Hereinafter, with reference to the accompanying drawings, a user interface-based content feedback system 100 according to an embodiment of the present invention will be described in detail.

FIG. 1 is a view of a user interface-based content feedback system as a whole according to an embodiment of the present invention, FIG. 2 is a block diagram of a user interface-based content feedback system according to an embodiment of the present invention, and FIG. 3 is A detailed configuration of the server unit of the user interface-based content feedback system according to an embodiment of the present invention is shown, and FIG. 4 shows a user interface provided in the user interface-based content feedback system according to an embodiment of the present invention. 5 shows a Text-CNN model of an extraction module of a user interface-based content feedback system according to an embodiment of the present invention, and FIG. 6 is a user interface-based content according to an embodiment of the present invention. It shows an example in which the substrate unit is coupled to a specific part inside the case of the server unit of the feedback system, and FIG. 7 is a process in which the replacement module of the user interface-based content feedback system according to an embodiment of the present invention is installed in the substrate unit. FIG. 8 is a detailed diagram of a replacement module of a content feedback system based on a user interface according to an embodiment of the present invention.

1 to 8, the user interface-based content feedback system 100 according to an embodiment of the present invention includes a server unit 110, an expert terminal (e), and a business operator terminal (u). include

The server unit 110 provides a user interface to the expert terminal (e) and the operator terminal (u) to be described later, matches an expert suitable for the operator through the analysis of the expert information and the operator information, and provides information about the content through the user interface. As to provide expert feedback in real time, it is connected to the operator terminal (u) and the expert terminal (e) to be described later through a network.

Such server unit 110 is typically a computing device (eg, a computer processor, memory, storage, input and output devices, other devices that may include components of a conventional computing device, or an electronic communication device such as a router, switch, etc.) or electronic information storage systems such as network attached storage (NAS) and storage area networks (SANs)) and computer software (ie, instructions that cause the computing device to function in a particular way) to achieve desired system performance. It can be arranged to achieve.

In addition, the communication module constituting the server unit 110 can transmit and receive requests and responses to and from other computing devices that are interlocked. As an example, such requests and responses may be made by the same TCP session, but is not limited thereto. Otherwise, it may be transmitted and received as a UDP datagram, for example.

In addition, the processor constituting the server unit 110 may include a hardware configuration such as a micro processing unit (MPU) or a central processing unit (CPU), a cache memory, and a data bus. In addition, the server unit 110 may further include an operating system and software configuration of an application for performing a specific purpose.

The expert terminal (e) is an expert in each field, for example, a patent attorney, a technology trader, a corporate technology valuer, an accountant, a tax accountant, a master's or doctorate in the relevant technical field, a document editing expert, an image editing expert, etc. (hereinafter referred to as "expert") ), and the expert information received from the expert terminal (e) includes information on the consulting field, consulting available area, task performance, affiliation, academic background, major, and contact information.

The operator terminal (u) means the terminal of a company or individual (hereinafter referred to as the "business operator") who intends to participate in the R&D project, and the operator information received from the operator terminal (u) includes the business type, technology field, technology level, It includes information on production capacity, task performance, core competency elements, location, contact information, and areas requiring consulting.

Here, the professional terminal (e) and the operator terminal (u) are, for example, a wireless communication device that guarantees portability and mobility, and includes a Personal Communication System (PCS), a Global System for Mobile communications (GSM), and a Personal Digital Cellular (PDC). , PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband) Internet) may include all types of handheld-based wireless communication devices such as terminals. In addition, the professional terminal (e) and the operator terminal (u) may include a general PC such as a laptop, a desktop, and a laptop equipped with a web browser.

In more detail, the above-described server unit 110 includes a communication unit 111 , a storage unit 112 , an operation unit 113 , and a substrate unit 114 .

The communication unit 111 enables the expert terminal (e) and the operator terminal (u) to access a user interface to be described later through the network, receives expert information from the expert terminal (e), and business operator information from the operator terminal (u) and content, and is electrically connected to a storage unit 112 to be described later.

Here, the network supported by the communication unit 111 is a wired network such as a local area network (LAN), a wide area network (WAN), or a value added network (VAN) or a mobile communication network (Mobile Radio Communication). Network) or any kind of wireless network such as a satellite network.

In addition, the content in the present invention refers to Hangul and Hangul (.hwp) of Computer Corporation, Word (.docx) of Microsoft Corporation, Excel (.xlsx), PowerPoint (.pptx), etc. It includes documents (task proposals, work plans, etc.) that are written in a document editing program and that must be submitted to the relevant institution when applying for tasks and performing tasks, and video filmed and edited for submission to the institution when applying for tasks and performing tasks.

The storage unit 112 stores the received expert information, business information, and content, and is electrically connected to the communication unit 111 and the operation unit 113 to be described later.

Here, the storage unit 112 includes a hard disk drive, a flash memory, an electrically erasable programmable read-only memory (EEPROM), a static RAM (SRAM), a ferro-electric RAM (FRAM), a phase-change RAM (PRAM), and a magnetic memory (MRAM). It may be provided as a non-volatile memory such as a RAM) or a volatile memory such as a dynamic random access memory (DRAM), a synchronous DRAM (SDRAM), or a double speed DRAM (DSDRAM).

Meanwhile, the content stored in the storage unit 112 may be automatically converted (eg, automatically converted from a Hangul file (.hwp) into a PDF file (.pdf)) so that an expert can easily review it.

The calculation unit 113 provides a user interface to the expert terminal e and the user terminal, matches an expert suitable for a business operator through analysis of expert information and business information, and provides expert feedback on content in real time through the user interface. As provided, it is electrically connected to the above-described storage unit 112 .

In more detail, the calculation unit 113 includes a UI providing module 113a, an expert matching module 113b, a feedback providing module 113c, a correction and correction module 113d, and a payment management module 113e. do.

The UI providing module 113a provides a user interface to the expert terminal (e) and the operator terminal (u), and the user interface is a graphic user interface (GUI), a web-based interface (Web User Interface, WUI) etc. may be provided.

The expert matching module 113b matches an expert suitable for a business operator through analysis of expert information and business information. In more detail, the expert matching module 113b includes a classification module 113b1, an analysis module 113b2 and , and a matching module 113b3.

The classification module 113b1 categorizes expert information by category, and the expert information is classified by consulting field, consulting available area, number of business performance, academic background, and major, and may be output on a corresponding page of the user interface.

The analysis module 113b2 analyzes expert information to extract keywords, and extracts keywords by analyzing expert information through text mining. contains modules.

The pre-processing module pre-processes the expert information stored in the storage unit 112. After performing a tokenization operation that divides the text of the expert information into token units, the stopword removes meaningless word tokens. ) to perform the removal operation. After that, a POS logging operation is performed to distinguish which words of each word of the tokenized expert information are used. At this time, tokenization of expert information and removal of stopwords may be performed through a module such as Konlpy or a stopword dictionary, but is not necessarily limited thereto.

According to the pre-processing module as described above, since the noise of expert information is removed, it is possible to effectively reduce the load on the extraction module, which will be described later, and to improve the accuracy of the keyword extraction operation.

The extraction module extracts keywords from expert information pre-processed in the pre-processing module, and extracts a plurality of keywords with the highest values using the TF-IDF (Term Frequency-Inverse Document Frequency) method.

More specifically, the TF-IDF method is a method of weighting the degree of importance for each word in the document-word matrix using the word frequency and the inverse document frequency. First, the extraction module forms a Document-Term Matrix (DTM) with TF as an element in the preprocessed expert information. Here, TF (Term Frequency) means the number of frequencies in which a specific word is included in each of the preprocessed expert information, and as the value of TF increases, it means that the word corresponding to the TF can be considered as a keyword.

Thereafter, the extraction module assigns weights by multiplying the above-described TF by IDF, which is a weight value for the importance degree of each word, and then extracts the word having the highest TF-IDF value as a keyword. Here, DF (Document Frequency) means the number of documents in which a specific word appears, and a value inversely proportional to DF is called IDF (Inverse Document Frequency). means it can be

IDF can be calculated through the following equation.

In the above formula, d denotes a specific document and t denotes a specific word.

Meanwhile, as shown in FIG. 5 , the extraction module may increase keyword extraction performance by using a Text-CNN (Convolutional Neural Network) deep learning algorithm. In this case, the extraction module may exclude words (non-important words) whose TF-IDF value is lower than a preset value from learning.

Text-CNN is a model that applies the CNN model used in the existing image data to text data. In more detail, first, in order to apply the existing CNN model to text data, a word embedding process of numerically vectorizing words is performed. After that, when a word is expressed as a vector, a word is expressed as an n-dimensional vector. That is, a sentence with m words is expressed as a matrix of m*n, and the extraction module applies a convolution layer to this matrix, passes through an activation layer, a pooling layer, etc., and finally derives a keyword through Softmax. However, the extraction module can increase the accuracy of keyword extraction by repeatedly learning this process.

The matching module 113b3 determines an expert matched with a business operator by comparing and analyzing at least one keyword extracted from the expert information with business information, and is electrically connected to the analysis module 113b2.

Meanwhile, matching in the matching module 113b3 may be performed using a cosine similarity method.

In more detail, the matching module 113b3 constructs the document-word matrix again with the keywords of the expert information extracted in the above-described extraction module (becomes the feature vector A), and after constructing the document-word matrix of the business operator information ( Feature vector B) The cosine similarity is calculated. At this time, when the calculated cosine similarity value is greater than or equal to a preset value, the matched expert is transmitted to the corresponding page of the user interface so that the operator can check the matched expert.

The cosine similarity of the two feature vectors A and B is expressed as follows.

According to the matching module 113b3 as described above, when the operator inputs only basic information, there is an effect that an expert suitable for the situation of the operator can be automatically matched.

The feedback providing module 113c provides expert feedback on content in real time through a user interface, and the feedback providing module 113c may provide feedback by changing the mode of the user interface according to the type of content. .

Here, “Feedback” means advice provided by experts so that operators can correctly create or produce content such as documents or videos, and the mode of the user interface is provided for each case in which the content is a document or video. It means that the module of the simulation is switched.

The feedback from the feedback providing module 113c may be output on the user interface screen described above. At this time, as shown in FIG. 3 , the user interface includes a first layer 11 and a second layer l2 and , a third layer l3 and a fourth layer l4.

The first layer l1 is an area in which a plurality of tabs are formed so that a business operator or an expert can check and manage matters related to the content currently being reviewed. , My Contents tab where you can check all the uploaded business data, the Expert Selection tab where you can check the list of matched experts and additional selection (or additional matching) of experts, Payment Information tab, page where you can check payment information Click the Feedback tab for each page where you can check the individual feedback, the Feedback tab for each member where you can check the feedback for each member, the References tab to check the reference material, the View announcement tab for the task where you can check the notice about the task, and the contents. A content upload tab capable of uploading content, a content download tab capable of downloading content, and the like may be formed.

Meanwhile, for security of uploaded and reviewed content, when an expert receives a download through the above-described tab, a real-time notification may be transmitted to the operator in a pop-up manner.

The second layer l2 is a region in which the table of contents of a document or image is summarized, and paragraphs corresponding to each table of contents can be linked so that the contents displayed in the third layer l3 to be described later can be easily reviewed. .

The third layer 13 is an area in which content uploaded by a business operator is displayed, and as described above, when the content is a document or an image, a simulation module provided according to each can be switched.

The fourth layer 14 is an area where expert feedback is provided, and after experts matched in the expert matching module 113b (or selected by the operator) read the registered contents, real-time evaluation and feedback for each contents is an area that provides

At this time, in the form of feedback provided, not only One-Point feedback (comment) in the form of comments, but also voice or video feedback through a separate space within the layer (or through a separate window) are provided. Also, feedback may be provided to the operator through e-mail and text messages.

The correction and correction module 113d corrects and supplements content according to feedback, and provides an editing area or an editing module in which document or video content can be edited. At this time, the operator can directly modify the content using the editing module according to the feedback provided, and by reflecting the feedback content at the request of the operator, an expert in the field or the correction and correction module 113d can revise and supplement the content. can do.

The payment management module 113e manages the payment of the expert's feedback cost, and this payment management module 113e is a feedback cost that is settled according to the amount of content (number of pages, image length, etc.) through an external escrow service. You can make payments for

The board unit 114 is a board on which the communication unit 111, the storage unit 112, and the operation unit 113 described above are installed, and is provided as a printed circuit board (PCB) board and installed inside the case of the server unit 110 . do.

On the other hand, as shown in FIG. 6 , the substrate part 114 is installed in a specific part inside the case through the fastening member b. At this time, the fastening member (b) is screwed into the insertion hole (h) formed in the substrate part 114. When the fastening member (b) is repeatedly screwed for maintenance of the substrate part 114, Since the diameter of the insertion hole (h) is increased, the fastening member (b) cannot be firmly coupled and the substrate part 114 may be shaken inside the case. In this case, the substrate part 114 cannot be used, so there is a problem in that the entire substrate part 114 needs to be replaced.

Therefore, as shown in FIG. 7 , after the installation space S is formed in the substrate part 114 , a separate replacement module 114a having an insertion hole h formed therein is installed in the installation space of the substrate part 114 ( If the substrate part 114 is configured to be inserted in a sliding manner in S), the existing substrate part 114 can be continuously used only by replacing the replacement module 114a without replacing the entire substrate part 114. There is an advantage.

On the other hand, the replacement module 114a is more specifically, as shown in FIG. 8 , the base part 114a1 in which the insertion hole h is formed, and the base part 114a1 from one side of the base part 114a1. It may include a protrusion (114a2) that protrudes to a thickness less than the thickness, and a wing part (114a3) that is installed to be slidable by an external force on both sides of the base part (114a1), and the installation space of the substrate part (114) (S) may be formed to correspond to the protrusion (114a2) and the wing (114a3).

According to the structure of the replacement module 114a, when the replacement module 114a is replaced, the protrusion 114a2 is first moved to the front installation space S while the wing portion 114a3 is moved into the base portion 114a1. After inserting, when the base portion 114a1 is placed in the center of the installation space S, and then the wing portions 114a3 are slid to both sides and inserted into the side installation space S, the replacement module 114a is moved to the substrate without shaking. There is an effect that can be fixed to the portion (114).

According to the user interface-based content feedback system 100 according to an embodiment of the present invention including the server unit 110, the operator terminal (u), and the expert terminal (e) as described above, advancement through expert feedback Since it is possible to produce content in the form of a given content, it is expected that the selection rate for R&D projects can be significantly increased.

In addition, according to the present invention, a new non-face-to-face collaboration model can be built through voluntary participation between experts and business operators.

In addition, according to the present invention, there is an effect that it is possible to produce content in a standardized form, and there is an effect that can improve the content creation ability of a business operator.

Meanwhile, the user interface-based content feedback system 100 according to an embodiment of the present invention may further include a block chain unit 120 .

The block chain unit 120 digitally prints the content at the point in time when correction and supplementation is completed after feedback (that is, before the final submission), converts it into a block chain, and distributes and stores it to a plurality of nodes, and the server unit 110 ) and a network, and can be composed of a group of terminals having a plurality of mutually networkable nodes so that the generated block chain data can be distributed and stored.

According to the block chain unit 120, even if a system administrator or a third party manipulates the information stored in any one node, the unmanipulated information remains in the remaining nodes, so that the operation can be fundamentally blocked, and the verification of the information For this, there is an advantage that the verification of information is free because only access to the block chain unit 120 is required.

When the blockchain technique is applied to all received content or digital fingerprints for all received content, the speed of computational processing is significantly delayed. The blockchain unit 120 is configured to block-chain this after inserting a digital fingerprint only in the content at the point in time when correction and supplementation is completed after feedback, paying attention to this point. According to the block chain unit 120, it is possible to significantly reduce the block chain operation processing, and it is also possible to significantly reduce the data storage space.

In addition, when forgery verification is performed only for the specified digital fingerprint at the time when correction and supplementation is completed after feedback, a third party obtains a digital fingerprint that identifies the content and then modulates and abuses it. situation can be effectively avoided.

On the other hand, digital fingerprint printing in the block chain unit 120 may be processed in a TSA (Time Stamping Authority) method.

The TSA service registers the hash value of data (generally an electronic document such as PDF) with a CA (Certificate Authority) institution or a third party company, receives the result value, inserts it into the original data, and stores it After that, it means a series of processes to be verified later. Organizations implementing the TSA service must receive the hash value of the data, store it in an independent storage with high security, and return a unique value corresponding to it.

However, if the hash value of data is entrusted to a CA institution or a third party, it becomes dependent on that institution or company. This is because the institution creates a token corresponding to the data hash value and verifies the authenticity using the token. In addition, in order to use the TSA service, overseas users must subscribe to the corresponding domestic service, so there is a problem in that it is difficult to register documents and verify documents afterwards.

If the TSA service is configured based on the blockchain, it is possible to avoid dependence on the TSA provider by sharing the hash function of the data hash value. In addition, if the TSA service is configured based on the block chain in this way, internationality can be secured because simply accessing the block chain server is required for data hash registration and document verification.

The TSA processing operated in the block chain unit 120 is as follows in more detail. First, the block chain unit 120 receives and registers the first hash value of the content at the time when the correction and supplementation are completed after the feedback stored in the storage unit 112 . Thereafter, the block chain unit 120 generates a second hash value by reflecting the information on the standard time transmitted from the outside in the first hash value. After that, the block chain unit 120 adds and stores the result value (digital fingerprint) of digitally signing the generated second hash value with the secret key, and then returns it again.

According to the data processing of the TSA method of the block chain unit 120 as described above, since it is confirmed that the content of the content at the point in time when the correction and supplementation is completed after the feedback exists as a specific content, the content is stored at a later point in time. Even if it is operated, it can be easily checked whether the operation has been performed.

In the above, even though it has been described that all components constituting the embodiment of the present invention operate by being combined or combined into one, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all of the components may operate by selectively combining one or more.

In addition, terms such as "include", "compose" or "have" described above mean that the corresponding component may be inherent unless otherwise stated, so excluding other components Rather, it should be construed as being able to include other components further. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless otherwise defined. Terms commonly used, such as those defined in the dictionary, should be interpreted as being consistent with the contextual meaning of the related art, and are not interpreted in an ideal or excessively formal meaning unless explicitly defined in the present invention.

And, the above description is merely illustrative of the technical idea of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains.

Therefore, 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. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

100: user interface-based content feedback system according to an embodiment of the present invention
110: server unit
e: expert terminal
u: operator terminal
111: communication department
112: storage
113: arithmetic unit
113a: UI providing module
l1: first layer
l2 : 2nd layer
l3 : 3rd layer
l4 : 4th layer
113b: expert matching module
113b1 : Classification module
113b2: analysis module
113b3 : Matching module
113c: feedback providing module
113d: Modification and correction module
113e: payment management module
114: substrate part
b: fastening member
S : installation space
114a: replacement module
114a1: base part
114a2: protrusion
114a3: wing
120: block chain unit

Claims (5)

a communication unit for receiving expert information from an expert terminal and receiving business information and contents from the business terminal;
a storage unit for storing the received expert information, business information and contents; and
Providing a user interface to the expert terminal and the operator terminal, matching an expert suitable for the operator through analysis of the expert information and the operator information, and providing expert feedback on the content through the user interface in real time including an arithmetic unit;
The content is
It is prepared as either a document or an image that must be prepared when performing R&D tasks,
The calculation unit,
A UI providing module for providing a user interface to the expert terminal and the operator terminal, an expert matching module for matching an expert suitable for the operator through analysis of the expert information and the operator information, and the user interface to provide the feedback in real time a feedback providing module that provides the feedback by changing a user interface mode according to the type of content, a correction and correction module that corrects and supplements the content according to the feedback, and manages payment for feedback costs Includes a payment management module,
The user interface is
a first layer in which a plurality of tabs related to the content are formed, a second layer in which a table of contents uploaded by a business operator is summarized, and a third layer in an area in which the content uploaded by the business operator is displayed; Including the fourth layer, which is an area where expert feedback on content is provided,
The first layer is
The Contents under Evaluation tab where you can check the content currently being evaluated, the My Contents tab where you can check the entire contents of the uploaded operator, and the Expert Selection tab where you can check the list of matched experts and additionally select experts; , a page-by-page feedback tab where you can check the feedback for each page, a feedback tab for each expert where you can check the feedback for each expert, a task announcement view tab where you can check a job announcement, and a reference material tab to check reference materials; A content upload tab for uploading the content and a content download tab for downloading the content are formed;
The expert matching module is
A classification module for classifying the expert information by category, an analysis module for extracting keywords by analyzing the expert information, and an expert matching with a business operator by comparing and analyzing at least one keyword extracted from the expert information with the business information including a matching module to determine
The analysis module,
A pre-processing module for pre-processing the expert information, and an extraction module for extracting keywords from the pre-processed expert information,
The extraction module,
Extracting a plurality of keywords with high values using the TF-IDF (Term Frequency - Inverse Document Frequency) method,
The matching module is
A document-word matrix is constructed using the extracted keywords of the expert information, and a cosine similarity is calculated after constructing the document-word matrix of the operator information. When deciding which expert to match with the operator,
The feedback providing module,
providing the feedback by changing a user interface mode according to the type of content;
The correction and correction module,
A user interface-based content feedback system, characterized in that it provides an editing module that allows the content to be directly edited by a business operator or an expert on the third layer. delete delete delete The method according to claim 1,
The payment management module,
A content feedback system based on a user interface, characterized in that the payment for the feedback cost is managed through an escrow service.

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