KR101984937B1 - 3 dimensions digital timeline output system of traditional culture - Google Patents

Abstract

The present invention relates to a system receiving new traditional cultural content data and automatically learning and classifying the received data to automatically display a 3D digital chronology. The system performs: an operation of collecting structured and unstructured data through each traditional culture site; an operation of loading the collected content to be mapped to a cultural content data warehouse (CCDW) of a data storage unit; an operation of extracting time data among characteristics of the traditional cultural content and generating a basic digital chronology based on the extracted time data; an operation of performing mapping between the digital chronology and the content based on the time data and content interconnection network analysis; and an operation of visualizing and outputting content mapped with the basic digital chronology. The digital chronology visualized in 3D is configured to dispose a timeline indicating era and time in a y-axis direction, dispose a plurality of classification categories in a x-axis direction, and allow a plurality of sets of content each corresponding to the plurality of classification categories to be arranged in the y-axis direction to be mapped on the timeline such that it is possible to automatically display the digital chronology display system to provide an information user with a systematic classification and search function and a traditional cultural convergence service.

Description

Traditional culture 3D digital timeline expression system {3 DIMENSIONS DIGITAL TIMELINE OUTPUT SYSTEM OF TRADITIONAL CULTURE}

The present invention relates to a system for receiving new traditional culture content data, automatically learning and classifying the input data, and automatically displaying a 3D digital timeline.

As individuals, people interact and interact with others as they live as members of their families, schools, communities, workplaces, countries, and worlds. Recently, as a member of a country or society, there is a lack of understanding of things such as religion, race, region, and ethnicity while interacting smoothly with others. Culture education is urgently needed.

Traditional culture encompasses the general pattern of a country, humanity, or race that has lived in the past and may include such things as thoughts, costumes, languages, religions, rituals, norms of law or morality and values.

Recently, due to the development of mobile communication technology as well as wired and wireless Internet, an internet environment in which all regions are connected to the Internet is being provided. The wired or wireless Internet is connected to all devices in homes, businesses, and government agencies through Wi-Fi or other local area networks and wired networks.

However, despite the development of information and communication technology, no system or platform that provides a systematic classification and retrieval function for traditional culture has yet been provided.

Republic of Korea Patent No. 10-1045850 (registered as of June 27, 2011) Republic of Korea Patent Registration No. 10-1864401 (registered as of May 29, 2018)

Various embodiments of the present invention are to solve the above problems, by establishing a traditional culture content classification system to automatically display the digital timeline presentation system, providing a systematic classification and retrieval function to information users, as well as traditional culture convergence services The purpose is to provide a 3D digital timeline presentation system to provide a.

Traditional culture 3D digital timeline expression system according to various embodiments of the present invention, the traditional culture related to traditional culture-related image content, images, and text content atypical content, and stores the standardized content integrated with the existing standardized content It includes a data storage unit defined as a content data warehouse (CCDW), the ability to collect a plurality of traditional culture content published from an external device, the ability to classify and store the collected traditional culture content, stored Based on the traditional culture content, providing a function to automatically generate a digital timeline, the function of generating a digital timeline, collecting the structured and unstructured data through each traditional culture site, the traditional culture of the data storage unit To be mapped to the Content Content Warehouse (CCDW). Loading the collected content, extracting time data from the characteristics of traditional culture content, generating basic digital timeline based on the extracted time data, and performing digital timeline and content mapping according to time data and content network analysis And an operation of visualizing and outputting the contents mapped with the basic digital timeline in 3D, wherein the timeline representing the time and the time in the Y-axis direction is arranged and the X-axis direction is arranged in the Y-axis direction. A plurality of classification categories are arranged and arranged in the Y-axis direction so that a plurality of contents corresponding to each of the plurality of classification categories are mapped to the timeline.

In the traditional culture 3D digital timeline presentation system according to various embodiments of the present invention, by establishing a traditional culture content classification system to automatically display the 3D digital timeline presentation system, providing a systematic classification and search function to the information user, Cultural convergence services can be provided.

1 is a schematic diagram of a traditional culture 3D digital timeline presentation system according to an embodiment of the present invention.
2 is a block diagram illustrating in more detail a platform according to an embodiment of the present invention.
3 is a conceptual diagram illustrating a method of collecting traditional culture content of the content collector.
4 is a block diagram of a content collecting unit.
5 is a block diagram for explaining the function of the content classification unit.
6 is a flowchart illustrating the operation of the content classification unit.
7 is a flowchart illustrating an object recognition method of a content classification unit.
8 is a flowchart illustrating a digital timeline generation function of the platform according to an embodiment of the present invention.
9 is an illustration of a basic digital timeline generated by the system of the present invention.
10 is another example of a basic digital timeline generated by the system of the present invention.
11 is an example of a related content display screen mapped and visualized with a basic digital timeline.
12 is an illustration of a search main screen provided to a user in accordance with the system of the present invention.
13 is an example of a screen for providing a content map provided to a user according to the system of the present invention.
14 is an example of a guide screen illustrating a method of operating a digital timeline.
15 is an illustration of a digital timeline providing screen according to an embodiment of the present invention.
16A to 16C illustrate examples of viewing content by manipulating the digital timeline of the present invention.
17 is an example of a detail page displayed by selection of a specific meta information icon included in a content popup window.
18 is an illustration of a knowledge relationship diagram for content displayed by selection of a specific meta information icon included in a content popup window.
19 is an example of multimedia material displayed by selection of a specific meta information icon included in a content pop-up window.

The above objects, features, and advantages will be described in detail with reference to the accompanying drawings, whereby those skilled in the art to which the present invention pertains may easily implement the technical idea of the present invention. In describing the present invention, when it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic configuration diagram of a traditional culture 3D digital timeline presentation system 1 according to an embodiment of the present invention. 2 is a block diagram illustrating in more detail the platform 20 according to an embodiment of the present invention.

1 and 2, a system according to an embodiment of the present invention includes a traditional culture content 10, a traditional culture 3D digital timeline presentation platform 20 (hereinafter “platform”), and a user 30. do.

The traditional culture content 10 may include content classified into the traditional culture prototype 11 such as tangible / intangible cultural assets, documentary cultural heritage, museum collection heritage, and history / personal stories. In addition, the traditional culture content (10) is the Korean National Information Center (www.kculture.or.kr), culture content.com (www.culturecontent.com), e-museum (www.emuseum.go.kr), or Korean history integration. The information system (www.koreanhistory.or.kr) may include a knowledge content 12 that can be viewed through a web page. In addition, the traditional culture content 10 may include a culture convergence content 13 published through broadcast, film, music, games, cartoons, characters, edutainment, the Internet, and the like.

According to an embodiment, the traditional culture content 10 is divided into unstructured data and structured data. Unstructured data is unformatted data without meta information. For example, the unstructured data may be data such as video, images, audio that is distributed or shared through social networking services (SNS) such as Facebook, Twitter, and the like. The formal data refers to data having a predetermined format with meta information, and means, for example, titles, cultural descriptions, and content IDs related to traditional culture.

The platform 20 collects traditional culture content 10 information, and based on the collected information, the traditional culture standardization function, intelligent search function, extension of search through content association and spatiotemporal information, digital timeline generation function, etc. To provide.

The user 30 includes a general user, a collaborative user, a traditional culture expert, and the like.

Referring to FIG. 2, the platform 20 includes a content collection and classification unit 100, a data storage unit 200, and a digital timeline generation unit 300.

The content collection and classification unit 100 includes a content collection unit 101 and a content classification unit 102 (see FIG. 5). The content collecting unit 101 and the content classifying unit 102 are configured to collect a plurality of contents published on an external web site and classify the plurality of collected contents. The content collecting unit 101 may use a web crawler method to collect a plurality of contents published on an external web site. The content classification unit 102 classifies text or images into designated categories using a text classification algorithm, an image classification algorithm, or the like. Designated categories may include, for example, politics, religion, art, customs, clothing, dancing, or funerals. The content classification unit 102 analyzes the structure of the content in the form of text or image, and classifies the traditional culture content by comparing the analyzed structure with a previously stored unique number system.

The data storage unit 200 is a component that stores the content classified by the content collection and classification unit 100. The data storage unit 200 formalizes unstructured content such as image content, images, and text content related to traditional culture, and integrates and stores it with existing structured content (Cultural Contents Data Warehouse). Is defined as The data storage unit 200 is not a database (DB) divided for each category, but a configuration for storing traditional culture content in an integrated format.

The digital timeline generation unit 300 is a component that automatically generates a digital timeline based on the collected and classified content data. The digital timeline generator 300 generates a digital timeline through data mapping based on Dublin core, and stores the generated digital timeline in the CCDW.

Meanwhile, although not shown, the platform 20 may further include an intelligent search engine.

Intelligent search engines utilize social network analysis techniques to reveal features through the relationship structure of actors (creations), extract / map relationships between data, connect related contents according to genre / age, etc., and output the results. It is a constitution. For example, the intelligent search engine is configured to receive a query from a user, perform a search and expansion based on the received query, and output a search result. Expansion of the search means, for example, the function of providing other content related to the queried content, relationship analysis, or the like. To this end, the intelligent search engine may include an ontology search unit, a keyword analysis unit, a related word search unit, and a semantic search unit.

According to an embodiment, the intelligent search engine provides a keyword extraction function for extracting a keyword from a query received from a user, an association word extraction function for extracting an associated word associated with the extracted keyword, and an index based on the keyword and the related word. It can provide keyword and association indexing.

3 is a conceptual diagram illustrating a method of collecting traditional culture contents of the content collecting unit 101.

Referring to FIG. 3, the content collecting unit 100 collects atypical content published on an external web site. The content collecting unit 100 is configured to automatically collect content published in the form of a bulletin board through scheduling, extract meta attributes through HTML parsing and refining, and store unstructured text.

In general, data can be interlocked correctly when it is provided as an Open API that can provide standardized data. However, in case of general websites, Open API is not provided and dynamic data is provided in the form of a bulletin board. The content collecting unit 100 collects external data using a web crawler method. In order to import and use external data, it is necessary to get and parse the relevant post contents through WEB URL call and to load the parsed data in a repository such as DB or File System. And since the contents are continuously increased or modified or deleted, the contents should be monitored and imported periodically. Content collection unit 100 of the present invention is a solution for automating the overall process is configured to easily collect content through a web-based UI using a web crawler.

4 is a block diagram of the content collecting unit 101.

Referring to FIG. 4, the content collection unit 101 may include a schedule manager 110, a storage manager 120, an authentication manager 130, a job manager 140, a collection monitoring manager 150, and a collection content manager 160. , And collection statistics manager 170.

The schedule manager 110 is a configuration for designating a time for collecting traditional culture content. For example, the schedule manager 110 is configured to designate day, hour, minute, second, day of the week, and the like as a time for collecting traditional cultural content.

The storage manager 120 is a component for managing a target for storing the collected traditional culture content. The storage manager 120 sets and manages a target with a DBMS and a file system.

The authentication manager 130 is a component for confirming user management and authenticated users.

The job manager 140 is a component that manages a schedule in units of work. The task manager 140 may manage the managed tasks in group units.

Collection monitoring manager 150 is a configuration for monitoring in real time the connection information, collection status, etc. to the collection target.

The collected content manager 160 is configured to inquire and purify the collected content.

The collection statistics manager 170 is configured to query the collection statistics by a specified condition and time.

As described above, the content collection unit 101 may be a module configured based on a web crawler. The content collector 101 configured based on the web crawler may provide various functions as follows.

-Multi-threaded support by collection site

-Collect basic web documents according to page URL links on the web

-You can specify the maximum number of stored documents when setting up the web robot

-Provide a way to understand the operational status (current collection site / collection documents, etc.)

-Provide log information to check the contents of collection and extraction errors

-Ability to choose to save the attachment of the target board as a file locally or as a URL

Javascript processing in the form of substitutions defined in its own configuration file

-Cookie storing and sending function to maintain user section information when accessing site through user authentication process

-Collect collected documents in a specified directory

-Automatic URL Link generation by collection setting

-Ability to set the number of link URL depths from the seed URL to set the number of pages to be collected

-Ability to define attributes of web pages for each URL Link Depth on the web

-Ability to process URLs in the same pattern as www.domain.com == domain.com

-Ability to set only URLs with the same pattern in seed URLs to collect

-DB collection processing through collection configuration file (XML) setting of target information to collect

-In the case of a web post with an attachment, the function of collecting and storing the contents of the attachment

-HTML table analysis and parsing to extract bulletin board posts on the web

-A function to save the target information collected for each site in the thread pool to utilize system resources

-Function to support extraction by customizing the extraction target item into a specific format

-Ability to scrap and extract part of the page through context setting

-Ability to set or save the collected context as a specific target DBMS schema or to connect it (provides a multi-DBMS function that can be stored in different DBMS schemas for each website and category collected)

-Extension function to process collected target information

-Ability to save and set collected target information in various forms of DBMS

-Function to save through connection pool

-Ability to set and save with the DB table schema specified by the user

-Ability to manage collection target sites by group and set collection cycle (full collection cycle, additional collection cycle, no cycle setting, etc.)

-User can collect directly through collection setting function by each board

-Check and modify collected data stored in DB

-DB management function of setting information by managing with setting information file (XML)

-View recently collected sites and storage

-Ability to query collected log and history

-Ability to check logs by group by date

-Collection status monitoring function, collection / extraction error check function

-Ability to collect only posts newly added to previously collected posts

-Provide daily collection statistics

-Robot timer function (collected at the designated time)

5 is a block diagram for explaining the function of the content classification unit 102. 6 is a flowchart illustrating the operation of the content classification unit 102.

5 and 6, the content classification unit 102 is largely configured to perform the content classification system 210, the object recognition 220, the atypical auto tagging 230, and the automatic classification 240.

In step S10, the content classification unit 102 is a content classification system 120, and classifies the content into structured data such as title, culture description, and content ID, and unstructured data such as video, image, and audio.

In step S20, the content classifying unit 102 is an automatic classification 240, and performs feature extraction (noun extraction) from the collected content. The content classifying unit 102 excludes character symbols to process the text of the collected content, and extracts nouns through morphological analysis.

The process of extracting nouns means the process of classifying the morphemes of each sentence by morphological analysis and extracting nouns from them to create a list. Morphological analysis in natural language processing means outputting all possible analysis results for a given word. Morphological analysis is to identify the structure of various linguistic attributes, including morphemes, roots, prefix / suffixes, and part-of-speech (POS).

In step S30, the content classification unit 102 generates a category candidate group list using noun extraction. Here, each content is additionally explained in text, and the content classifying unit 102 generates a category candidate group list using noun extraction to extract keywords included in the description.

The content classification unit 102 selects a core category list with a high frequency by using the TF-IDF weight whether a specific word is frequently used in the category candidate group list.

TF-IDF (Term Frequency-Inverse Document Frequency) weight is a statistical value used to evaluate the importance of a word in a particular document in a language document.

The weight calculation assigns importance to words with a large amount of information according to information theory and uses calculation term frequency (TF) -inverse document frequency (IDF).

는 콘텐츠

에서 출현한

번째 단어의 가중치를 나타냄.

는 콘텐츠

에서

번째 단어가 나타난 빈도를 콘텐츠

에서 나타난 최대 빈도수로 정규화 한 값으로 0부터 1사이의 실수 값을 가지며,

은 총 콘텐츠의 개수를 말하고,

는

번째 자질이 나타난 데이터의 수를 말한다.Equation 1 describes the TF-IDF weight expression.

Content

Emerged from

Indicates the weight of the first word.

Content

in

The frequency at which the first word appeared

Normalized to the maximum frequency shown in, with a real value between 0 and 1.

Is the total number of content,

Is

The number of data in which the first feature appears.

In step S40, the content classification unit 102 learns the core category list by applying various classification techniques (Naive Bayesian, SVM, CNN) and applies the traditional culture content automatic classification algorithm. For example, the content classifier 102 generates a text vector for each category through a lexical vector that has passed through TF-IDF. The content classifying unit 102 classifies and learns the generated category-specific text vector using an SVM algorithm. Support Vector Machine (SVM) is one of the field of machine learning. It is a binary linear classification model that determines which category the data belongs to.

Alternatively, the content classifier 102 may select a feature using a convolutional neural network (CNN), which is one of types of deep learning. CNN is a type of multilayer perceptrons designed to use minimal preprocessing. CNN consists of one or several convolutional layers and a common artificial neural network layer on top of it, which utilizes additional weights and pooling layers.

In step S50, when the new traditional culture content data is input, the content classification unit 102 classifies the integrated data classification system through the automatic traditional culture content classification technology learned through the classification technique.

7 is a flowchart illustrating an object recognition method of the content classification unit 102.

Referring to FIG. 7, the content classifying unit 102 uses two algorithms, Boyer-Moore and Knuth-Morris-Pratt, which are fast and excellent in string search in recognizing a text data entity.

Specifically, the content classification unit 102 is divided into three types of data to be recognized for recognizing the proper noun object of the traditional culture: text 71, image 72, and video 73.

The content classifying unit 102 applies a text search algorithm to the text 71 to be recognized, and cross-verifies the extracted text and the stored data (eg, a unique code). The content classifying unit 102 classifies the proper noun object when the cross validation of the text is completed.

The content classifying unit 102 captures and recognizes the image 72 that is a recognition target, and converts and extracts text from the image by applying an image captioning algorithm. The content classifying unit 102 classifies the converted text into proper noun objects by applying the same algorithm as the text 71 to be recognized.

The content classifying unit 102 performs an algorithm for extracting a specific key frame from the video 73, which is a recognition target, and when the key frame is extracted, applies a image captioning algorithm to the corresponding key frame, and converts and extracts the text or the video. The color histogram algorithm is applied to classify extracted vector components and stored data into proper nouns.

8 is a flowchart illustrating a digital timeline generation function of the platform 20 according to an embodiment of the present invention. 9 is an illustration of a basic digital timeline generated by the system of the present invention. 10 is another example of a basic digital timeline generated by the system of the present invention. 11 is an example of a related content display screen mapped and visualized with a basic digital timeline. Hereinafter, the digital timeline generation function of the platform 20 according to the embodiment of the present invention will be described with reference to FIGS. 8 to 11.

In step S401, the digital timeline generator 300 collects traditional culture content for generating a digital timeline through the content collection and classification unit 100.

In step S402, the digital timeline generation unit 300 loads the collected content to be mapped to the CCDW of the data storage unit 200.

In step S403, the digital timeline generation unit 300 extracts time data from the characteristics of the traditional culture content, and generates a basic digital timeline based on the extracted time data. For example, the digital timeline generator 300 extracts timeline data through a day or weekly arrangement to proceed with the timeline creation process. According to an embodiment, as shown in FIG. 9, the basic digital timeline 601 may be generated as a table arranged in the vertical direction in chronological order according to the criteria of age, era, country, and event. According to another embodiment, as shown in FIG. 10, the basic digital timeline 602 may be generated in a table arranged in the horizontal direction in chronological order according to the criteria of age, era, country, and event. In addition, the basic digital timeline 602 may be provided so that the timeline may be selected by period, such as ancient times, the Three Kingdoms Period, the North and South Korea Periods, the Korea Period, the Joseon Period, and the Modern Age.

In step S404, the digital timeline generation unit 300 performs digital timeline and content mapping according to time data and content network analysis. Content mapping may be performed in an automatic mapping manner. Alternatively, the digital timeline generation unit 300 may be set to enable modification of content mapping through participation of experts or users.

In step S405, the digital timeline generator 300 visualizes and outputs contents mapped to the basic digital timeline. At this time, the digital timeline provided to the user is output by mapping the content on the timeline. For example, as shown in FIG. 11, the digital timeline generation unit 300 is set to provide a content map 603 provided through content relationship analysis when content is selected by a user. Alternatively, the digital timeline generator 300 may be set to move to the corresponding content page when the content is selected by the user.

Hereinafter, a digital timeline and a user interface thereof according to an embodiment of the present invention will be described in more detail.

12 is an illustration of a search main screen provided to a user in accordance with the system of the present invention.

Referring to FIG. 12, the search main screen 1200 may include an input window 1201 for inputting a search word and a time search button 1202 for executing a time search function based on the search word. For example, if a user enters 'Yi-Shin' as a search term in the input window 1201 and then searches, the system of the present invention may provide a content map 603 related to 'Yi-Shin' in response to the user input. . Alternatively, when the user inputs 'Yi-Shin' as a search term in the input window 1201 and then presses the time-line search button 1202, the system of the present invention may provide a digital time-sheet related to 'Yi' in response to the user input. have.

According to an embodiment, the recommended content 1203 may be provided below the input window 1201 in the search main screen 1200. The recommended content may be, for example, a search word ranked above the search ranking, a search word previously input by the user, or a search term in a field similar to the search word previously input by the user.

13 is an example of a screen for providing a content map provided to a user according to the system of the present invention.

Referring to FIG. 13, the system may provide a content map 1301 (eg, 603) based on a user's search word input. For example, if a user enters 'Yi-Shin' as a search term in the input window 1201 and then searches, the system of the present invention may provide a content map 603 related to 'Yi-Shin' in response to the user input. . In this case, the system of the present invention may provide a button 1302 for displaying a digital timeline associated with the search word on a screen displaying the content map 1301. For example, the button 1302 may be located in an upper menu on a screen displaying the content map 1301.

14 is an example of a guide screen illustrating a method of operating a digital timeline.

Referring to FIG. 14, in response to receiving a digital timeline display request from a user of the digital timeline generation unit 300 of the present invention, a guide screen 1400 for explaining a method of operating a digital timeline as an initial screen may be provided. . The guide screen 1400 may be, for example, a first guide phrase 1401 of a manipulation method using a touch or a mouse, a second guide phrase 1402 of a manipulation method using a scroll, and / or an operation using a direction key of a keyboard. The third guidance phrase 1403 of the method may include.

15 is an illustration of a digital timeline providing screen according to an embodiment of the present invention.

Referring to FIG. 15, the digital timeline generation unit 300 according to an embodiment may provide a digital timeline in a 2D or 3D manner, and as shown in FIG. 15, a digital timeline in a 3D manner may be more intuitive as shown. 1500 may be provided.

In the digital timeline 1500, a timeline 1503 indicating an age and time is disposed in the Y-axis direction (eg, the vertical direction), and a plurality of classification categories 1502 are disposed in the X-axis direction (eg, the horizontal direction). The plurality of contents 1602 corresponding to each of the plurality of classification categories 1502 are arranged in the Y-axis direction (eg, the vertical direction) to be mapped to the timeline 1503.

In some regions of the digital timeline 1500, a selection menu 1501 may be arranged to allow a user to set a plurality of classification categories 1502. For example, the selection menu 1501 may be disposed on the upper right side of the digital timeline 1500 and may include a function of adding and deleting a plurality of classification categories 1502. When the user designates the classification category 1502 through the selection menu 1501, the designated classification category 1502 may be arranged and generated in the X axis direction (eg, horizontal direction) at the bottom of the digital timeline 1500. . According to a preferred embodiment, the plurality of classification categories 1502 may include a person, and the content related to the person may be arranged to be the central axis of the digital timeline 1500.

More specifically, for example, when the user selects 'document' and 'person' through the selection menu 1501, the 'document' is included in the plurality of classification categories 1502 in the X-axis direction (eg, the horizontal direction). And only 'personality' are expressed, and 'heritage', 'place' and 'event' are not expressed. That is, only the classification category selected by the user through the selection menu 1501 may be displayed.

In some other areas of the digital timeline 1500, an age shift menu 1505 may be disposed to allow the user to move the timeline 1503 to a predetermined age. For example, the period movement menu 1505 may include a designated era such as prehistoric times, three kingdoms, unified Silla, Goryeo, Chosun, Japanese colonial period, and modern and contemporary history, and the user may select one of the specified eras. When selected, the timeline 1503 may be moved to the corresponding era and displayed.

The digital timeline 1500 may be arranged in a space in which the contents 1602 mapped to the timeline 1503 are formed in a 3D timeline in a 3D road view format, and the user scrolls up and down through a mouse or touch input. In the case of 1506, the times may move and be displayed. For example, when the user scrolls upward, the digital timeline 1500 moves in the forward direction in the space, while the timeline 1503 changes to the past, and the user scrolls downward. The timeline 1503 may change into a future era while the timeline 1500 moves in a backward direction in the space.

In the area of the digital timeline 1500, a search window 1504 is disposed at an upper end of the time movement menu 1505, which is used when moving the timeline search using the corresponding keyword.

For example, searching for Yi Sun Shin through the search box 1504 moves to Yi Sun Shin on the corresponding timeline among the contents 1602 mapped to the timeline 1503.

Hereinafter, a specific operation method of the digital timeline 1500 illustrated in FIG. 15 will be described with reference to FIGS. 16 to 19.

16A to 16C illustrate examples of viewing content by manipulating the digital timeline of the present invention.

The plurality of contents 1504 are mapped to the timeline and arranged in the form of a node, and when a user selects an arbitrary node, a content pop-up describing content corresponding to the node may be displayed.

For example, as illustrated in FIG. 16A, the content popup may include a person content popup 1601 for explaining the person content. For example, if the user searches for 'Yi-Shin', the nodes related to 'Yi-Shin-Shin' are located in the center of the digital timeline screen 1600, and the user selects the contents of any one of the nodes related to Yi-Shin through the mouse or touch. 1504, a person content popup 1601 may be generated that summarizes and displays meta information related to 'Yi Sun Shin'. In this case, when the user selects or cancels another content, the person content popup 1601 may be closed.

As another example, referring to FIG. 16B, a plurality of classification categories 1502 may include an event in an X-axis direction (eg, a horizontal direction), and the content popup may include an event content popup 1603 for describing the event content. It may include. For example, when a user searches for 'Yi Sun Shin', nodes related to Yi Sun Shin are located in the center of the digital timeline screen 1600, and nodes related to events related to 'Yi Sun Shin' are located on one side of the digital timeline screen 1600. Can be located. If the user selects Hansan Battalion as an event related to 'Yi Sun Shin', an event content popup 1603 may be generated that summarizes and displays meta information related to 'Hansan Battalion'.

As another example, referring to FIG. 16C, a plurality of classification categories 1502 may include an event in an X-axis direction (eg, a horizontal direction), and the content popup may include an artifact content popup 1604 for describing the artifact content. It may include. For example, when a user searches for 'Yi Sun Shin', nodes related to 'Yi Sun Shin' are located in the center of the digital timeline screen 1600, and nodes related to artifacts related to 'Yi Sun Shin' are displayed on the digital timeline screen 1600. It may be located on the other side. If the user selects 'Ninja Diary' as related to 'Yi Sun Shin', the artifact content popup 1604 may be generated that summarizes and displays meta information related to 'Difficult Diary'.

17 is an example of a detail page displayed by selection of a specific meta information icon included in a content popup window.

Referring to FIG. 17, the content popup 1702 may include a detailed information icon 1703 for reading detailed meta information in addition to the description of the content corresponding to the corresponding node. For example, when the user selects the detail information icon 1703 in the content popup 1702, the digital timeline 1700 may output the detail page 1701. For example, the detail page 1701 may be generated by overlapping on the digital timeline 1700, and the size and position of the detail page 1701 may be adjusted based on the user input.

18 is an illustration of a knowledge relationship diagram for content displayed by selection of a specific meta information icon included in a content popup window.

Referring to FIG. 18, the content popup 1802 may include a knowledge relationship icon 1803 for reading knowledge relationship meta information in addition to a description of content corresponding to a corresponding node. For example, when the user selects the knowledge relation icon 1803 in the content popup 1802, the digital timeline 1800 may output the knowledge relation diagram page 1801. For example, the knowledge relationship page 1801 may be generated by overlapping on the digital timeline 1800, and the size and position of the knowledge relationship page 1801 may be adjusted based on a user input.

19 is an example of multimedia material displayed by selection of a specific meta information icon included in a content pop-up window.

Referring to FIG. 19, the content popup 1902 may include multimedia icons 1903 for reading multimedia materials in addition to the description of the content corresponding to the node. For example, when the user selects the multimedia icon 1903 in the content popup 1902, the digital timeline 1900 may output the multimedia playback page 1901. For example, the multimedia playback page 1901 may be generated by overlapping on the digital timeline 1900, and the size and position of the multimedia playback page 1901 may be adjusted based on user input.

As described above, as the traditional culture 3D digital timeline expression system according to various embodiments of the present invention, by establishing a traditional culture content classification system and automatically expressing the digital timeline expression system, systematic classification and search to information users In addition to providing functions, it is also possible to provide services for convergence of traditional culture.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood that various modifications and variations of the invention can be made without departing from the spirit and technical features of the invention as set forth in the following claims. It can be obvious to those skilled in the art.

10: Traditional Culture Content
20: Intelligent Search Platform for Convergence of Traditional Culture
30: digital timeline generator

Claims (4)

Data defined by traditional culture contents data warehouse (CCDW) that formalizes the unstructured content of traditional culture-related image content, images, and text contents and integrates and stores the structured content with existing structured content. Including a storage unit, a function of collecting a plurality of traditional culture contents disclosed from an external device, a function of classifying and storing the collected traditional culture contents, and a function of automatically generating a digital timeline based on the stored traditional culture contents and,
The function of generating the digital timeline is to collect the structured and unstructured data through each traditional culture site, and to collect the content collected to be mapped to the traditional contents content warehouse (CCDW) of the data storage unit. Loading time, extracting time data from characteristics of traditional culture content, generating a basic digital timeline based on the extracted time data, performing digital timeline and content mapping according to time data and content network analysis, and 3D visualization and output of the basic digital timeline and the mapped content,
In the digital timeline visualized in 3D, a timeline indicating an age and a time is arranged in the Y-axis direction, a plurality of classification categories are arranged in the X-axis direction, and a plurality of contents corresponding to each of the plurality of classification categories are displayed. Arranged in the Y-axis direction to map to a timeline.
In some areas of the digital timeline visualized in the 3D, a selection menu is arranged to allow the user to set the plurality of classification categories, and in another part of the digital timeline, the user can move the timeline to a predetermined time. To move the age menu,
The plurality of classification categories include a person, an event, and an artifact, wherein the person is placed in the center of the digital timeline,
The contents mapped to the timeline are arranged in a space where a three-dimensional timeline is formed in a 3D road view format, and the times of the digital timeline are displayed by moving in response to the user scrolling up and down through a mouse or a touch input.
The plurality of contents are mapped to a timeline and arranged in a node form, and when a user selects an arbitrary node, a content pop-up describing content corresponding to the node is displayed, and the content pop-up is used to describe person content. A person content popup, an event content popup for describing the event content, and an artifact content popup for describing the artifact content,
Each of the content pop-ups includes a description of content corresponding to the node, a detailed information icon for viewing detailed meta information of the node, a knowledge relation icon for reading a knowledge relationship diagram of the node, and a multimedia material of the node. Include a multimedia icon for
A search main screen including an input window for inputting a search word for the person, an event, and an artifact, and a time search button for executing a time search function based on the search word, is included in the input window. Searching by inputting a person provides a content map related to the person in response to the user input.If the user inputs a person's desired search term in the input window, and then presses a timeline search button, the user searches for a digital timeline related to the person in response to the user's input. And recommended content is provided below an input window configured in the search main screen, and the recommended content is similar to a search word ranked above a search rank, a search word previously entered by a user, or a search word previously entered by a user. Is a search term in the field, and the content map is a digital association associated with the A button for displaying a table is provided, and the button is located in an upper menu on a screen displaying a content map.
The digital timeline generation function includes a digital timeline generation unit, and the digital timeline generation unit is provided with a guide screen for explaining a method of operating a digital timeline as an initial screen in response to receiving a request for displaying a digital timeline from a user. The guide screen includes a first guide phrase of a manipulation method using a touch or a mouse, a second guide phrase of a manipulation method using a scroll, a third guide phrase of a manipulation method using a direction key of a keyboard,
The digital timeline generator provides a digital timeline in a 3D manner, and a selection menu for allowing a user to set a plurality of classification categories is disposed in a portion of the digital timeline of the 3D method, and the selection menu is located at the upper right of the digital timeline. And a function of adding and deleting the plurality of classification categories, and when a user designates a classification category through the selection menu, the designated classification category is arranged and generated in the X-axis direction at the bottom of the digital timeline. The plurality of classification categories include a person, and the content related to the person is arranged to be the central axis of the digital timeline, and a search box for moving the timeline search using the corresponding keyword is disposed at the upper end of the time shift menu in the area of the digital timeline. , If you search for a person through the search box, Go to the person in the timeline of the content,
The content popup includes a detailed information icon for reading detailed meta information in addition to a description of the content corresponding to the node, and when the user selects the detailed information icon in the content popup, the digital timeline outputs a detail page. The detail page is generated by overlapping on the digital timeline, and the size and position of the detail page can be adjusted based on user input, and the content popup is used to view knowledge relationship meta information in addition to the description describing the content corresponding to the corresponding node. A knowledge relationship icon is included, and when the user selects the knowledge relationship icon from the content popup, the digital timeline outputs a knowledge relationship page, and the knowledge relationship page is generated by overlapping on the digital timeline, based on a user input. On the Knowledge Relationships page The size and position may be adjusted, and the content popup includes a multimedia icon for viewing multimedia materials in addition to a description of content corresponding to the node. Outputs a playback page, wherein the multimedia playback page is generated by overlapping on a digital timeline, and the size and position of the multimedia playback page can be adjusted based on user input. system. delete delete delete

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