A knowledge graph-based digital museum system

Abstract

The application particularly relates to a knowledge graph-based digital museum system, which comprises three levels of a data layer, an application layer and an interaction layer. The data layer comprises a server, the server is provided with a first database and a second database, the first database stores knowledge graph data, and the second database stores corresponding data information according to the application functions of other levels of the digital museum system. The application layer comprises a data search module, a data sorting module and a function module. The data search module is used for constructing and expanding the first database. The data sorting module is used for sorting the data obtained and converted by the data search module to the second database. The function module is used for realizing the application functions of the interaction layer, and comprises a semantic algorithm part and a link algorithm part. The interaction layer comprises a webpage, a software application and a multimedia terminal. The webpage and the software application are displayed through the multimedia terminal. The multimedia terminal comprises a mobile intelligent device and a museum special display device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital museums, in particular to a digital museum system based on a knowledge graph. BACKGROUND

[0002] A museum is a place where natural and human cultural heritage is collected, displayed and studied, and is an institution, building, location or social public institution that classifies and manages collections, provides knowledge, education and appreciation for the public.

[0003] With the development of communication technology and big data intelligent technology, museums have developed from traditional physical museums to online museums, virtual museums and other forms. In the prior art, the data information of cultural relics in the online museum is mostly stored in a standard database, and the data structure is also centered on the object. The data construction method relies on cultural relic data standards. The data obtained by this construction method is in a tree structure, which has the advantage of easy storage, but the connection between data is low, and the interaction with people is also insufficient. When performing system analysis and research, the data construction method using this method has the disadvantages of complicated data query steps and ineffective storage of associated information between data.

[0004] At present, the museum field has widely contacted the "post-museum" concept proposed by Greenhill. The core of the post-museum concept is to take the audience as the core, rather than the cultural relics, to carry out research, collection, education, display and other work of the museum. The narrative mode of the museum has changed from the authoritative expert narrative of the past to the participatory narrative mode that emphasizes the personal experience and reflection of the audience. Online museums have developed rapidly, but in the construction of widely demanded online museums, the common thinking of museums has not been broken through, and the construction of online museums is still mainly the online of offline museums, because the cultural relics cannot be closely related to the current digital life of people. SUMMARY

[0005] The purpose of the present application is to provide a digital museum system based on a knowledge graph to solve the problems existing in the prior art.

[0006] The above technical purpose of the present application is achieved by the following technical scheme:

[0007] A digital museum system based on a knowledge graph, the digital museum system comprises three levels of a data layer, an application layer and an interaction layer, the data layer comprises a server, the server is provided with a first database and a second database, the first database is a basic database, the knowledge graph data is stored in the first database, and the second database is a calling database, and the second database stores corresponding data information according to the application functions of other levels of the digital museum system;

[0008] The application layer comprises a data search module, a data sorting module and a function module, the data search module is used to construct and expand the first database, the data sorting module is used to sort the data obtained and converted by the data search module to the second database, the function module is used to realize the application function of the interaction layer, the function module comprises a semantic algorithm part and a link algorithm part, the semantic algorithm part is used to realize the semantic intelligent retrieval function, the link algorithm part is used to realize the personalized knowledge recommendation function, and the semantic intelligent retrieval function and the personalized knowledge recommendation function are applied through the interaction layer platform.

[0009] The interaction layer comprises a webpage, a software application and a multimedia terminal, the webpage and the software application are displayed through the multimedia terminal, and the multimedia terminal comprises a mobile intelligent device and a museum special display device.

[0010] In further embodiments, the first database comprises structured data and unstructured data, the structured data and the unstructured data are obtained by searching and converting by the data search module, the structured data is standard cultural relic data, and the unstructured data is obtained by network searching by the data search module, and the conversion comprises converting non-graph data into graph data and converting all graph data into knowledge graph form storage.

[0011] In further embodiments, a keyword library for running of the application layer is arranged in the second database, and the data stored in the keyword library comprises node data and edge data of the knowledge graph of the first database.

[0012] In further embodiments, the semantic algorithm part comprises keyword extraction, keyword comparison and keyword combination, the keyword extraction is realized by a word segmentation tool to obtain keywords from semantics, the keyword comparison is to compare the keywords with the data in the keyword library, and the graph data with the keywords is extracted from the first database, and the keyword combination regenerates a knowledge graph by applying the application layer to display the graph data with the keywords extracted.

[0013] In further embodiments, the link algorithm part comprises keyword screening, the keyword screening is to compare the graph data corresponding to the knowledge graph data used by the application layer with the data in the keyword library to obtain all corresponding keywords, and then regenerate a knowledge graph by extracting the graph data with the corresponding keywords, and wait for the application layer to display.

[0014] In further embodiments, the link algorithm part is iteratively run, and the link algorithm part is run once for each new knowledge graph displayed by the application layer.

[0015] In a further embodiment, the second database is provided with a cache library for storing running data of web pages and software applications of the interaction layer, the running data including user login information, user usage records and user interaction data, the user interaction data being converted and expanded into the first database via the data search module.

[0016] In summary, the present application has the following advantages:

[0017] 1. The digital museum system based on knowledge graph according to the present application is based on knowledge graph technology, and through setting a data layer for storing knowledge graph, an application layer for flexibly calling graph data and an interaction layer for displaying a museum, the display process of the museum system is non-tree data display, and users can continuously deepen and extend according to their own needs during the visiting process. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a structural block diagram of the digital museum system based on knowledge graph according to the present application. DETAILED DESCRIPTION

[0019] The present application will be further described in detail below with reference to the accompanying drawings.

[0020] It should be noted that the terms "first" and "second" are only used for description purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more.

[0021] Example 1

[0022] The present embodiment discloses a digital museum system based on knowledge graph, the theme of the museum system is bronze cultural relics, the framework structure of the museum system is as shown in Figure 1 The digital museum system includes three levels of data layer, application layer and interaction layer, the data layer is used for storing bronze cultural relic data and system software and hardware data, the application layer includes various software and hardware for system running, and the interaction layer is a system interface accessible to users.

[0023] The following will be specifically described.

[0024] First, the data layer includes a server, the server is provided with a first database and a second database, the first database is a basic library, the first database stores knowledge graph data, and the second database is a calling library, the second database stores corresponding data information according to the application functions of other levels of the digital museum system.

[0025] In the embodiment, the knowledge graph data in the first database includes standard bronze cultural relic data, bronze cultural relic related data, and bronze cultural relic related event data. The bronze cultural relic related data includes excavation, exhibition, movement, and repair of bronze cultural relics. The bronze cultural relic related data is characterized in that the subject of the data is the bronze cultural relics themselves. The bronze cultural relic related event data includes learning, publicity, visiting, and research of various users. The event data is characterized in that it is directly or indirectly related to bronze cultural relics, and the subject is people. Due to the characteristics of the bronze cultural relic related event data, the knowledge graph data in the first database in the embodiment is expandable non-tree structure data. New interaction data generated by users when using the museum system can be converted into bronze cultural relic related event data.

[0026] In the embodiment, a keyword library for application layer running is arranged in the second database. The data stored in the keyword library includes node data and edge data of the knowledge graph of the first database. According to the characteristics of the graph data, the keyword library can serve as a pointer. In the face of expandable data structure, the keyword library can provide quick and accurate search guidance according to user demand, and can also provide basic support for application functions of the application layer of the system.

[0027] In the embodiment, the second database is provided with a cache library. The cache library is used to store running data of web pages and software applications of the interaction layer. The running data includes user login information, user usage records, and user interaction data. The user interaction data is converted and expanded to the first database via the data search module.

[0028] The following is an application layer. The application layer includes a data search module, a data sorting module, and a function module. The data search module is used to build and expand the first database. The data sorting module is used to sort the data obtained and converted by the data search module to the second database. The function module is used to realize the application functions of the interaction layer.

[0029] In the embodiment, the first database includes structured data and unstructured data. The structured data and the unstructured data are obtained by searching and converting by the data search module. The structured data is standard cultural relic data. The unstructured data is obtained by network searching by the data search module. The conversion includes converting non-graph data into graph data and converting all graph data into knowledge graph form storage.

[0030] In the embodiment, the function module includes a semantic algorithm part. The semantic algorithm part is used to realize a semantic intelligent retrieval function. The semantic intelligent retrieval function is applied through the interaction layer platform.

[0031] Further, the semantic algorithm part includes keyword extraction, keyword comparison and keyword combination. The keyword extraction is to obtain keywords from semantics by a word segmentation tool. The keyword comparison is to compare the keywords with data in the keyword library, and extract graph data with the keywords from the first database. The keyword combination is to regenerate a knowledge graph by the extracted graph data with the keywords for display by the application layer.

[0032] The semantic intelligent retrieval function in the embodiment is to obtain keywords from a paragraph statement input by a user, and provide corresponding cultural relic data for the user according to the keywords.

[0033] In the embodiment, the function module includes a link algorithm part for implementing a personalized knowledge recommendation function, which is applied through the interactive layer platform.

[0034] Further, the link algorithm part includes keyword screening. The keyword screening is to compare graph data corresponding to the knowledge graph data used by the application layer with data in the keyword library, to obtain all corresponding keywords, and then extract graph data with the corresponding keywords to regenerate a knowledge graph for display by the application layer. The link algorithm part is iteratively run, and the application layer displays a new knowledge graph each time the link algorithm part is run.

[0035] The personalized knowledge recommendation function in the embodiment is to provide corresponding graph data according to data browsed and searched by a user in the museum system. The process of using the museum system by the user is dynamic, corresponding to the process of the user generating interest in other cultural relics or knowledge with strong or weak correlations while visiting a cultural relic. Therefore, the personalized knowledge recommendation function uses the expandable non-tree structure knowledge graph data in the first database to provide a more flexible display mode.

[0036] Finally, the interactive layer is described. The interactive layer includes a webpage, a software application and a multimedia terminal. The webpage and the software application are displayed through the multimedia terminal. The multimedia terminal includes a mobile intelligent device and a museum dedicated display device.

[0037] In the embodiment, the software application is compatible with multiple operating systems such as Android, Microsoft, iOS and Linux. The mobile intelligent device includes a mobile phone, a tablet, a computer and a smart television.

[0038] The specific embodiment is only an explanation of the present application, and is not a limitation of the present application. Those skilled in the art can make modifications to the embodiment without creative contribution after reading the specification, and the modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

Claims

1.A knowledge graph based digital museum system, characterized in that: The digital museum system comprises three levels of data layer, application layer and interaction layer, the data layer comprises a server, the server is provided with a first database and a second database, the first database is a basic database, the first database stores knowledge graph data, the second database is a calling database, the second database stores corresponding data information according to the application function of other levels of the digital museum system: the application layer comprises a data search module, a data sorting module and a function module, the data search module is used for constructing and expanding the first database, the data sorting module is used for sorting the data obtained and converted by the data search module to the second database, the function module is used for realizing the application function of the interaction layer, the function module comprises a semantic algorithm part and a link algorithm part, the semantic algorithm part is used for realizing semantic intelligent retrieval function, the link algorithm part is used for realizing personalized knowledge recommendation function, the semantic intelligent retrieval function and the personalized knowledge recommendation function are applied through the interaction layer platform; The interaction layer comprises a webpage, a software application and a multimedia terminal, the webpage and the software application are displayed through the multimedia terminal, the multimedia terminal comprises a mobile intelligent device and a museum special display device; The semantic algorithm part comprises keyword extraction, keyword comparison and keyword combination, the keyword extraction is realized by a word segmentation tool to obtain keywords from semantics, the keyword comparison is to compare the keywords with the data in the keyword library, and the graph data with the keywords is extracted from the first database, the keyword combination regenerates the knowledge graph by regenerating the graph data with the keywords extracted from the first database through the application layer; The link algorithm part comprises keyword screening, the keyword screening compares the graph data corresponding to the knowledge graph data used by the application layer with the data in the keyword library, obtains all corresponding keywords, and regenerates the knowledge graph by extracting the graph data with the corresponding keywords, and waits for the application layer to display; The second database is provided with a cache library, the cache library is used for storing the running data of the webpage and the software application of the interaction layer, the running data comprises user login information, user use record and user interaction data, the user interaction data is converted and expanded to the first database through the data search module; The first database comprises structured data and unstructured data, the structured data and the unstructured data are obtained by searching and converting the data search module, the structured data is standard cultural relic data, the unstructured data is obtained by the data search module through network search, the conversion comprises converting non-graph data into graph data and converting all graph data into knowledge graph form storage; The second database is provided with a keyword library for the running of the application layer, the data stored in the keyword library comprises node data and edge data of the knowledge graph of the first database; The link algorithm part is iteratively run, and the link algorithm part is run once every time the application layer displays a new knowledge graph. The link algorithm part is iteratively run, and the link algorithm part is run once every time the application layer displays a new knowledge graph.

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