Method and system for enhancing file entity association degree based on knowledge graph
A technology of knowledge graph and correlation degree, which is applied in the field of enhancing the correlation degree of archive entities based on knowledge graph, can solve the problems of low correlation degree and utilization rate of archive data, and achieve the effect of improving correlation degree and utilization rate
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0052] An embodiment of the present invention provides a method for enhancing the association degree of archive entities based on knowledge graphs, such as figure 1 shown, including the following steps:
[0053] Step S1: Acquiring archive text data.
[0054] The collection of archives resources is the basis of archives management. The basic function of archives management is intelligent collection and archiving. It is the centralized processing center for submitted electronic files to be archived. It mainly realizes the submission of archives data, receipt of archives, and communication between the archives system and other application systems. data conversion. Use intelligent technology to collect information and data generated by different data sources, and extract potentially available information. After completing intelligent archiving, it is necessary to carry out data processing and analysis according to the characteristics of the archive data. As the existing paper ar...
Embodiment 2
[0071] An embodiment of the present invention provides a system for enhancing the association degree of archive entities based on knowledge graphs, such as Figure 7 shown, including:
[0072] The data acquisition module 1 is used to acquire text data; this module executes the method described in step S1 in Embodiment 1, which will not be repeated here.
[0073] The entity recognition module 2 is used to identify the file text data by using the entity recognition model, and generate the instance data of the defined entity; this module executes the method described in step S2 in Embodiment 1, which will not be repeated here.
[0074] The relationship extraction module 3 is used to identify the instance data of the defined entity by using the relationship extraction model, and generate the smallest unit in the knowledge graph; this module executes the method described in step S3 in Embodiment 1, which will not be repeated here.
[0075] The knowledge fusion module 4 is used to ...
Embodiment 3
[0078] An embodiment of the present invention provides a terminal, such as Figure 8 As shown, it includes: at least one processor 401 , such as a CPU (Central Processing Unit, central processing unit), at least one communication interface 403 , memory 404 , and at least one communication bus 402 . Wherein, the communication bus 402 is used to realize connection and communication between these components. Wherein, the communication interface 403 may include a display screen (Display) and a keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a wireless interface. The memory 404 may be a high-speed RAM memory (Random Access Memory, volatile random access memory), or a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory 404 may also be at least one storage device located away from the aforementioned processor 401 . The processor 401 may execute the method for enhancing ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com