Method and system used for generating knowledge graphs
A knowledge map and knowledge technology, applied in the field of knowledge map generation, can solve problems such as the inability to generate knowledge maps, and achieve the effect of saving labor costs
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0057] figure 1 It is a flow chart of the steps of the method for generating a knowledge graph provided in this embodiment. The method generates an initial knowledge graph (step S110) based on the initial knowledge graph framework including the attributes and associations between named entity types and the seed knowledge set (step S110). Classify all kinds of petroleum exploration knowledge according to the knowledge form and the concept categories of various entity objects (project category, geological object category, geological age category), etc. to establish a restrictive framework. This constraint framework stipulates whether there are (potential) associations between named entity types in multiple dimensions, and visually and intuitively shows the relationship between various types of knowledge in the field of oil exploration.
[0058] Determine the type of the graphic unit (step S120). In this embodiment, the graphic unit of the knowledge point to be extracted is iden...
Embodiment 2
[0074] image 3 It is a schematic structural diagram of a system for generating a knowledge graph provided in this embodiment. The system includes an initialization unit, a type judgment unit (not shown in the figure), a single graphic-text knowledge item identification unit, a graphic-text set knowledge item identification unit and a correction unit.
[0075] Wherein, the recognition unit of a single graphic-text knowledge item includes a knowledge discovery and extraction unit in a single text and a knowledge discovery and extraction unit in a single image. The unit of knowledge discovery and extraction within a single text includes two modules that act continuously: a module for named entity recognition within a single text and a module for discovering associations between named entities within a single text.
[0076] The main purpose of the named entity recognition module in a single text is to identify named entities involved in a single text. Based on the existing prof...
PUM

Abstract
Description
Claims
Application Information

- Generate Ideas
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com