A data processing system for presenting triples
CN118132743BActive Publication Date: 2026-08-28ZHEJIANG MEIRI HUDONG NETWORK TECH CO LTD
Patent Information
- Application Number
- CN202410335729.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-22
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2044-03-22
AI Technical Summary
Technical Problem
目前市场上的渲染器，能够从界面上直观地展示知识图谱，但是渲染的节点始终比较有限，当查询的结果较多时，无法直观的看到所有查询结果，影响用户的查询体验
Benefits of technology
[0012]本发明提供了一种呈现三元组的数据处理系统，所述系统包括：存储有若干个预设文本三元组对应的预设文本实体簇集和预设文本关系簇集的存储介质、处理器和存储有计算机程序的存储器，通过将若干个文本实体和文本关系分别聚成簇的形式，能够在画布中以簇的形式进行呈现，只需渲染和呈现簇对应的名称即可，在点击每一个簇时，会将其中的下一级实体展开，再进行渲染和呈现，因而采用聚类成簇的形式能够支持大量数据的渲染，有利于用户的数据分析；且计算机程序被处理器执行时，实现以下步骤：根据接收的查询文本，获取到关键文本实体簇集，并对每一关键文本实体簇在画布中进行渲染，在接收到对某一关键文本实体簇的选中指令时，获取该关键文本实体簇对应的若干个关键文本实体，进而获取到每一关键文本实体对应的三元组并进行呈现，通过上述方式，能够根据用户输入的多个查询关键词，获取到每个查询关键词对应的三元组，实现了对多个结果的同时查询，提高了查询质量和效率，且只需对最终的查询结果进行三元组的呈现，合理利用画布空间的同时还使得查询结果更加清晰、一目了然。
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Figure CN118132743B_ABST
Abstract
The application relates to the technical field of knowledge graphs, in particular to a data processing system for presenting triples, which comprises a storage medium storing preset text entity clusters and preset text relationship clusters corresponding to a plurality of preset text triple pairs, a processor and a memory storing a computer program, and the computer program is executed by the processor to realize the following steps: obtaining key text entity clusters according to received query texts, rendering each key text entity cluster in a canvas, obtaining a plurality of key text entities corresponding to a key text entity cluster when a selection instruction for the key text entity cluster is received, and then obtaining and presenting triples corresponding to each key text entity. It is known that the application can reasonably utilize canvas space to present a large amount of data in the canvas, and can realize simultaneous query of multiple results, improve query efficiency and query quality.
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Citation Information
Patent Citations
Querying knowledge graph databases
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Rule mining using virtual knowledge graph created from text
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