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Knowledge graph data processing method and device based on attribute graph

A knowledge graph and data processing technology, which is applied in the fields of electronic digital data processing, special data processing applications, and other database retrieval. It can solve problems such as guarantee, performance expansion limitations, and inconsistent RDF database standards, and achieve the effect of storage

Pending Publication Date: 2021-01-22
NETEASE (HANGZHOU) NETWORK CO LTD
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  • Application Information

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Problems solved by technology

However, this kind of knowledge graph engine has limitations in performance expansion and cannot provide performance guarantee. Moreover, the inventors found that complex semantic performance cannot be achieved due to the inconsistent standards of the RDF database itself.

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  • Knowledge graph data processing method and device based on attribute graph
  • Knowledge graph data processing method and device based on attribute graph
  • Knowledge graph data processing method and device based on attribute graph

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Embodiment Construction

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] RDF was proposed by the World Wide Web Consortium (W3C). It was originally designed as a metadata model. Later, due to its standardization and scalability, it was widely applied to scenarios such as Web resource exchange and knowledge management. Based on the RDF data model, many RDF databases have been developed, such as Apache Jena and OpenLink Virtuoso. These databases use ...

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Abstract

The invention provides a knowledge graph data processing method and device based on an attribute graph and relates to the technical field of database application. The method comprises steps of receiving a processing request, sent by a user terminal, for a knowledge graph; converting the knowledge graph data according to the processing request, the converted knowledge graph data having a unified format standard satisfying a graph database of an attribute graph engine; mapping the converted knowledge graph data into a graph database in an attribute graph engine; responding to the processing request, and performing data processing operation on the graph data of the attribute graph engine and the converted knowledge graph data through the graph database so that the graph database based on theattribute graph can completely support the performance of storage, query, analysis and reasoning of the knowledge graph data. The method is advantaged in that the application boundary of the knowledgegraph based on the attribute graph is greatly expanded.

Description

technical field [0001] The present invention relates to the technical field of database applications, in particular to a method and device for processing knowledge graph data based on attribute graphs. Background technique [0002] Data (Graph) is a very popular form of data expression at present. Because of its natural expression, free mode, and easy expansion, it is used in more and more data analysis, big data, and artificial intelligence scenarios. Graph data is often stored in graph databases or Resource Description Framework (RDF) databases, from which two typical graph data models are derived: property graphs and RDF. [0003] As a typical expression form of knowledge graph, RDF has been widely applied to knowledge graph research in the academic field. However, this kind of knowledge graph engine has limitations in performance expansion and cannot provide performance guarantee. Moreover, the inventors found that complex semantic performance cannot be realized due to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/901G06F16/903G06F16/9032
CPCG06F16/9024G06F16/9032G06F16/90335
Inventor 尚书朱钰森李仁杰范长杰刘柏胡志鹏
Owner NETEASE (HANGZHOU) NETWORK CO LTD
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