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Knowledge map interactive visual query method based on RDF

A query method and technology of knowledge graph, applied in the field of RDF graph data, which can solve the problems of user inconvenience, lack of interactivity, and poor visualization of RDF graph database.

Active Publication Date: 2018-12-18
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

However, there is currently no good visualization application for RDF graph databases in the general field, and the lack of interactivity of existing visualization methods causes some inconvenience for users when using them
On the other hand, in the W3C specification on SPARQL, a variety of query modes are defined, such as pattern matching query and regular path query, but these two query modes are not well supported, so that users cannot pass their own needs through the interactive interface. Enter and get the desired result

Method used

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  • Knowledge map interactive visual query method based on RDF
  • Knowledge map interactive visual query method based on RDF
  • Knowledge map interactive visual query method based on RDF

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Embodiment Construction

[0036] In order to further understand the invention content, characteristics and effects of the present invention, the following examples are given, and detailed descriptions are as follows in conjunction with the accompanying drawings:

[0037] The RDF-based interactive visual query method of knowledge graph in the present invention is divided into three parts: query generation layer, data visualization layer, and user interaction layer:

[0038] (1) Query generation layer

[0039] The role of the query generation layer is to convert user input into SPARQL statements. Users do not need to directly input SPARQL statements, but use interactive operations such as inputting keywords, selecting candidates, and clicking to query. Among them, the user's query is divided into three categories: entity-based query, pattern-matching-based query, and regular path-based query.

[0040] 1) Based on entity query

[0041] a) The user inputs the keyword of the entity to be queried;

[004...

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Abstract

The invention discloses a knowledge map interactive visual query method based on RDF, which classifies user query into three types: entity-based query, pattern-based matching query, and regular path-based query, and visualizes query results. The invention designs a knowledge map interactive visualization method according to the characteristics of RDF and SPARQL standards and the modern interactivedesign concept, which can help users to query entities and relationships from RDF graph database, and accomplish complex queries by using the characteristics of pattern matching query and regular path query. The design is implemented based on front-end technology and React framework.

Description

technical field [0001] The invention relates to the field of RDF graph data, in particular to an interactive visual query method for knowledge graphs based on RDF. Background technique [0002] The Resource Description Framework (RDF for short) is a series of specifications defined by the World Wide Web Consortium (W3C for short). The Semantic Web provides a framework that enables data to be shared and used across application, platform, and organizational constraints. Using RDF allows entities and their relationships to be well stored and used in the Semantic Web. As a key data format in the Semantic Web, RDF has become the de facto standard for building knowledge graphs in recent years. RDF organizes data into directed graphs to better represent the relationship between nodes and resources represented by edges, so it is very suitable as a data model for knowledge graphs. With the development of Linked Data, the Semantic Web has accumulated a large amount of data. In rec...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王鑫杨朝洲
Owner TIANJIN UNIV
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