Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A knowledge map organization query method based on hybrid database

A technology of knowledge graph and organization query, applied in the field of knowledge graph organization and query

Active Publication Date: 2019-01-18
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the information in the graph that does not satisfy the graph data structure, such as how to store the ambiguous information between entities, it has become a problem that needs to be solved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A knowledge map organization query method based on hybrid database
  • A knowledge map organization query method based on hybrid database

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0047] Query example 1: The input entity name has entity ambiguity

[0048] 1) Input entity: Qilixiang

[0049]2) SQL query: perform ambiguous vocabulary query in MySQL

[0050] 3) The SQL query hits (represents that the input entity name "Qilixiang" is ambiguous), and the ambiguous entity pointing to "Qilixiang" is returned:

[0051] Qilixiang (Jay Chou's album released in 2004)

[0052] Qilixiang (Gurica genus Rutaceae)

[0053] Qilixiang (song by Jay Chou)

[0054] Qilixiang (name of poem, collection of poems)

[0055] Qilixiang (Thailand TV series)

[0056] Seven Lixiang (Chinese medicine)

[0057] Qilixiang (the novel "Qilixiang")

[0058] ………………

[0059] 4) Entity disambiguation:

[0060] It is assumed that entity disambiguation is performed according to the context at this time.

[0061] The context is: "Jay Chou's Qilixiang is a song I like very much".

[0062] Therefore, the entity after disambiguation according to the context is: Qilixiang (song by Jay Cho...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a knowledge map organization inquiry method based on a hybrid database, which comprises the following steps: acquiring a triple set in a preset data set; The entity triple setand the relation triple set are distinguished from the triple set; Storing the triple set of entities on Neo4j to obtain the knowledge base with entities; Constructing the index for the knowledge base with entities to obtain the knowledge base with indexes and entities; Storing the relational triple set on Neo4j, obtaining the knowledge base with index, entity and relation; storing the entity ambiguity information on MySQL and constructing the entity ambiguity vocabulary; Storing the constructed entity ambiguity thesaurus in the knowledge base with indexes, entities and relationships, and obtaining the complete knowledge base. The invention combines the respective advantages of a relational database and a graph database, and proposes a knowledge map organization method based on a hybrid database, which is suitable for a general large-scale open domain knowledge map, and improves the query efficiency of the knowledge map while optimizing the storage structure of the knowledge map.

Description

technical field [0001] The present invention specifically relates to a method for organizing and querying knowledge graphs based on a hybrid database. Background technique [0002] As an efficient information organization and retrieval method, knowledge graph has set off a wave of knowledge graph learning since Google proposed it in 2012. Entity extraction, attribute extraction, inter-entity relationship extraction, knowledge reasoning, knowledge representation learning, etc. have become research hotspots, but few literatures mention how to store the bottom layer of graphs, and how to combine storage design query Interface, or even though it is mentioned, the description of this aspect is incomplete and too fragmented. Storage and query usually appear as a whole. Efficient query needs to be supported by a good storage structure, while storage needs to be continuously optimized in combination with the characteristics of query. [0003] Traditional databases, such as relatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/242G06F16/2453G06F16/28G06F16/901
Inventor 李新川姚宏陈仁谣李圣文梁庆中郑坤
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

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