Semantic search method and device based on knowledge graph

A knowledge map and semantic search technology, applied in the field of semantic search methods and devices based on knowledge maps, can solve the problems of low search efficiency and search accuracy for users, and achieve the effect of improving search efficiency and search accuracy

Active Publication Date: 2020-01-17
UNIV OF SCI & TECH BEIJING
View PDF8 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a semantic search method and device based on knowledge graphs to solve the problem of low user search efficiency and search accuracy in the prior art, and the inability to provide users with accurate and personalized search services The problem

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
  • Semantic search method and device based on knowledge graph
  • Semantic search method and device based on knowledge graph
  • Semantic search method and device based on knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, the semantic search method based on the knowledge map provided by the embodiment of the present invention includes:

[0054] S101, extract keywords in the request to be queried input by the user, and perform conceptual matching on each extracted keyword in the ontology database, wherein the request to be queried is used to query resources of elderly care institutions;

[0055] S102, if the matching is successful, execute ontology-based semantic extension; if the execution fails, execute knowledge graph-based semantic extension;

[0056] S103, according to the historical behavior of the user, determine the semantic similarity based on the user behavior;

[0057] S104. According to the determined semantic similarity and semantic extension results based on the user behavior, predict the user's rating on the resource of the elderly care institution, and return the resource information of several elderly care institutions with high scores to the u...

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 provides a semantic search method and device based on a knowledge graph, which can provide accurate personalized search for a user and can improve search efficiency and search accuracy.The method comprises the steps that keywords in a to-be-queried request input by a user are extracted, concept matching is conducted on each extracted keyword in an ontology library, and the to-be-queried request is used for querying pension institution resources; if the matching succeeds, ontology-based semantic extension is executed; if the execution fails, semantic extension is executed based on the knowledge graph; semantic similarity is determined based on user behaviors according to the historical behaviors of the user; and according to the determined semantic similarity and semantic extension result based on the user behaviors, scores of the user for the pension institution resources are predicted, and a plurality of pieces of pension institution resource information with high scores are returned to the user as a recommendation list. The invention relates to the field of search engines and computer information processing.

Description

technical field [0001] The invention relates to the fields of search engines and computer information processing, in particular to a semantic search method and device based on knowledge graphs. Background technique [0002] In recent years, with the rapid development of information technology, network information resources have shown explosive growth. While enjoying the great convenience brought by Internet information interaction, people are also plagued by problems such as "information treachery" and "cognitive overload". [0003] Faced with the increasing amount of elderly care resource information on the Internet, the existing search methods do not consider semantic information and user characteristics, and cannot understand user query intentions, resulting in low search efficiency and accuracy for users, and cannot provide users with accurate and personalized information. Search service. Contents of the invention [0004] The technical problem to be solved by the pre...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/36G06F40/30
CPCG06F16/9535G06F16/367
Inventor 宁焕生刘福超
Owner UNIV OF SCI & TECH BEIJING
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap