A Heuristic Query Expansion Method Based on Semantic Association Network

A technology of semantic association and query expansion, applied in the field of information query, can solve problems such as ignoring semantic effects, not being effectively researched and solved, and not considering time factors, etc., to achieve the effect of ensuring rationality and high accuracy

Active Publication Date: 2021-09-17
BEIJING UNIV OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the traditional retrieval technology can only match according to keywords, ignoring the role of semantics in query, and cannot realize associative heuristic query
Query expansion methods are studied from the perspective of statistics or semantics, but they do not consider the time factor, and ignore the association path between expanded words
The reasonable definition and description of heuristic query, the construction method of semantic association network, and the expansion method of heuristic query have not been effectively researched and solved, and these key technical issues need further research

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 Heuristic Query Expansion Method Based on Semantic Association Network
  • A Heuristic Query Expansion Method Based on Semantic Association Network
  • A Heuristic Query Expansion Method Based on Semantic Association Network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Below in conjunction with accompanying drawing, further illustrate the present invention by example, but do not limit the scope of the present invention in any way.

[0044] Such as Figure 10 As shown, the embodiment of the present invention provides a heuristic query expansion method based on a semantic association network, the principle of which is:

[0045] On the basis of the corpus, combined with the concepts extracted from the ontology, an association graph is established. Then, based on the relational graph RG and query Q, through heuristic query expansion, the extended query in relational semantics is obtained. Association graph RG=(V, E) among the present invention, V is the set of nodes, v is a concept represented by semantic label A; E is a collection of edges, e=(v i ,v j ,rw) means v i and v j There is an association between them, and its association weight is rw. figure 1 A schematic diagram of the semantic relation graph RG is given.

[0046] ...

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 discloses a heuristic query expansion method based on a semantic association network, the steps of which are as follows: 1) on the basis of a corpus, combined with concepts extracted from ontology, to establish an association graph; 2) on the basis of the association graph and query On the basis of heuristic query expansion, the extended query in relational semantics is obtained. The invention can guarantee the rationality and accuracy of query expansion. The final result of the invention can be provided to users in related fields, such as emergency rescue, book recommendation and other fields, and can truly reflect the results of user needs.

Description

technical field [0001] The invention belongs to the technical field of information query, and in particular relates to a heuristic query expansion method based on a semantic association network. Background technique [0002] With the rapid development of information and communication technology and its related applications, data from various sources, such as Internet web page data, social network data, mobile communication data, traffic data, and Internet of Things sampling data, have rapidly expanded, which has greatly changed people's production. and life patterns. The traditional query technology has been unable to meet the user's retrieval needs. How to effectively use these data for query services is one of the major challenges that researchers face. In addition to simple keyword queries, space-time queries, and numerical queries, data queries also include more complex heuristic correlation queries. The extended query heuristically obtained by associative semantics ca...

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 Patents(China)
IPC IPC(8): G06F16/9532G06F40/30
CPCG06F16/951G06F40/30
Inventor 郭黎敏李童高需苏醒丁治明
Owner BEIJING UNIV OF TECH
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