Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

WEB resource-based ontology concept hierarchy acquisition method, system and storage medium

A technology of concept level and acquisition method, applied in the field of concept level analysis, which can solve the problems of acquiring domain ontology and inability to do so.

Pending Publication Date: 2021-02-12
CAPITAL NORMAL UNIVERSITY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this hierarchical ontology construction model can reduce the complexity of ontology engineering to a certain extent, it still cannot achieve fast and efficient acquisition of domain ontology

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
  • WEB resource-based ontology concept hierarchy acquisition method, system and storage medium
  • WEB resource-based ontology concept hierarchy acquisition method, system and storage medium
  • WEB resource-based ontology concept hierarchy acquisition method, system and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] see figure 1 , figure 1 It is a schematic flowchart of a method for acquiring ontology concept levels based on WEB resources disclosed in the embodiment of the present application. Such as figure 1 As shown, a method for obtaining ontology concept hierarchy based on WEB resources in the embodiment of the present application is characterized in that the method includes:

[0082] S1. Use clue words to construct query strings containing hierarchical relationships, and use search engines to obtain corpus rich in hierarchical relationships from the Web;

[0083] S2. Comprehensively utilize the relational enrichment corpus obtained from the Web, encyclopedia knowledge explanation entries and news documents to construct a concept vector space model, and build a concept map based on the conceptual semantic similarity based on "HowNet";

[0084] S3. After the pruning operation is performed on the concept map, a clear hierarchical subordination relationship between concepts is...

Embodiment 2

[0131] see figure 2 , figure 2 It is a schematic structural diagram of a system for acquiring ontology concept levels based on WEB resources disclosed in the embodiment of this application. Such as figure 2 As shown, a system for obtaining ontology concept hierarchy based on WEB resources in the embodiment of the present application, the system includes a corpus acquisition module, a concept map establishment module, and an ontology concept hierarchy acquisition module;

[0132] The corpus acquisition module is used to construct query strings containing hierarchical relationships using clue words, and obtain corpus rich in hierarchical relationships from the Web by means of search engines;

[0133] The concept map building module is used to comprehensively utilize the relational enrichment corpus obtained from the Web, encyclopedia knowledge explanation entries and news documents to construct a concept vector space model, and integrate the conceptual semantic similarity b...

Embodiment 3

[0136] see image 3 , image 3 It is a schematic structural diagram of a device for acquiring ontology concept levels based on WEB resources disclosed in the embodiment of the present application. Such as image 3 As shown, a device for acquiring ontology concept levels based on WEB resources in the embodiment of the present application is characterized in that the device includes:

[0137] a memory storing executable program code;

[0138] a processor coupled to the memory;

[0139] The processor invokes the executable program code stored in the memory to execute the method for obtaining ontology concept hierarchy based on WEB resources as described above.

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 WEB resource-based ontology concept hierarchy acquisition method, which comprises the following steps of: constructing a query string containing hierarchical relationships byutilizing clue words, and acquiring corpora rich in the hierarchical relationships from Web by virtue of a search engine; a concept vector space model is constructed by comprehensively utilizing relation enrichment corpora, encyclopedia knowledge interpretation entries and news documents obtained from Web, and a concept graph is established by fusing concept semantic similarity based on a'known network '; and after pruning operation is performed on the concept map, an improved hierarchical tree construction algorithm is utilized to obtain a clear hierarchical affiliation relationship between concepts. The accuracy of the hierarchical affiliation obtained by the scheme of the invention is obviously superior to that of the prior art, and a solid foundation is laid for realizing semantic information interaction between human and machines.

Description

technical field [0001] The present application relates to the technical field of concept hierarchy analysis, in particular, to a method, system and computer storage medium for acquiring ontology concept hierarchy based on WEB resources. Background technique [0002] A domain ontology is a clear and standardized description of a shared conceptual model in a specific domain. It reflects the knowledge system in this domain with a term set and the relationship between terms. It can be used to realize the semantic information interaction between humans and machines and between machines. At present, domain ontology has been widely used in many information application fields, such as information retrieval, information extraction, and question answering systems. [0003] There is a hierarchical ontology construction model in the prior art, which decomposes ontology construction into six levels: term recognition, synonym resolution, concept acquisition, concept hierarchical relation ...

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): G06F16/36
CPCG06F16/367Y02D10/00
Inventor 张凯刘杰周建设朱海平
Owner CAPITAL NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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