Method for automatically expanding layering ontology knowledge base

A hierarchical ontology library technology, applied in database models, relational databases, structured data retrieval, etc., can solve problems such as inability to achieve dynamic expansion and unsuitable Chinese ontology mapping

Inactive Publication Date: 2017-05-31
TIANJIN UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, ontology mapping is mainly applied to two existing heterogeneous ontologies, and cannot realize the dynamic expansion of

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
  • Method for automatically expanding layering ontology knowledge base
  • Method for automatically expanding layering ontology knowledge base
  • Method for automatically expanding layering ontology knowledge base

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0026] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and specific implementation examples. The specific implementation examples described are only for explaining the present invention and are not intended to limit the present invention.

[0027] The method for automatically expanding a hierarchical ontology knowledge base provided by the present invention includes the following steps:

[0028] Step 1: Build a category relationship tree for the existing hierarchical ontology library; figure 1 As shown, the existing hierarchical ontology library selects the Chinese Wikipedia ontology library, and maps the suffix words manually marked with Wikipedia category names to the category tree nodes through Wikipedia custom category tags. That is, the category marked "XXX athlete" in advance should correspond to "person" on the category tree, and "XXX company" should correspond to the "organization" on the c...

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 method for automatically expanding a layering ontology knowledge base. The method comprises the steps of 1, constructing a category relationship tree for an existing layering ontology base; 2, extracting categories in the layering ontology base and characteristics of pre-plugged new entities; 3, by means of the characteristics obtained through extraction in the step 2, calculating the similarity of the category nodes in the new entities and the category relationship tree from top to bottom in the category relationship tree where the layering ontology knowledge base is located; 4, processing the pre-plugged new entities and the entities in the categories according to the situations, and therefore achieving expansion of the layering ontology knowledge base. Integration of the new entities constantly appearing in a semantic net is achieved through the layering ontology knowledge base, an ontology base with the unified standards is formed, assistances are provided for the semantic net for achieving knowledge sharing and interoperation, expression and inference based on semantics can be achieved, and a good foundation is laid for further building a credible semantic net.

Description

technical field [0001] The concept of ontology originated in the field of philosophy [1], and has been widely used as a semantic basis in information retrieval, artificial intelligence, semantic network, software engineering, natural language processing, e-commerce and knowledge management. The invention relates to a method for extending an existing ontology database, especially a dynamic and automatic extension method for a hierarchical ontology knowledge base. Background technique [0002] Ontology is the core of the Semantic Web as an explicit formalized specification of a shared conceptual model [2]. In order to make full use of existing ontologies, many studies focus on ontology mapping, that is, to find semantic connections between heterogeneous ontologies. Mapping technology can be divided into element layer mapping and structure layer mapping [3]. The element-level mapping technology ignores the relationship between elements and other elements, and only considers t...

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): G06F17/30
CPCG06F16/2246G06F16/288
Inventor 王博王盈辉武贤丽
Owner TIANJIN UNIV
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