System and method for constructing level knowledge base based on inference

A knowledge base and basic knowledge technology, applied in the field of hierarchical knowledge base construction system based on reasoning, can solve the problems of maintenance and update trouble, hierarchical fixation, etc., to achieve the effect of improving update efficiency, convenient and flexible maintenance and update

Active Publication Date: 2014-03-19
SAMSUNG ELECTRONICS CHINA R&D CENT +1
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The common problem of the existing hierarchical knowledge base technology is that the layers are relatively fixed, either the four layers of the knowledge organization layer model, or the three layers model divided into action layer, knowledge layer and behavior layer
Moreover, all knowledge is stored in the same knowledge base, which is troublesome to maintain and update

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
  • System and method for constructing level knowledge base based on inference
  • System and method for constructing level knowledge base based on inference
  • System and method for constructing level knowledge base based on inference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045]The present invention constructs Ontology in the field for different fields, and expresses and stores the data obtained from the network with reference to the Ontology, thereby constructing a knowledge base in the field. Users can refer to Ontology and build queries to access the knowledge base. At the same time, according to the content and attributes in the knowledge base, you can refer to the required subdivision custom rules, apply the rules to the knowledge base, and store the potential knowledge and relationships in a small knowledge base to build a basic Hierarchical knowledge base composed of knowledge base and small knowledge base. The hierarchical knowledge base obtained through inference makes the knowledge refined and can better meet the needs of upper-level users or applications. At the same time, it is more convenient and efficient to update and maintain such a hierarchical structure.

[0046] This embodiment introduces the framework of the hierarchical k...

Embodiment 2

[0064] Such as image 3 It is a structural diagram of an example in the field of dining (dining) for constructing a hierarchical knowledge base based on an inference engine in Embodiment 2 of the present invention.

[0065] Depend on image 3 It can be seen that to construct a hierarchical knowledge base, this embodiment requires three steps:

[0066] The first step is to define the required classification, and call the Ontology module to construct the classification Ontology. Each classification corresponds to an Ontology, and each Ontology contains various subcategories. For the dining field, such as a medical classification for the menu (menu), we can define a medical classification Ontology file named 'dining_disease.rdf', the internal structure of the Ontology file is as follows Figure 4 as shown, Figure 4 Arrows in indicate subclass relationships.

[0067] The second step is to define relevant inference rules according to the content and attributes of the basic kno...

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 system and method for constructing a level knowledge base based on inference. The system comprises a data capturing module, an Ontology module, a knowledge extraction module and a knowledge construction module, the Ontology module is used for constructing and updating field Ontology, classification Ontology and overall Ontology, the knowledge extraction module is used for extracting attribute content in each data source to obtain needed field knowledge, the attribute content can be mapped into the field Ontology, the knowledge construction module comprises a knowledge fusion sub-module and an inference engine sub-module, the knowledge fusion sub-module is used for fusing and storing the field knowledge from all the data sources in the same field to obtain a basic knowledge base, the inference engine sub-module is used for calling the Ontology module and defining the classification Ontology, related inference rules are made, the inference rules are applied to the basic knowledge base, and potential knowledge is obtained and stored in classification knowledge bases corresponding to all classifications. The system and method can facilitate the maintenance and update of the knowledge base.

Description

technical field [0001] The invention relates to the technical field of information representation and storage, in particular to a reasoning-based hierarchical knowledge base construction system and method. Background technique [0002] The existing network technology integrates scattered resources on the Internet into an organic whole, realizes comprehensive resource sharing and organic collaboration, and enables people to transparently use the overall capabilities of resources and obtain information on demand. So how to better organize the huge data information into an efficient knowledge body that can better meet the needs of users, this involves the construction of the knowledge base. The knowledge base is a structured, easy-to-operate, easy-to-use, comprehensively organized knowledge cluster in knowledge engineering. It is aimed at the needs of solving problems in a certain (or some) fields, and uses a certain (or several) knowledge representation methods in the computer...

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): G06F17/30
CPCG06F16/954
Inventor 周丽霞何亮刘洋洋
Owner SAMSUNG ELECTRONICS CHINA R&D CENT
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