Research on the model of knowledge representation ontology based on framework in intelligent learning system

Author

Wang, Hua

Author_Institution

Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

6757

Lastpage

6760

Abstract

The knowledge representation is the symbolization process of knowledge. In nature, knowledge representation adopts a technology model to map the knowledge required to solute problems into data structures to find a solution to these problems. The process of knowledge representation transforms the relevant knowledge into data structures. The goal of knowledge mapping in an intelligent learning system is to realize the machine resolution to complex intelligent questions. However, it is extremely difficult for machines to resolve these questions directly. An ontology model of framework representation for knowledge is proposed based on ontology and framework technology. The result shows the proposed model provides a novel and easy method to represent knowledge in intelligent learning systems.

Keywords

data structures; intelligent tutoring systems; ontologies (artificial intelligence); data structure; intelligent learning system; knowledge mapping; knowledge representation transform; machine resolution; ontology model; Data models; Data structures; Learning systems; Object oriented modeling; Ontologies; framework; intelligent learning system; knowledge representation; ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6056799

Filename

6056799