Dimensional Ontology based fuzzy knowledge modeling of biological adjustment network

Author

Jiang, Ying ; Cheng, Wenting ; Wang, Fangjie

Author_Institution

Sch. of Manage., Beijing Normal Univ., Zhuhai, China

fYear

2012

fDate

June 30 2012-July 2 2012

Firstpage

522

Lastpage

524

Abstract

This paper presents a method to ascertain related bioactivity mediums of silica-reduced pulmonary fibrosis in rats, to construct the regulator network of the material bioactivity and its genes, to evaluation network adjustment mechanism of silicosis fibrosis systematically. The adjustment network can be regarded as a context-sensitive knowledge graph (with fuzzy weighted edges among nodes). In order to model the fuzzy knowledge within the constructed adjustment network, we adopt Dimensional Ontology (DO), which is a context-sensitive knowledge framework based on Semantic Web technologies. The DO based Adjustment network can be used in related future research.

Keywords

biology computing; diseases; fuzzy set theory; graph theory; ontologies (artificial intelligence); semantic Web; zoology; DO based adjustment network; bioactivity mediums; biological adjustment network; context-sensitive knowledge framework; context-sensitive knowledge graph; dimensional ontology; fuzzy knowledge modeling; material bioactivity; rats; regulator network; semantic Web technologies; silica-reduced pulmonary fibrosis; silicosis fibrosis; Biological system modeling; Containers; Context; Educational institutions; Ontologies; Rats; Biological Adjustment Network; Dimensional Ontology; Fuzzy Knowledge Model;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science and Engineering (ICSSE), 2012 International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-0944-8

Electronic_ISBN

978-1-4673-0943-1

Type

conf

DOI

10.1109/ICSSE.2012.6257240

Filename

6257240