Ontology-based knowledge management for forest channel

Author

Fan, Jing ; Liu, Xiuying ; Shen, Ying ; Dong, Tianyang

Author_Institution

Key Lab. of Visual Media Intell. Process. Technol. of Zhejiang Province, Zhejiang Univ. of Technol., Hangzhou, China

fYear

2012

fDate

29-31 May 2012

Firstpage

1523

Lastpage

1527

Abstract

Forest channel is an important part of land greening. In order to scientifically configure the species of the forest channel, this paper proposed an ontology-based method for forest channel knowledge management. The forest channel knowledge can be described as three parts: green regions, species characteristics, species configure modes. Combined with self-defined rules and knowledge, greening scheme can be reasoned based on customer´s requirement. Several typical technologies are used in this system, such as OWL to represent the forest channel ontology and Jena to reason on the rules. This method can help make strategic decisions in forest channel knowledge management.

Keywords

forestry; knowledge management; knowledge representation languages; ontologies (artificial intelligence); Jena; OWL; forest channel knowledge management; green regions; greening scheme; land greening; ontology-based knowledge management; ontology-based method; species characteristics; species configure modes; strategic decisions; Cognition; Green products; Knowledge management; OWL; Ontologies; Roads; Vegetation; forest channel; ontology; ontology-based reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6233843

Filename

6233843