Title :
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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6233843
