Title :
Research of Plant Domain Knowledge Model Based on Ontology
Author :
Jing Fan ; Xin-Pei Zhang ; Tian-Yang Dong
Author_Institution :
Inst. of Software, Zhejiang Univ. of Technol., Hangzhou
Abstract :
Simulation of plant growth is a hotspot in virtual reality area. In order to improve the level of knowledge sharing and solve the problem that the shape of plant is difficult to describe, a plant domain knowledge model based on ontology is provided in this paper. After analyzing the knowledge of domain ontology, this paper describes an ontology model of the plants domain knowledge using related botany knowledge. Plant domain ontology is divided into two parts in the model, plant knowledge and environment knowledge. This paper uses Protege as the tool for the plant domain ontology description and store the plant domain ontology in the form of OWL files. The description of the plant domain ontology can be used in the plant growth evaluation system.
Keywords :
biology computing; botany; knowledge representation languages; ontologies (artificial intelligence); virtual reality; OWL files; Protege; botany; knowledge sharing; plant domain knowledge model; plant domain ontology description; plant growth evaluation system; plant growth simulation; virtual reality; Buildings; Computational modeling; Computer simulation; Database languages; OWL; Ontologies; Plants (biology); Shape; Topology; Virtual reality;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.451