Study Of Roadside Greening Scheme Configuration Based On Ontology Reasoning

Roadside greening is closely related to people’s lives. Traditional road greening mostly based on experts’subjective experience and common sense, thus the selected greening scheme always only for a specific region and not suitable for the promotion. Besides, the repetition rate is high. There already have been a number of road greening systems, but such systems focus on greening knowledge storage and query, and lack of intelligent program configuration support.For the above situation, this paper carries out a research of the road greening scheme configuration. The ontology technology is applied to the field of road greening to storage the greening knowledge and the semantic relationships between the knowledge. Making the use of the inference ability of the ontology, the greening scheme is recommended combined with the inference engine. Furthermore, the greening scheme configuration method is applied to the resource management and visualization platform of green channel construction to achieve the dynamic growth simulation and visualization simulation. The main contents of this paper include:(1) According to the feature of different types of greening knowledge, the road greening ontology is established and a unified expression of greening knowledge is constructed. By researching on greening knowledge extraction and classification, the feature of the four main categories of green knowledge is analised. The four main categories include green environment, road type, species characteristics, and species configuration. The greening knowledge is formalized to lay the foundation for the greening scheme reasoning.(2) After studying the greening rules set, the space related hierarchical reasoning method is proposed to achieve effectively greening scheme configuration. Then the green principles are analyzed in common; the greening rules are formed according to the process of greening scheme configuration. According to the spatial range from large to small; the reasoning process is divided into three levels. They are geographical range reasoning, regional scope of reasoning and local configuration reasoning. And also the corresponding rule base is established for every reasoning level in order to achieve the effective configuration of greening scheme.(3) The recommended method of multi-regions’greening scheme is researched on. The recommended process is divided into two parts:one is regional scheme sort; the other is muli-scheme recommendation. The regional sort is implemented by quantifying the tree characteristics and the greening scheme, so as to get the regional best schemes set. To the perspect of biodiversity, the final multi-region greening scheme is the one with the most kinds of trees.(4) At last, the resource management and visualization platform of green channel construction is designed and implemented. The greening scheme configuration method is integrated into the platform. The result of roadside greening scheme configuration method based on the ontology reasoning is vertifyed and shown. This paper implements the construction, management and maintenance of the greening knowledge ontology, defines the greening rules set and finishs the reasoning process of greening scheme configuration. And also uses the 3D visualization technology to achieve dynamic growth simulation and visualization simulation, provides real-time roaming of a specific road greening scene.This paper applies ontology into the greening field, and makes use of the ontology technology to construct a unified expression of greening knowledge. Hierarchical greening rules are also established to carry out the reasoning task. Combined with the qualitative selection and quantitative sort method, greening plant selection and greening scheme recommendation are implemented.