Research About Concept Extraction And Mapping Of Water Environment Ontology Based On Artificial Neural Network Algorithm

Water is a special resource supporting human survival and development. It's natural and strategic resource, which is related to the national economy. In recent years, water pollution and global shortage of water are becoming more and more severe, impacting human life and health. Therefore, the subjects of water environment have been to optimize the planning and management of water resources in different drainage areas, improve the sharing and reusability of water environment data and information and to promote the informatization of water conservancy. To accelerate the information, networked and intelligence development of water environment, it's necessary to process the abundant, heterogeneous and ever-increasing data and information in the field of water environment. For the sharing of data, information and knowledge, this study proposed the concept of ontology. Ontology, a novel method to describe the concept hierarchy and semantic model, has great potential of information retrieval, knowledge representation, data integration and information sharing.This thesis introduced the elementary knowledge about ontology briefly and researched the extracting and mapping of ontology in the field of water environment based on artificial neural network. The structures include three sections: the pre-processing of data source, the concept extracting of ontology and mapping of ontology. This study selected related texts as data source and obtained candidate concept by pre-processing, such as the filtration of participle and stop words. And then the concept of water environment can be extracted by Back-Propagation(BP) neural network. The concept relationships of water environment ontology is concluded by K-means clustering algorithm. Finally, merge small ontology, form a larger ontology to realize the semantic integration of heterogeneous ontology according to the Back-Propagation(BP) neural network mapping algorithm.This study constructed the system of water environment ontology. The present study provides the new insights for the application of the ontology in the field of water resources and environment. It plays important role in the integration of ontology itself, knowledge project, intelligent decision, environmental hydraulics, water conservancy project, ecology, social economics. It is beneficial to improve the comprehensive management of the drainage environment and scientific innovation in China with scientific implication and feasibility.