Construction Of Knowledge Map Of Dongting Lake Ecological Environment Monitoring System

The special location of Dongting Lake is an important storage lake and ecological protection area in the Yangtze River Basin.In recent decades,with the continuous development of the economy,the environmental damage of Dongting Lake has become more and more serious.The lake area,wetland vegetation area and rare fishes have gradually decreased.The nitrogen and phosphorus pollution in the lake has increased,and it is imperative to protect the Dongting.This paper takes Dongting Lake as the research object,and obtains massive monitoring data through the Dongting Lake sky-integrated ecological environment monitoring system.The construction method of water environment monitoring and biodiversity monitoring knowledge map of Dongting Lake Conservation Area is proposed.Modern society has entered the era of big data.Every day,massive amounts of data are generated.How to use this data better and more efficiently has become an important research hotspot;knowledge map refers to a series of forms in a structured form.The knowledge is described in detail.Knowledge map,as a means of visual display of data,has been used more and more widely.This paper builds an ecological environment knowledge map of the Dongting Lake Basin through data mining and analysis.The knowledge map can comprehensively display the connections and interrelationships between various entities in the ecological environment,provide data services for other applications,provide data support for government decision-making,and provide the public with the science of the Dongting Lake watershed ecological environment in an intuitive form.This paper analyzes the relevant national standards,and defines the ecological knowledge map pattern of the Dongting Lake watershed through the data analysis of the government website,the data excavated by the Wikipedia site and the sensor nodes of the Dongting Lake ecological perception system;through the use of text analysis,template extraction,machine learning And other methods to obtain the class entities in the pattern;use the methods of web crawling,text parsing,etc.to obtain the attribute relationships defined in the model,and obtain the semantic relationship through data parsing,similarity calculation,etc.Finally,use jaccard technology to obtain The triad relationship(such as the main-predicate-object structure,the entity-attribute-the attribute value structure,etc.)is used for knowledge fusion,and the knowledge inference method is used to process the acquired semantic relationship between the entity and the entity,and the knowledge map is constructed.