Development Of Intelligent Forestry Law Retrieval System Based On Android

This article studies the grammatical structure and semantic characteristics of the legal provisions in the "Wildlife Protection Law of the People's Republic of China".Using word segmentation technology,the forestry professional terms such as verbs and nouns contained in the legal provisions are extracted,and synonyms and synonyms based on verb nouns Thesaurus and hierarchical relational thesaurus of parent and child.The intelligent retrieval model of forestry law was established,and the method of calculating word similarity in semantic information retrieval was used to realize the intelligent retrieval.Using the improved forward maximum matching segmentation algorithm,combined with semantic analysis,combining the parent-child level retrieval method and the word similarity calculation retrieval method,using the same retrieval sentence as the retrieval condition,the retrieval results of these two retrieval methods are respectively performed Test,and finally push the search results of these two search methods to users in the form of intersection.According to system analysis and user needs,the Android-based forestry law intelligent retrieval platform adopts the MVP architecture model,encapsulates the HTTP network request framework,implements the business subject framework through viewpager+Fragment,builds a Baidu cloud server,and selects Spring Boot as the server Framework,MYSQL as a database.This research focuses on the realization of two major functional modules.The first module is intelligent retrieval based on word segmentation knowledge architecture,and the second module is based on verb noun lexicon management.Based on the development of MVP architecture,the Model layer and the View layer can be completely separated;the stylish page layout of the mainstream search engine brings a good experience to the user.