Construction of rural land use knowledge map

Abstract

The rational use of land in villages and towns is an important prerequisite for the sustainable development of villages and towns and rural revitalization. According to the demand of intelligent knowledge service in the field of land use management in villages and towns, taking the sharing and reusing big data knowledge of land use in villages and towns, the multi-dimensional and hierarchical knowledge system in the field of land use management in villages and towns is built based on multi-source heterogeneous land use data firstly. Then, the related terms and methods are extracted by the rule-based extraction method and the land use entities of villages and towns in semi-structured and unstructured chemistry knowledge texts are extracted by the entity extraction method based on deep learning. The labeling accuracy of extracted basic knowledge entity objects is over 83% and the business knowledge is over 78%. Finally, the basic knowledge, business knowledge and subject knowledge in the field of land use in villages and towns are integrated and correlated. The modeling and expression of knowledge provides intelligent knowledge services for land use and management in villages and towns.