Construction And Application Of Camellia Oleifera Knowledge Graph

With the rapid development of information technology,the way of knowledge acquisition,storage and dissemination has changed a lot.Internet has become the main way for people to acquire and disseminate knowledge.The data in the Internet is multi-source and heterogeneous,which is difficult to make use of these knowledge.Knowledge Graph is a knowledge management technology which is very popular in recent years.Knowledge Graph using RDF triples to express text,table and other kinds of information and storing by the structure of‘node-edge’.It focuses on the relationship between knowledge.Knowledge Graph has been applied in a lot of fields,including general and domain knowledge graph.The rapid development of artificial intelligence technology makes construc knowledge graph easily.Knowledge Graph become a research hotspot in recent years.There are a lot of forestry information.The construction and application of forestry knowledge map can improve the forestry knowledge service ability and promote the digital forestry to intelligent forestry.Camellia oleifera has been cultivated for a long time and it also widely distributed in China.Camellia oleifera is a hot spot in the research of economic forest and has produced a lot of scientific research results.The rapid development of Camellia oleifera industry needs the support of big data and knowledge service.This paper construction Knowledge Graph based on Camellia oleifera.Through the application of Knowledge Graph to improve the utilization of Camellia oleifera knowledge.The Camellia oleifera Knowledge Graph enhances the ability of discovery,retrieval and service of Camellia oleifera knowledge,which is benefit for the development of Camellia oleifera industry.This paper collected,classified and processed the knowledge of whole Camellia oleifera industrial chain,including seedling,cultivation,processing and utilization.Data is classified by different knowledge dimensions such as experts,institutions,achievements,standards,patents,papers,and cultivars.Constructing a Camellia oleifera knowledge ontology which including 7first level concepts,13 second level concepts and some relationships.The data of the knowledge graph is expressed in the form of RDF triples.The basic form is ‘object-attribute-attribute value’.One example of RDF triple is: Camellia oleifera-upper word-camellia.Data processing is based on the Camellia oleifera knowledge ontology.For structured data,setting up manual filtering rules and establishing corresponding mapping relationships to transform structured data.For text data,building thesaurus to complete the task of entity recognition and using dependency syntax analysis to extract the relationship.The Camellia oleifera knowledge graph has 24204 RDF triples.The entity,attribute and relationship of the Camellia oleifera knowledge graph are stored in neo4 j graph database.The Camellia oleifera knowledge graph application system is developed by B / S architecture,which realized the functions of semantic search,knowledge association,visual display and Knowledge Q & A.In the Camellia oleifera knowledge graph,there are some spatial information such as the relevant characteristics of Camellia oleifera varieties,the original cultivation regions and the main cultivation regions.Based on the knowledge and the attribute data of geographic information,we constructe an environmental suitability evaluation model.Combined with the knowledge graph data and spatial analysis,it can simulate and predict the suitable planting area of one Camellia oleifera cultivar.As an innovative application of the Camellia oleifera knowledge graph,it provides a reference for the promotion and planting.This study focus on the construction technology and specific application of Camellia oleifera knowledge graph.The Camellia oleifera knowledge graph application system combina with the forestry information portal,improving the user coverage and the knowledge service ability of Camellia oleifera.The Camellia oleifera knowledge graph application system has expansibility so that it can add other forestry industry knowledge.The Camellia oleifera knowledge graph provide high quality data support and knowledge services,which can improve the intelligent level of forestry informatization and promote forestry industry.