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Construction And Question Answering System Of Elementary Education Biological Knowledge Base Based On Knowledge Graph

Posted on:2020-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q WangFull Text:PDF
GTID:2428330596478855Subject:Computer technology
Abstract/Summary:PDF Full Text Request
The development of Internet technology has promoted the transformation of the educational model.Learning based on network resources has increasingly become an important way for teachers and students to acquire knowledge.However,the current network elementary education resources have loose structure,weak semantics,difficult retrieval,and low reusability.They cannot meet the requirements of the elementary education teachers and students for the accuracy and authority of knowledge.Knowledge Graph is a structured semantic knowledge base with powerful structural expression ability and ontology semantic description ability.It has great advantages in knowledge specification representation,sharing and accurate retrieval.This paper studies the construction and question answering system of elementary education biological knowledge base based on knowledge graph.The main work of this paper includes:(1)Build an elementary education bio-core knowledge base.The construction method of elementary education biological knowledge base was put forward,and the construction of elementary education biological knowledge base was completed.Relying on the domain experts to construct the biological knowledge classification system based on the characteristics of the discipline and the teaching rules,based on the biological ontology,the conceptual system and attribute system based on the educational biological knowledge base is constructed.According to the biological syllabus and authoritative basic textbooks,semi-automatic annotation methods are used to obtain knowledge examples and build an elementary education bio-core knowledge base.(2)Exogenous knowledge base construction and knowledge base structure optimization.Use reptile technology to extract external structured resources and build an elementary education bio-external knowledge base.Based on the TransE optimization algorithm,entity and relationship mining is performed on the knowledge base,and the knowledge structure is optimized and complemented.(3)Develop an elementary education biological knowledge solving system.The extraction and optimization of the solution template of the biological knowledge base is completed,and the solution of the problem is solved by template matching with different priorities,thereby improving the accuracy of the answer.This paper builds a biological core knowledge base based on authoritative textbooks and teaching aids to ensure the accuracy and authority of the elementary education biological knowledge base.The bio-core knowledge base is extended by crawling technology,and the structure of the knowledge base is optimized and complemented by TransE algorithm,which expands the scale and coverage of the biological knowledge base.A three-layer template matching method was used to construct a highly accurate elementary education biological knowledge question and answer system.
Keywords/Search Tags:Biological knowledge base, Ontology, Knowledge Graph, question answering system, Semantic annotation
PDF Full Text Request
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