Research And Implementation Of Ontology Construction And Semantic Retrieval Model In Computer Literature

The rapid development of the Internet has caused the rapid spread of literature information on the Internet,and the types and fields involved are becoming more and more diversified.The intricate literature information puts forward more specialized and vertical requirements for retrieval.Traditional literature retrieval systems usually use string matching algorithms to search,but this technology cannot expand the semantics of query conditions.In the case of "multiple words with one meaning" and "multiple words with one word",the retrieval accuracy rate of traditional literature retrieval systems declines.Moreover,traditional literature retrieval systems cannot perform semantic inferences on retrieval results,which reduce the retrieval performance of the retrieval system.In order to solve the above problems,this paper proposes to realize the semantic retrieval of literatures based on domain ontology technology.The purpose of semantic retrieval is to expand the semantics of users' query conditions based on an accurate understanding of the retrieval conditions.At the same time,with the help of the literature domain ontology,it provides more accurate and comprehensive retrieval services for literature retrieval.The main content of this paper includes:(1)Summarize and analyze the research status of semantic retrieval and relevant knowledge of ontology.And the traditional literature retrieval method is improved,and the core idea of combining ontology technology and literature retrieval is proposed.Then,it deeply researched and analyzed the core technologies and tools involved in the realization of semantic retrieval system based on literature domain ontology,such as ontology construction tool Protégé,semantic analysis tool Jena and query expansion technology.(2)The construction and improvement of the ontology of the literature domain.By introducing the "object-oriented" construction idea,the traditional ontology construction method is improved.At the same time,based on literatures in the computer field,the literature ontology and concept semantic dictionary ontology needed to realize literature semantic retrieval are successfully constructed.(3)Design and implement a semantic retrieval system based on literature domain ontology.This paper uses the constructed literature ontology and concept semantic dictionary ontology to semantically expand the user's query conditions,and then obtain more relevant implicit information.The experimental results show that the semantic retrieval system implemented in this paper has a higher recall rate and accuracy rate in the retrieval results for the query and retrieval of computer-related literatures.Not only that,some hidden literatures related to retrieval conditions can be queried,which realizes semantic expansion to a certain extent.The semantic retrieval system implemented in this paper has preliminarily solved the shortcomings of literature retrieval in the computer field due to the lack of semantic knowledge.In summary,by comparing the ontology-based semantic retrieval system with the traditional retrieval system,it is found that the ontology-based semantic retrieval system has better performance in literature retrieval in the computer field.This has laid a good foundation for the realization of semantic retrieval of literatures in the future.