Model of information retrieval system based on ontology
Wang Li
Abstract
Wang Li
Abstract
Aimed at the weakness of the Keyword-based search,an ontology-based information retrieval model was presented.This model is combined the information retrieval approach with semantic web technology and,on the basis of ontology-based knowledge base,achieved some semantic query to file repositories.Meanwhile,comprehensively considering both semantic and keyword-based search,a similarity measuring algorithm was proposed,so that the system could effectively meet the requirements of information searching of users and laid a theoretical basis for the research on the semantic search.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Aimed at the weakness of the Keyword-based search,an ontology-based information retrieval model was presented.This model is combined the information retrieval approach with semantic web technology and,on the basis of ontology-based knowledge base,achieved some semantic query to file repositories.Meanwhile,comprehensively considering both semantic and keyword-based search,a similarity measuring algorithm was proposed,so that the system could effectively meet the requirements of information searching of users and laid a theoretical basis for the research on the semantic search.
Key concepts: Information retrieval, Computer science, Ontology, Semantic search, Semantic similarity, Concept search, Explicit semantic analysis, Ontology-based data integration