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• W3176758286 abstract "To solve the problem of empty or incongruent results in semantic queries, the paper proposes a flexible query method based on ontology knowledge base. First, it constructs the ontology knowledge base for university domain, then defines transformation mechanism of fuzzy conditions, and provides transformation methods of fuzzy conditions for numeric types and non-numeric types, on the basis of which the conversion function is defined to fuzzy treat inaccurate conditions from query conditions, and finally the search engine of standard SPARQL is called to implement the query operation. According to the proposed flexible query model, a visual intelligent retrieval system for university resource was developed, we constructed some query instances and invited some users to evaluate the availability of the system, and the corresponding experiment results verified the effectiveness of the system proposed." @default.
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• W3176758286 date "2021-01-01" @default.
• W3176758286 modified "2023-09-24" @default.
• W3176758286 title "An Ontology-Based Query System for University Domain" @default.
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• W3176758286 doi "https://doi.org/10.1007/978-3-030-70665-4_69" @default.
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