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语义检索在实际应用中主要面临用户查询意图获取困难、语义分析能力和语义扩展能力较差、单本体覆盖范围小、概念语义不丰富、自动化程度和可视化功能低等问题。针对此,文章提出一种基于本体集成的自动语义检索及可视化模型。实验表明:该模型不仅能够提高检索结果的准确率,而且可以很好地满足新一代语义Web环境下用户精准检索及可视化检索的需求。
In practical applications, semantic retrieval mainly faces the problems of user query intent acquisition difficulty, semantic analysis ability and semantic expansion ability, single ontology coverage, lack of conceptual semanteme, low degree of automation and visualization. In view of this, the article proposes an automatic semantic retrieval and visualization model based on ontology integration. Experiments show that this model can not only improve the accuracy of the search results, but also meet the needs of accurate user search and visual retrieval under the new generation of semantic Web.