基于本体集成的自动语义检索及可视化模型  

Automatic Semantic Retrieval and Visualization Model Based on Ontology Integration

作　　者：郑伟青[1] 

机构地区：[1]浙江工业职业技术学院图书馆,浙江绍兴312000

出　　处：《情报科学》2013年第5期77-83,共7页Information Science

摘　　要：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。It still faces some problems such as hard to acquire user query intention, the lower semantic analysis ability and semantic expansion ability, the coverage area of single ontology is comparatively small, and with the poor concept semantics ,the lower automatic level and visualization functions, etc. For solving these problems, this paper puts forward a kind of automatic semantic retrieval and visualization model based on ontology integration. Experiment show： the proposed model can not only improve the precision of the retrieved results, but also well satisfy users＇ demand of accurate retrieval and visual retrieval under the environment of the newly semantic Web.

关 键 词：本体集成 查询扩展 语义检索 可视化模型 

分 类 号：G254[文化科学—图书馆学]