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Semantic Associative Search and Space Integration Methods Applied to Semantic Metrics for Multiple Medical Fields

机译:语义关联搜索和空间集成方法应用于多个医疗领域的语义指标

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Semantic associative search and semantic space integration are promising and significant functions for obtaining appropriate and significant information resources in multimedia database and knowledge base environments. Semantic space creation and integration for semantic associative search are essentially important for realizing advanced semantic associative search environments and synergy effects among different domain fields. This paper presents implementation and application of our semantic associative search and semantic space integration methods to actual medical fields. This implementation realizes a domain-specific semantic associative search and semantic space integration by referring to domain-specific encyclopedias. This paper also shows the feasibility and applicability of the semantic associative search environment with integration of those medical fields. Several experimental results are shown to clarify the feasibility and applicability of the semantic associative search environment in actual medical fields.
机译:语义关联搜索和语义空间集成是获取多媒体数据库和知识库环境中的适当和重要信息资源的有效和重要功能。语义空间创建和对语义关联搜索的集成对于实现不同域字段之间的高级语义关联搜索环境和协同效果基本要重要。本文介绍了我们对实际医疗领域的语义关联搜索和语义空间集成方法的实施和应用。该实现通过参考域特定的百科全书来实现域特定的语义关联搜索和语义集成。本文还显示了语义关联搜索环境的可行性和适用性,与这些医疗领域的集成。示出了几种实验结果阐明了语义关联搜索环境在实际医疗领域的可行性和适用性。

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