• Semantic retrieval pivotal technique is semantic expansion.

    语义检索的关键技术就是语义扩展。

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  • Two experiments were conducted to investigate the semantic retrieval for Chinese language.

    对汉语语义记忆的提取进行了两个实验。

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  • Visual retrieval is a new technology which integrates graphic generation with semantic retrieval.

    可视化检索技术是图形生成和语义检索相结合的一种新技术。

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  • This paper mainly researches how to apply ontology to IR systems, to implement semantic retrieval.

    本论文主要研究如何将本体技术应用到信息检索系统中,从而实现语义检索。

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  • The semantic retrieval of news video is implemented by the annotation of scene through metadata annotation.

    通过引入元数据的标注完成对场景的标注,实现用户的语义查询。

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  • Our work also includes the overall design of the system framework and the design of high-level semantic retrieval module.

    设计工作还包括整体系统框架的设计和高级语义检索模块的设计等。

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  • This paper also introduces the knowledge representation of Chinese idioms and the automatic process of semantic retrieval.

    文章还介绍了成语的知识表达方法和自动的语义检索过程。

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  • The experimental results show that the image annotation tool improves the performance of semantic retrieval substantially.

    实验表明,本标注工具应用到图像语义检索系统中,大幅度的提高了语义检索的性能。

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  • A semantic retrieval method based on domain ontology is a useful way to resolve the problems in the information retrieval area.

    基于领域本体的语义检索被认为是解决目前信息检索领域中所面临的困难的途径之一。

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  • A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.

    提出一种在小样本的情况下,基于多层贝叶斯网络的医学图像语义建模方法。

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  • Absrtact: Constructing ontology on military communication domain is used for supporting semantic retrieval on database which is based on domain ontology.

    摘要:构建军事通信领域本体主要是用于支持基于领域本体的数据库语义查询。

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  • Semantic retrieval can be used to overcome the shortcomings of traditional retrieval techniques based on lexical matching, and is the trend of information retrieval.

    语义检索能克服传统的基于关键词匹配检索的缺点,是信息检索的发展趋势。

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  • How to more deeply achieve the semantic information in the process of semantic retrieval, and embody the retrieval algorithm more deeply, are our goals in the future.

    如何在语义检索过程中更深层次地体现语义信息,以及完善检索算法是我们今后工作的目标。

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  • Using co-word analysis to construct concept space and realize semantic retrieval is one of the research hotspots in information organization and retrieval fields at present.

    利用共现分析构建概念空间,实现语义检索,是当前信息组织和检索领域研究热点之一。

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  • Based on these technics the paper makes a deep research on the working process and mechanism of semantic retrieval, and makes the design of semantic information retrieval systems.

    然后论文结合这些理论技术深入探讨了语义检索系统的工作流程、机制,完成了语义检索系统的设计。

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  • In this paper, based on a systematic study of semantic retrieval and personalized learning, a personalized learning resource retrieval models based on semantic have been proposed.

    本文在系统地研究语义检索和个性化学习的基础上,提出了一种基于本体的个性化学习资源语义检索模型。

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  • How to enable the information to have the application procedure understandable meaning and realize semantic retrieval, these questions are the challenges which the information retrieval domain faces.

    如何使信息具有应用程序可以理解的语义,实现信息资源的语义检索,这些问题是信息检索领域所面临的挑战。

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  • The former allows easy searches, semantic context and information retrieval, whereas the latter enables efficient editing in an advanced hypertext environment.

    前者有助于搜索、语义上下文和信息检索,而后者让用户能够在高级超文本环境中进行高效的编辑。

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  • Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.

    情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。

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  • By semantic analysis and semantic inference, the relationship among resource could be fully used to implement the relevant information resource retrieval and semantic fusion.

    通过语义分析和语义推理,可以充分利用信息资源之间的关系实现相关信息资源检索与语义融合。

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  • A novel automatic image annotation approach is proposed to bridge the semantic gap of content-based image retrieval.

    针对图像检索中的语义鸿沟问题,提出了一种新颖的自动图像标注方法。

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  • SIR can significantly enhance the recall and precision of the information retrieval by the semantic inference. Finally, the practicability of the SIR model is analyzed.

    最后分析了SIR的可用性,证明了SIR可极大地提高语义网上信息检索的查全率和查准率。

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  • Traditional techniques of CBIR try to retrieve images through analyzing the similarity of image visual features, but CBIR cannot meet the requirements of semantic image retrieval.

    传统CBIR技术试图通过分析图像视觉特征的相似性来检索图像,这不能满足普通人按语义检索图像的需求。

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  • Therefore, it is still an unsolved problem about how to integrate with semantic features to achieve better connection between the lower physical features and the image content for efficient retrieval.

    因此,如何结合语义特征,使得所抽取的低层物理特征和图像内容所表示的语义特征之间建立良好的联系,实现高效的图像检索,仍是很长一段时间内需要研究解决的问题之一。

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  • This paper presented a method of medical images retrieval about sternums based on texture features combining with semantic information.

    提出一种结合图像分块纹理特征和语义信息的医学胸片图像检索方法。

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  • Audio data can be static or dynamic, and the audio retrieval can be at expression level or semantic level.

    音频数据的存在形式有静态与动态之分,在检索层次上也有表示级检索和语义级检索之分。

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  • Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.

    对模型在文献检索中的应用进行了初步探讨,包括两方面:导航浏览和基于语义相似度计算的条件查询。

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  • This paper proposes a method of image semantic annotation and retrieval based on concept distribution.

    基于概念分布进行检索是实现图像语义检索的方法之一。

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  • Extraction of object in an image is a precondition for semantic image retrieval.

    图像目标提取是图像语义抽取及其应用的基础。

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  • Extraction of object in an image is a precondition for semantic image retrieval.

    图像目标提取是图像语义抽取及其应用的基础。

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