共查询到19条相似文献，搜索用时 109 毫秒
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协同标注系统的语义丰富 总被引：1，自引：0，他引：1
提出利用语义网技术语义丰富协同标注系统的方法,通过对协同标注系统的标签进行标准化处理,利用标签的共现分析出标签的意思组,并将其与相关本体的SWTS(概念、属性、实例)映射,从而丰富标签的语义,以改善协同标注系统的检索结果. 相似文献
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本文利用SOM神经网络的自组织特征,对delicious网站的典型标签族进行分类,从而识别社会化标注系统中标签的语义维度,为信息用户对标签的使用提供语义方面的参考。 相似文献
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标注语料库中句子的语义信息应该要有一套完整的规范体系。文章通过利用汉语框架和框架元素体系进行标注,首先介绍基于汉语框架的语义标注方法的概念,接着从句法性能、短语类型和框架元素标注这三个方面对汉语框架语义标注的具体规则进行阐述;最后,通过与其他语义标注方法的比较,分析得出框架语义标注的特点。 相似文献
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在领域本体已知和文本语义标注主要步骤的基础上,本文用数据挖掘技术实现文本语义信息的获取,提出了文本语义分析与标注的基本思想和处理流程,深入探讨了用聚类分析完成实例分析与标注过程,用关联挖掘和分类方法完成实例间关系的分析与标注过程。 相似文献
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This paper proposes collaborative filtering as a means to predict semantic preferences by combining information on social ties with information on links between actors and semantics. First, the authors present an overview of the most relevant collaborative filtering approaches, showing how they work and how they differ. They then compare three different collaborative filtering algorithms using articles published by New York Times journalists from 2003 to 2005 to predict preferences, where preferences refer to journalists’ inclination to use certain words in their writing. Results show that while preference profile similarities in an actor’s neighbourhood are a good predictor of her semantic preferences, information on her social network adds little to prediction accuracy. 相似文献
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本文借鉴文本检索领域的研究成果,利用标注文字信息描述单个模型的语义,采用语义树表达三维模型间的语义,基于WordNet计算检索关键词与语义树中节点的语义相似性,返回语义相关性强的模型。提出较灵活的返回策略,筛选各语义相关节点的代表模型,便于用户进一步优化检索结果。实验结果表明,基于语义树的三维模型检索方法能够提高信息检索的效率,具有较高的理论及应用价值。 相似文献
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科学的语义学作为一种语言分析的方法论工具在历史上处于不断完善的过程中,同时语义学的科学性内在地要求语义的语境基础的建立和巩固。从这个层面上来说,霍根所提出的语境语义学实现了狭隘的微观语义分析向系统整体语义分析的转变。在语境论的视阈中,意义与语境具有本质的关联,意义并非直接等同于真值的确定性,而是具有了动态和语用的特征。语境语义学作为霍根语言分析思想的理论基础,在语言模糊性问题的考察与研究中得到了深化和扩展;同时霍根在自然主义纲领的基础上捍卫了语境语义学的本体论地位,并且在将实在论立场与语境语义学结合的过程中强烈地突出了意义的文化社会结构特征,这从一个侧面反映了语境语义学分析视域的拓展和完善。 相似文献
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《Information processing & management》2016,52(4):571-591
This work presents a content based semantics and image retrieval system for semantically categorized hierarchical image databases. Each module is designed with an aim to develop a system that works closer to human perception. Images are mapped to a multidimensional feature space, where images belonging a semantic are clustered and indexed to acquire its efficient representation. This helps in handling the existing variability or heterogeneity within this semantic. Adaptive combinations of the obtained depictions are utilized by the branch selection and pruning algorithms to identify some closer semantics and select only a part of the large hierarchical search space for actual search. So obtained search space is finally used to retrieve desired semantics and similar images corresponding to them. The system is evaluated in terms of accuracy of the retrieved semantics and precision-recall curves. Experiments show promising semantics and image retrieval results on hierarchical image databases. The results reported with non-hierarchical but categorized image databases further prove the efficacy of the proposed system. 相似文献
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＂只＂与＂だけ＂在句法、语义、语用三个平面各有异同。句法上结构基本一致,差异主要表现在语序上,语义范畴基本相同,但是语义指向却有很大差异。语用上两者都有限制和强调的功能。 相似文献
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This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages. 相似文献
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基于机器学习的图像检索机制的研究 总被引：1，自引：1，他引：1
主要针对当前基于低水平特征的图像检索机制不能捕获图像语义的状况 ,讨论了使用长期学习的方法来学习用户的相关反馈 ,以此推断语义 ,构造语义空间 ,并结合短期学习方法 ,通过运用学习监督机制来推断用户信息需求 ,优化查询 ,逐步提高搜索引擎的性能 相似文献