Then the three parts can be integrated into the semantic similarity of two concepts.
然后将三个相似度分量加权综合得到概念间的综合语义相似度。
Semantic similarity computation is a key problem of information processing technology.
语义相似度计算是信息处理技术中的一个关键问题。
The measurement of concept similarity is defined by semantic similarity and semantic distance.
相似度的度量由语义相似度和语义距离来定义。
This paper puts forward an integrated method based on semantic similarity and semantic relevancy.
提出了基于语义相似度和相关度的综合概念相似度计算方法。
Experiment results on natural images show good retrieval quality based on the semantic similarity measure method.
通过对自然图像库的实验结果表明，该方法在相似图像检索中具有更好的性能。
After modified appropriately, it could be used in most fields using the computation of sentence semantic similarity.
对其进行适当的改进后，可适于多数需要计算句子相似度的应用领域。
The connection pattern between meanings formed on semantic similarity and cannot be separated from syntactic positions.
词义之间的关联模式是在语义相似性的基础上形成的，并与句法位置分不开。
Combined with semantic similarity of text data, this paper gives a method of text data clustering based on semantic density.
结合文本数据的语义相似度，给出一种基于语义密度文本数据聚类的方法。
When generalizing patterns, semantic similarity of words and synonym extension are used to make the patterns more selective.
模板泛化时，引入词汇语义相似度计算和同义词扩展，提高模板覆盖率。
Semantic similarity among geospatial entity classes is an important theoretic problem in categorical database generalization.
地理空间实体类型语义相似度对于类型数据库综合具有重要理论意义。
Semantic similarity is the crucial factor affecting the precision rate and recall rate of semantic information retrieval system.
语义相似度是影响语义检索系统查准率和查全率的重要因素。
Second, we make a conversion from users' query to the thesaurus, then calculate the semantic similarity in the thesaurus network.
对用户的检索，进行查询词到主题词的转化，计算语义相似度，按照 语义相似度算法进行排序文档。
The present semantic similarity algorithms are analyzed and a hybrid similarity measure is proposed based on semantic distance and dynamic weight.
分析了现有的概念相似度的算法，提出了基于语义距离和动态权重的混合概念间语义相似度算法。
This paper introduces a SCORM learning resource model for semantic similarity measurement, researching and integration of the SCORM learning resources.
提出了一种用于SCORM学习资源语义相似度度量、搜索与整合的SCORM学习资源模型。
In this thesis, the sentence correlation is a weighted average of word correlation including semantic similarity and context correlation with key word.
词语相关度包括了词语语义相似度和词语与语境核心词的语境关联度，并且考虑了词序因素。
The traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.
传统的语义相似度计算方法大都利用结点间的语义距离来衡量，难以保证计算的准确性。
Test result shows that compared with traditional similarity model of word frequency, the weighted semantic similarity model improves the precision obviously.
实验表明，本文提出的基于语义树的加权语义相似度模型与传统的词频相似度模型相比，准确率有明显提高。
Recently, almost all current approaches rely on distance between low-level features for judging semantic similarity, and then understand the content of image.
目前几乎所有的图像分类方法都依赖于用图像底层特征间的距离来度量图像内容的语义相似度，实现对图像内容的理解。
On the other hand, a proper distance metric, which reflects the semantic similarity between images, is obtained by using a distance metric learning algorithm.
另一方面，对线性融合后的特征，利用距离测度学习算法从图像训练集中学到一个距离函数以更恰当的反映图像内容间的相似度。
The paper proposes a model of concept semantic similarity computation based on thesaurus and semantic distance, and describes its computation process in detail.
提出基于叙词表、基于距离的概念语义相似度计算方法，详细叙述其计算流程。
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。
By analyzing two traditional semantic similarity computation methods and modifying the problems in them, this paper puts forward a compositive method based on ontology.
通过分析两种传统的语义相似度计算方法，对它们存在的问题进行改进，提出了一种综合的基于本体的概念语义相似度计算方法。
Semantic Web; Ontology; Adaptive Learning; Learner Model; Knowledge Management; Intelligent Reasoning; Cognitive Ability; Constructivism; Semantic Distance; Semantic Similarity.
语义网；本体；自适应学习；学习者模型；知识管理；智能推理；认知能力；建构主义； 语义距离； 语义相似度。
In this paper, factors that affect ontological semantic similarity are analyzed and quantified, and a distance-based semantic similarity calculation model for concepts is proposed.
该文分析和量化了影响本体语义相似度的各种因素，并提出了一种基于距离的概念语义相似度计算模型。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
Paralleled sentences with the adverb "Hai" meaning "in addition" are characterized by their parallel and symmetric syntax, and semantic similarity in symmetric parts of paralleled structures.
现代汉语表“补充增加”意义的副词“还” ，其平行句式的特点是：句法结构平行对称，对应的结构成分语义上有类同性。
The images are arranged based on the semantic relationship between words, and thus, according to the researchers, the project explores "the relationship between visual and semantic similarity."
这些图片根据单词间的语义关系被排列组合，因此，研究者说，这项计划探索了视觉和语义相似性间的关系。
TCUSS algorithm measures the document similarity by semantic similarity of concepts in concept lists, then clusters the document based on graph analysis, thus avoiding the restrict of clusters shape.
TCU SS算法利用两个概念列表中单词间的语义相似度作为文档间相近程度的度量，并以图为基础进行聚类分析，避免有些聚类算法对聚簇形状的限制。
In semantic similarity, we think about the semantic distance and the characteristics of ontology, the concept's amount of information, the depth of concept, the density of concept and symmetry factor;
语义相似度考虑了语义距离和本体库特征，加入概念的信息量、概念的深度、概念的密度和不对称因子的辅助影响；
In semantic similarity, we think about the semantic distance and the characteristics of ontology, the concept's amount of information, the depth of concept, the density of concept and symmetry factor;
语义相似度考虑了语义距离和本体库特征，加入概念的信息量、概念的深度、概念的密度和不对称因子的辅助影响；
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