Therefore, effective and efficient methods for computing similarity between vertices across different graphs are still expected.
如何高效地计算两个图之间的相似度的方法仍有待研究。
Methods: By comparing HPLC maps of Semen Raphani samples prepared with different methods and computing similarity, (analysis) the change law of the components group.
方法：通过不同制备方法莱菔子供试样品hplc图谱的比较和相似度计算，分析其成分群的变化规律。
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。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
在基于实例的机器翻译中，句子相似度计算是实例匹配的有效机制。
The semantic relationships between multi-context key words are taken into account and the fuzzy similarity matrix is derived from non-distance computing in this method.
该方法不仅考虑了多背景关键词之间的语义关系，而且通过非距离计算得到模糊相似矩阵。
Local similarity pattern is proposed as a new method for computing image similarity.
局部相似模板是一种计算图像相似度的新方法。
All kinds of approaches to computing the semantic matching degree on IFS, including those of near compactness, semantic distance, similarity and compound conditions match, are discussed.
讨论了计算直觉模糊集语义匹配度的若干途径，包括贴近度、语义距离、相似度、复合条件的匹配等。
In this thesis, similarity computing was studied and the emphasis is sentences similarity computation based on word similarity computation.
本文在词语相似度计算的基础上重点研究了中文信息处理中的句子相似度。
Similarity between query and documents was obtained through computing the similarity between weigh terms of documents and query, and most matching documents were provided.
讨论了检索文档集和检索请求的相似性计算，从而找到与检索请求匹配的文档。
Documents similarity computing with attribute barycenter coordinate model is a relatively new method, but the semantic information easily loss and is inefficient.
基于属性的重心剖分模型是一种较为新颖的文档相似度计算模型，但容易导致语义信息丢失和效率低下。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
Aiming at the characteristics of patent documents, this paper presents a computing method of sentence similarity based on pseudo-LCS.
针对专利文献专业术语相对较多、形式规范、语言严谨的特点，本文提出了一种基于伪lcs的句子相似度计算方法。
According to the character of XML tree, a method for computing the similarity of XML structure and an algorithm of XML structure fusion are presented.
根据XML树形结构的特点，提出了XML结构相似度计算方法以及XML树结构融合算法。
In order to save the time of users, we discard the repetitive or similar answers by computing sentence similarity when the system returns the answers to the users.
为了节约用户的时间，在返回给用户答案时，利用计算句子相似度的方法有效去掉重复或相近的答案。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
Sentence similarity computing has been widely used in the field of natural language processing.
句子相似度计算在中文自然语言处理领域有着非常广泛的应用背景。
The sentence similarity computing has been widely used in Chinese information processing.
句子相似度计算在中文信息处理中有若非常广泛的应用。
The article solves the problem of heterogeneous ontology by the technology of computing ontology similarity, the difficult issue is that Ontologies have many attribute and complex relationship.
本文通过本体相似度计算技术来解决本体异构问题，难点在于本体的属性繁多，本体间关系复杂。
Absrtact: word similarity computing is a crucial question in information processing technology. It mainly researches what kind of method to calculate or compare the similarity between two words.
摘要：词语相似度计算是信息处理技术中的一个关键问题，主要研究用什么样的方法来计算或比较两个词语的相似性。
The traditional KNN has a fatal defect that time of similarity computing is huge. The practicality will be lost when the KNN is applied to WEB text categorization with high dimension and huge samples.
传统KNN方法的明显缺陷是样本相似度的计算量很大，使其在具有大量高维样本的Web文本分类中缺乏实用性。
User similarity computing plays a very important role in collaborative filtering systems, user recommendation systems as well as social network services.
用户相似度计算在协同过滤系统、用户推荐系统以及社交网络中有着非常重要的作用。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
Based on the analysis of user relationships in the virtual medical communities, the paper proposes a user similarity computing algorithm based on Medical Subject Headings (MeSH).
在对虚拟医疗社区用户关系进行分析的基础上，提出一种基于医学主题词表的用户相似度计算方法。
Comparing to other sentence similarity computing methods, our method can fully describe the features of the sentence, and then we can get the more accurate result.
该方法与其他方法相比，描述句子的信息更加全面，从而使句子相似度计算更加准确。
Finally, an algorithm for computing document similarity is presented, which filters abnormal information more efficiently.
在信息匹配算法方面，通过计算文档向量之间的相似度，实现网络信息的有效过滤。
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。
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。
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