semantic cluster的例句大全

The documents in semantic cluster are semantically related with query by the query-guided activation, decreasing the risk caused by topic distraction of feedback documents.

以用户查询为导向的激活方式在语义上将聚类下的文档与查询关联起来，克服了反馈文档主题分散同现带来的风险。

and then a cluster scene based on double slide shot window that has similar content and semantic is formed.

提出了一种基于双滑动镜头窗口的聚类方法，将内容相似语义相同的镜头聚合在一起形成新的场景。

the rdf-based dynamic semantic search algorithm is discussed, and on the basis a cluster-based rdf dynamic semantic search algorithm is proposed.

对基于RDF的动态语义检索算法进行了探讨，在它的基础上提出了一种基于簇的RDF动态语义检索算法。

Resource clustering refers to the process that dividing the resources which belong to the same topic and have high similarity of contents between each other into a cluster according to the semantic connotation of the resources, and then specifying a semantic label for every cluster.

资源聚类是指按照资源所包含的语义内容，将内容相似度较高、属于同一主题的资源划分为一个类别，并为每一个类别指定一个语义标签的过程。

In this thesis, we show how the cluster label discovery can be accomplished with the use of the Latent Semantic Indexing technique and how to organize the discovered labels into a hierarchical label tree.

本文将详述如何使用隐含语义分析的方法来发现类别标签以及将标签组织为层次型标签树。

For existing Web service discovery mechanism inefficiencies and the precision rate is not high, we proposed an ontology-based semantic Web services cluster and discovery framework. Firstly, we proposed the ontology-based Semantic Web service description model.

针对现有的Web服务发现机制中存在的效率低下和查准率不高的两个问题，提出了一种基于本体的语义Web服务聚类和发现框架。首先，提出了基于本体的语义Web服务描述模型。

The information insufficient problem of original query is solved by using the method mentioned above. ( 2) A result reconfiguration method based on semantic topic cluster is designed to re-ranking initial results.

设计了基于语义主题聚类的结果排序方法，对初始检索结果进行重排序。

A novel chinese text subject extraction method based on word clustering was presented. This method analysed the co-occurrence of words by using relativity calculation to create semantic relativity and generated a word cluster which represents a subject conception and is presented by seed words.

提出了一种基于词聚类的中文文本主题抽取方法，该方法利用相关度对词的共现进行分析，建立词之间的语义关联，并生成代表某一主题概念的用种子词表示的词类。

Experimental results show that the algorithm can keep semantic connection of documents with high document cluster accuracies.

对该算法进行了实验分析。结果表明，该算法在保持文档语义联系的同时，其对文档的聚类有较高的准确性。