给出了基于潜在语义索引的文本摘要方法。
Text summary based on latent semantic indexing is presented in this paper.
通过语义索引词进行语义推理，可得概念的逻辑视图。
Based on semantic index terms, logical inferences can be performed and the logical views of the concept can be obtained.
本文主要探讨两种实现语义检索的索引：潜语义索引和其修正形式。
This paper discusses two semantic indexing methods:LSI and its revised format IRR.
搜索引擎排名为某网站将通过几个程序在潜在语义索引的搜索引擎优化。
The search engine ranking for a particular website will have to pass several processes in the latent semantic indexing based search engine optimization.
本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。
This paper selects the features of text by using LSI and GA(Genetic Algorithm).
通过对语料进行潜在语义索引和增加FAQ反馈，不断增强系统的回答能力。
It is able to update and improve the answering ability by LSI and FAQ.
潜在语义索引的搜索引擎都不会改变游戏；你将需要更改你的努力汉城大内还清。
Latent Semantic Indexing is going to change the search engine game; you will need to change your seo efforts to pay off big time.
潜在语义索引技术(LSI)是第三代搜索引擎的热点技术，是一种个性化的检索方法。
Latent semantic indexing (LSI), the third generation of search engine's hot technology, is a personalized research approach.
论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。
This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).
文章简要地描述了文本过滤的背景，提出了基于潜在语义索引的中英文双语交叉过滤的逻辑模型。
This paper briefly describes the background of text filtering and puts forward the logic model for Chinese-English cross-language text filtering based on Latent Semantic Indexing.
根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。
This paper presents a new method of text clustering by using the latent semantic index (LSI) and self-organizing neural network (SNN).
在此基础上，详细讨论了将隐含语义索引技术应用于图像检索中的具体方法，并给出了相应的算法。
The method to LSI based image retrieval is discussed in detail, and the corresponding algorithms are given.
基于文本的searcher代理通常都内置有某种类型的自然语言处理，在某些情况下，还具有隐性语义索引。
Text-based searcher agents usually have some kind of natural language processing built in and, in some cases, latent semantic indexing.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
否则，查询语义不允许使用索引。
这个概念并不新——关于术语表和索引进行语义断言这个认识对TopicMaps贡献很大。
This concept isn't new — the recognition that glossaries and indexing make semantic assertions contributed to the development of TopicMaps.
Web索引代理，将文档转变成正式的基于语义 Web 的知识
A Web-indexing agent that turns documents into formal Semantic Web-based knowledge
语义化和遵循标准的编码不只是让你的网站变得清晰，也有助于搜索引擎更好的阅读你的页面。
Semantic and standard coding not only can make your site cleaner, but it also allows the search engines to read your page better.
这里强调了如果想从语义上进行正确的数值比较，则应使用DOUBLE索引。
This underlines that you should use DOUBLE indexes if you want semantically correct numeric comparisons.
这个时刻到了，我现在很高兴给大家介绍一下5个顶级的语义搜索引擎。
Now the time has come and I'm glad to present the top 5 semantic search engines.
一个语义搜索引擎试图通过上下文来解读搜索结果的。
A semantics search engine attempts to make sense of search results based on context.
语义搜索引擎能知晓关键字在某种语义下的使用特点，从而使得搜索结果更为智能和准确。
Semantic search engines are able to understand the context in which the words are being used, resulting in smart, relevant results.
由于语义搜索引擎能更好的知晓某些名词与词条的语义而不是依据统计数据，故此能得到相关性更强的搜索结果。
Using a semantic search engine will ensure more relevant results based on the ability to understand the definition of the word or term that is being searched for, rather than on numbers.
这些新语义对于页面的非视觉用户(包括使用屏幕阅读器这样的辅助技术的用户)和搜索引擎爬虫这样的计算机程序很重要。
These new semantics are important for non-visual users of the page (including anyone using assistive technologies like screen readers) but also for computer programs like search engine crawlers.
处理程序能够识别设计模式并对其声明性语义进行操作，比如，可以提供“how-to”集合的特殊索引。
Processing can recognize the design pattern and operate on its declared semantics; for instance, it can provide a special index for how-to collections
目前这些数据集可以通过非均匀方（heterogeneous）式访问，比如通过语义网页浏览器，或者通过语义搜索引擎爬虫收录。
The data sets currently can be accessed in heterogeneous ways; for example, through a semantic web browser or by being crawled by a semantic search engine.
已经有很多基于语义网的应用，如通用及垂直搜索引擎、文本助理工具、个人信息管理系统、语义浏览工具等等，但在它们为大众所接受之前，还有很长的路要走。
Some consumer applications based on the semantic Web: generic and vertical search, contextual shortcuts and previews, personal information management systems, semantic browsing tools.
如果你对语义搜索引擎感兴趣，建议你看一看这篇文章Stefans article about Juice这里面介绍了一款完全基于语义搜索的Firefox附加组件。
If you're interested in semantic search engines, you should also take a look at Stefan's article about Juice, a Firefox addon whose results are also based entirely on semantics.
如果你对语义搜索引擎感兴趣，建议你看一看这篇文章Stefans article about Juice这里面介绍了一款完全基于语义搜索的Firefox附加组件。
If you're interested in semantic search engines, you should also take a look at Stefan's article about Juice, a Firefox addon whose results are also based entirely on semantics.
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