| 1. | The automatic indexing of chinese web pages is based on knowledge database
中文网页的自动标引思想主要基于知识库的概念进行。 |
| 2. | With traditional informatics theory and practice , the paper try on using automatic indexing technology of documents to process web pages
本论文试图从计算机技术和图书情报学理论与实践手段出发，应用文献信息自动标引和组织技术于网页的加工处理过程上。 |
| 3. | The data extraction technology of theme automatic indexing is nearly impossible to solve from foundation . but this research has been got the solicitude of people always in long time
主题自动标引的分词技术很难从根本上解决，所以在很长时间内一直受到人们的关注。 |
| 4. | At the end of the paper , the author tests and evaluates the automatic indexing system in some aspects ; the deficiency of system is also detailed objectively
文章的最后对中文网页自动标引系统从系统标引效率、标引准确率等方面进行了综合测评，并客观分析了系统存在的问题和不足。 |
| 5. | The aim of feature - based index ( fbi ) is automatic index , and yet it cannot be realized because of current academic level in this field . so i primarily discussed cbi in detail in here
基于特征的索引的目标是全自动索引，而基于现有的技术在短期内不可能完全实现，因此在这一部分我们也详细的讲述了基于注释的索引。 |
| 6. | In order to preprocess the text of aircraft fault , a new automatic indexing method based on n - gram is proposed . large quantities of experiments to adjust the parameters of lsi model are done so that the performance of case retrieval system is excellent
本文以系统的检索性能为依据通过大量的实验确定了潜在语义索引模型所使用的权值方案、 k值、相似度阈值等参数。 |
| 7. | The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc
本文主要的工作是围绕五个方面展开的：建立网络环境下基于xml的xmarc信息描述理论体系，比较设计领域的xmarc元数据，构建以“关键词+主题词+范畴号”标识的知识关系k - s - c ( keyword - subject - category ) ，建立xmarc主题知识的标引方摘要法及其算法，提出xmarc主题知识的分类与词句概念检索方法。 |
| 8. | And then , the paper use the measure of literal similarity to classify the chinese web pages , which based on lots of experiential classifying data . then , the author uses borland delphi and visual foxpro to develop an automatic indexing system , which is used to process chinese web pages . the experiential system is composed of web pages text analysis , automatic words extracting , automatic subject indexing , classifying , indexing result confirmation and knowledge database maintenance
随后，本文利用borlanddelphi 、 visualfoxpro等工具设计并开发了一个包括中文网页文本信息提取、自动抽词、自动主题与分类标引、标引结果处理、知识库维护等功能，用以处理中文网页信息的自动标引实验系统；并简要介绍了系统的设计、工作流程、使用方法及运行条件。 |
| 9. | The ambiguity of automatic indexing has been decreased for special stop - words to be got pretreatment . the time of automatic matching has been shortened by shortest word pushing method . so maximum matching ( mm ) algorithm of automatic indexing has been improved in specifically application field
2 .提出并构建了k一s一c主题概念的语义关系，进而运用于xmarc文本的自动标引，通过预处理特义禁用词以减少分词歧义性，采用短词推进抽词方法以缩短标引时间，改进了传统的mm ( maximummatching最大匹配)自动标引算法。 |
