We adopt local context analysis to extract characteristic words from the documents retrieved by a user query , then apply subsumption approach and resemble approach in discovering terms relationships . the dynamic knowledge is composed of these extracted terms and term relationships , as well as user ' s feedback information . dors expands user ' s query according to the dynamic kno wledge 我们采用局部上下文分析法从检索结果中提取与查询相关的特征词，然后采用包含方法和相似方法判定这些特征词之间的相关关系，并利用所提取的概念与概念之间的关系以及用户的反馈信息动态地构造和更新知识库。
Referring to national 863 high - tech project , the main content in this paper was introduce as follows : 1 . representing personal information query , which make user no more fretful about useful keywords . users can provide keywords more easily , customize specific topic and retrieval vector , which match the information user is looking for 本文以国家863高技术项目现实需求为背景,主要工作和研究内容如下: ( 1 )个性化的查询表现技术,使用户不再为向系统提供简单有限的特征词而烦恼,可以帮助用户更好的表达个人的兴趣专题,定制专题知识库。
Chinese title , english title , author , the affiliation and address of the first author , journal title , publication year , volume , issue , page , publication type , check tag , history of medicine , grant type , subject headings , classification code , language , chinese abstract , english abstract , animal variety , dosage forms , pharmacology of chinese herbs , pharmacology , name of disease , diagnosis standard , pathogenesis , trial type , treatment of disease , name of drug and formula , chemical name of medicines , english name of medicines , ingredients and dosage of formula , drug compatibility , usage and dosage , acupuncture and tuina points , acupuncture and tuina manipulation , side effect , therapeutic effect guideline , result of cure , materia medica , chemical structure , physical and chemical properies , effective component , chinese medicine identification , method of processing , pharmaceutical techniques , medicinal action and pharmacological effect , pharmacokinetics , and toxicology 中文文题、英文文题、作者、第一作者单位、第一作者所在地、期刊名称、出版年、卷、期、页码、文献类型、特征词、医学史、资助类型、主题词、关键词、分类号、语种、中文文摘、英文文摘、动物品种、剂型、中药药理、西药药理、疾病名称、诊断标准、疾病机理、试验方法、疾病治疗、药名方名、化学药名、英文药名、组成剂量、药物配伍、用法用量、针推穴位、针推方法、不良反应、疗效指标、疗效结果、药材学、化学结构、理化性质、有效成分、中药鉴定、炮制方法、制药工艺、药物作用与药理效用、药代动力学、毒理学。
Text classification techniques mostly rely on single term analysis of the document data set , while more concepts , especially the specific ones , are usually conveyed by set of terms . to achieve more accurate text classifier , more informative feature including frequent co - occurring words in the same sentence and their weights are particularly important in such scenarios 文本分类技术的关键之一在于特征词或特征词组的选择，一篇文档的主题并不是与文档中的所有的词相关，因此如何挑选判断一篇文档中的主题词或词组作为文档的特征词或词组就成为了关键所在。
