例句與造句

1. This paper refers to the indexing technologies of b ~ + - tree in dbms , and combine it with the sparse numbering schema , and proposes a new indexed structure ? b ~ + - tree structural index . it is very important for the optimization of join operation and element location in xml query
   本文將關(guān)系數(shù)據(jù)庫(kù)中b樹索引技術(shù)與sparsenumberingschema相結(jié)合，提出了一種新的xml文件索引結(jié)構(gòu)? ? b ~ +樹結(jié)構(gòu)索引，它對(duì)xml查詢中連接操作和元素定位操作的優(yōu)化有著重要作用。
2. Xml information retrieval syslem differs greatly from traditional information retrieval system in the construction of both inverted text index and structural index , the evaluation of both keyword based query and structure based query , and the effects of structural information on result relevance ranking
   Xml信息檢索系統(tǒng)與傳統(tǒng)的信息檢索系統(tǒng)不同，主要體現(xiàn)在：建立索引時(shí)不僅需要建立倒排文本索引，還需要建立結(jié)構(gòu)信息索引；查詢處理時(shí)不僅需要處理關(guān)鍵字查詢條件，還需要處理結(jié)構(gòu)化查詢條件。
3. To manage large - scale xml documents with complicated structure , this dissertation focus on the efficient structural indexing algorithm for xml data , result size estimation problem for xml structure based query optimization , result relevance ranking algorithm , and infrastructure for xml query processing for both text - rich and data - rich xml documents . to address the aforementioned issues , this dissertation makes the following contributions . first , it investigates the drawbacks of existing indexing algorithm for xml data , and propose a dynamic indexing algorithm for xml data based on d - bisimilarity , difx
   為滿足結(jié)構(gòu)復(fù)雜、大規(guī)模的xml數(shù)據(jù)管理需要，本文深入研究了xml信息檢索系統(tǒng)中的結(jié)構(gòu)索引算法設(shè)計(jì)和結(jié)構(gòu)化查詢優(yōu)化中的查詢代價(jià)估計(jì)問題，以及查詢結(jié)果和查詢條件間的相關(guān)度算法，主要取得了4個(gè)方面的成果：第一，分析了已有的xml數(shù)據(jù)索引算法中存在的問題，提出了一種高效的動(dòng)態(tài)xml結(jié)構(gòu)索引算法difx ，它采用動(dòng)態(tài)后向結(jié)構(gòu)相似性( d - bisimilarity )的概念，可以根據(jù)實(shí)際查詢需求以及索引最優(yōu)化的要求動(dòng)態(tài)決定索引中保存的結(jié)構(gòu)信息。
4. It's difficult to find structural index in a sentence. 用structural index造句挺難的