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
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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
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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
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