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author:

Chen, Sheng-Qun (Chen, Sheng-Qun.) [1]

Indexed by:

EI Scopus

Abstract:

Traditional mixed index method combines the inverted file with a structure index and implements the retrieval of both context and structure. However, it is neither efficient nor supports for xml documents updating. this study presents a novel mixed index method to overcome these disadvantages. It can be used to optimize the query of path expression, decrease the number of update operations, accelerate the process of real-time update and shorten the response time. Experiments show that our strategy is effective and efficient. © 2010 IEEE.

Keyword:

Artificial intelligence XML

Community:

  • [ 1 ] [Chen, Sheng-Qun]School of Public Administration, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Chen, Sheng-Qun]Department of Information Technology, Fujianjiangxia University, Fuzhou 350108, China

Reprint 's Address:

  • 陈圣群

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Source :

Year: 2010

Volume: 2

Page: 64-67

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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