Efficient SLCA computing service for XML filtering in IaaS

Chenjing Zhang, Xiaoling Wang, Aoying Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Cloud provides dynamically computing services for large scales of data over the Internet. IaaS(information as a service) is one of utilities to provide information service in Cloud computing. Large scales of XML data are produced continually in Internet. Efficient information filtering services are needed. Previous XML filter approaches aim at XPath queries. However, many users tend to use keywords to describe requirements. SLCA (Smallest Lowest Common Ancestor)-based XML keyword search is one of the most important information retrieval approaches. Former approaches focus on building centralized index for a large scale of XML document collection and can't process continuous XML streams. This paper addresses SLCA computing service for continuous XML document. A novel SLCA computing service is designed, where SLCAs are obtained in one scan of XML stream. We demonstrate the efficiency of our algorithms analytically and experimentally.

Original languageEnglish
Title of host publicationAdvances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010
Pages277-283
Number of pages7
DOIs
StatePublished - 2010
Event12th International Asia Pacific Web Conference, APWeb 2010 - Busan, Korea, Republic of
Duration: 6 Apr 20108 Apr 2010

Publication series

NameAdvances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010

Conference

Conference12th International Asia Pacific Web Conference, APWeb 2010
Country/TerritoryKorea, Republic of
CityBusan
Period6/04/108/04/10

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