DocumentCode
2492493
Title
Efficient SLCA Computing Service for XML Filtering in IaaS
Author
Zhang, Chenjing ; Wang, XiaoLing ; Zhou, Aoying
Author_Institution
Shanghai Key Lab. of Intell. Inf., Fudan Univ., Shanghai, China
fYear
2010
fDate
6-8 April 2010
Firstpage
277
Lastpage
283
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.
Keywords
Internet; XML; document handling; information filtering; IaaS; Internet; SLCA computing service; XML data; XML document collection; XML filtering; XPath query; centralized index; cloud computing; continuous XML document; continuous XML streams; dynamically computing services; information as a service; information filtering services; information retrieval approaches; smallest lowest common ancestor-based XML keyword search; Algorithm design and analysis; Buildings; Cloud computing; Information filtering; Information filters; Information retrieval; Keyword search; Large-scale systems; Web and internet services; XML; SLCA; XML; keyword search;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Conference (APWEB), 2010 12th International Asia-Pacific
Conference_Location
Busan
Print_ISBN
978-1-7695-4012-2
Electronic_ISBN
978-1-4244-6600-9
Type
conf
DOI
10.1109/APWeb.2010.63
Filename
5474127
Link To Document