NDLI: Parallel processing the keyword search in uncertain environment

Content Provider	IEEE Xplore Digital Library
Author	Bo Ning Xiaoping Zhou Yimin Shi
Copyright Year	2012
Description	Author affiliation: School of Information Science and Technology, Dalian Maritime University, No.1 Linghai Road, Dalian, 116026, China (Bo Ning; Xiaoping Zhou; Yimin Shi)
Abstract	XML is nature to express the uncertainty in real world, therefore the data in uncertain environment can be stored it the format of XML. For improving the efficiency of keyword search in uncertain environment, we use dewey code for indexing the XML elements, which is a kind of prefix-based encoding method. When dealing with big data, the lengths of element's Dewey codes are quit big, which leads to low efficiency of judging the relationships among the elements and needs large storage space. Thus, the big XML data and complicated XML schema are the bottlenecks of keyword search. In this paper, we incorporate the map-reduce mechanism to manage the uncertain data with partition, and design a parallel method to process information retrieve. The different XML fragments are stored in distributed network, and these can be parallel processed to retrieve the Smallest Lowest Common Ancestors (SLCAs) and return the k results with the largest probabilistic values. In our experiment, the result shows that our approach can improve the efficiency of executing parallel keyword search.
Starting Page	409
Ending Page	414
File Size	358986
Page Count	6
File Format	PDF
ISBN	9781467309448
e-ISBN	9781467309455
e-ISBN	9781467309431
DOI	10.1109/ICSSE.2012.6257218
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Keyword Search SLCA Keyword search XML Probabilistic logic Data models Parallel Processing Partitioning algorithms Indexes Uncertain Data
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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