NDLI: MapReduce based query of structural engineering experimental data

Content Provider	IEEE Xplore Digital Library
Author	Xiaohui Zhang Yi Liang Ruihua Di Cuicui Yang
Copyright Year	2010
Description	Author affiliation: School of Computer Science, Beijing University of Technology, BJUT, China (Xiaohui Zhang; Yi Liang; Ruihua Di; Cuicui Yang)
Abstract	Structural Engineering Cloud Platform (SECP) is a resource sharing platform oriented to structural engineering domain, and the share of structural engineering experimental data is one of its main functions. In SECP, there are two kinds of experimental data, which are Experimental Description Data (EDD) and Experimental Result Data (ERD). The model of EDD was built based on OWL ontology for shielding the heterogeneity of experimental data from different experimental sites. With the increasing of data scale, the query of EDD has been a bottleneck of the whole management system in SECP. Based on MapReduce, this paper designed and implemented a EDD query system (EDDQS). EDDQS supports query based on SPARQL and there are four core modules named Data Splitter, Query Generator, Job Generator as well as Job Executor. Furthermore, the algorithm of job generation from SPARQL query and job execution algorithms are presented. Finally, the results of our experiments reveal that our MapReduce based query system can handle large amount of EDD efficiently.
Starting Page	1282
Ending Page	1287
File Size	413210
Page Count	6
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5690564
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Query OWL Semantics Structural Engineering Experiment Data Generators Resource description framework Structural engineering Time factors Pattern matching OWL(key words) MapReduce
Content Type	Text
Resource Type	Article

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