DocumentCode :
140997
Title :
Linked Data query processing
Author :
Hartig, Olaf ; Ozsu, M. Tamer
Author_Institution :
Cheriton Sch. of Comput. Sci., Univ. of WaterlooWaterloo, Waterloo, ON, Canada
fYear :
2014
fDate :
March 31 2014-April 4 2014
Firstpage :
1286
Lastpage :
1289
Abstract :
The publication of Linked Open Data on the Web has gained tremendous momentum over the last six years. As a consequence, we currently witness the emergence of a new research area that focuses on an online execution of Linked Data queries; i.e., declarative queries that range over Web data that is made available using the Linked Data publishing principles. These principles only require Web servers that respond to simple requests for data about given entities. Therefore, in contrast to approaches for querying a more traditional distributed database, Linked Data query processing approaches cannot assume that data sources provide query processing functionality. Additional challenges are the unbounded nature of the Web and the lack of a complete, up-to-date database catalog that lists all data sources. Our tutorial provides an overview of the new area of Linked Data query processing. We introduce the foundations of Linked Data queries, discuss the specific challenges that need to be addressed, and review techniques for executing such queries.
Keywords :
Internet; data handling; query processing; Linked Data publishing principles; Linked Data query processing; Linked Open Data; Web data; database catalog; declarative queries; distributed database; Indexes; Query processing; Resource description framework; Semantics; Tutorials; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/ICDE.2014.6816762
Filename :
6816762
Link To Document :
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