Scalable Distributed Indexing and Query Processing Over Linked Data

2012 ◽  
Author(s):  
Marcel Karnstedt ◽  
Kai-Uwe Sattler ◽  
Manfred Hauswirth
Keyword(s):  
Query Processing ◽  
Linked Data ◽  
Distributed Indexing

Scalable distributed indexing and query processing over Linked Data

2012 ◽  
Vol 10 ◽  
pp. 3-32 ◽  
Author(s):  
Marcel Karnstedt ◽  
Kai-Uwe Sattler ◽  
Manfred Hauswirth
Keyword(s):  
Query Processing ◽  
Linked Data ◽  
Distributed Indexing

scholarly journals P2P-Based Query Processing over Linked Data

2014 ◽  
pp. 339-368
Author(s):  
Marcel Karnstedt ◽  
Kai-Uwe Sattler ◽  
Manfred Hauswirth
Keyword(s):  
Query Processing ◽  
Linked Data

scholarly journals Federated query processing on linked data: a qualitative survey and open challenges

2015 ◽  
Vol 30 (5) ◽  
pp. 545-563 ◽  
Author(s):  
Damla Oguz ◽  
Belgin Ergenc ◽  
Shaoyi Yin ◽  
Oguz Dikenelli ◽  
Abdelkader Hameurlain
Keyword(s):  
Query Processing ◽  
Linked Data ◽  
Optimization Methods ◽  
Qualitative Comparison ◽  
Source Selection ◽  
Qualitative Survey ◽  
Web Of Data ◽  
Clear Insight ◽  
Federated Query Processing ◽  
The Web

AbstractA large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing approaches used in this interlinked and distributed environment, and then focus on federated query processing on linked data. We provide a detailed and clear insight on data source selection, join methods and query optimization methods of existing query federation engines. Furthermore, we present a qualitative comparison of these engines and give a complementary comparison of the measured metrics of each engine with the idea of pointing out the major strengths of each one. Finally, we discuss the major challenges of federated query processing on linked data.

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