The success of the Seman-tic Web leads to ever-growing amounts of data that are being generated, interlinked and consumed. Han-dling this massive volume is a serious challenge, where scalable
Big-data is the expression used to describe large data sets, which are complex and require analysis ...
Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, sinc...
Today, data is growing at a tremendous rate and, according to the International Data Corporation, it...
Scalable, adaptive and robust approaches to store and analyze the massive amounts of data expected f...
Abstract. Scalability requirements for semantic stores lead to distributed hardware-independent solu...
As more and more data is being generated by sensor networks, social media and organizations, the Web...
Traditional approaches for data storage and analysis are facing their limits when handling the enorm...
With a huge amount of RDF data available on the web, the ability to find and access relevant informa...
With a huge amount of RDF data available on the web, the ability to find and access relevant informa...
Modern internet applications, scientific applications have created a need to manage immense amounts ...
The Semantic Web has become a dynamic and enormous network of typed links between data sets stored o...
The Semantic Web has become a dynamic and enormous network of typed links between data sets stored o...
The Web of Data currently comprises ≈ 62 billion triples from more than 2,000 different datasets cov...
ABSTRACT: Huge information alludes to information volumes in the reach of Exabyte (1018) and past. S...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
Big-data is the expression used to describe large data sets, which are complex and require analysis ...
Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, sinc...
Today, data is growing at a tremendous rate and, according to the International Data Corporation, it...
Scalable, adaptive and robust approaches to store and analyze the massive amounts of data expected f...
Abstract. Scalability requirements for semantic stores lead to distributed hardware-independent solu...
As more and more data is being generated by sensor networks, social media and organizations, the Web...
Traditional approaches for data storage and analysis are facing their limits when handling the enorm...
With a huge amount of RDF data available on the web, the ability to find and access relevant informa...
With a huge amount of RDF data available on the web, the ability to find and access relevant informa...
Modern internet applications, scientific applications have created a need to manage immense amounts ...
The Semantic Web has become a dynamic and enormous network of typed links between data sets stored o...
The Semantic Web has become a dynamic and enormous network of typed links between data sets stored o...
The Web of Data currently comprises ≈ 62 billion triples from more than 2,000 different datasets cov...
ABSTRACT: Huge information alludes to information volumes in the reach of Exabyte (1018) and past. S...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
Big-data is the expression used to describe large data sets, which are complex and require analysis ...
Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, sinc...
Today, data is growing at a tremendous rate and, according to the International Data Corporation, it...
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