scholarly journals Enterprise 2.0 – Literature Taxonomy and Usage Evaluation

Author(s):  
Mayla Alimam ◽  
Emmanuel Bertin ◽  
Noël Crespi
Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.


2018 ◽  
pp. 209-219
Author(s):  
Sven Ahlheid ◽  
Gernot Gräfe ◽  
Alexander Krebs ◽  
Dirk Schuster
Keyword(s):  

Author(s):  
Michael Koch ◽  
Alexander Richter ◽  
Bernhard Katzy
Keyword(s):  

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