The limitations of distributed systems to satisfy the combination of consistency, availability and network partitioning tolerance requirements are well-documented and formally proven. There is however a limited amount of works discussing the impact of these limitations on designing applications native to the Cloud. This work addresses this particular need by proposing an approach for considerin...

Web 2.0 has remarkably changed the internet in recent years. By its focus on technical simplicity and usability, it turned the mere recipients of the early internet into content contributors. Web 2.0 now becomes more and more relevant for the division of labour in modern industrial context and within the service economy. One of the newest communication methods with respect to Web 2.0 is Microbl...

The task of Native Language Identification (NLI) is typically solved with machine learning methods, and systems make use of a wide variety of features. Some preliminary studies have been conducted to examine the effectiveness of individual features, however, no systematic study of feature interaction has been carried out. We propose a function to measure feature independence and analyze its eff...

This paper describes the Nara Institute of Science and Technology (NAIST) native language identification (NLI) system in the NLI 2013 Shared Task. We apply feature selection using a measure based on frequency for the closed track and try Capping and Sampling data methods for the open tracks. Our system ranked ninth in the closed track, third in open track 1 and fourth in open track 2.

Purpose – The purpose of this paper is to develop and promote a realistic understanding of young people and digital technology with a view to supporting information professionals in playing useful and meaningful roles in supporting current generations of young people. In particular the paper aims to offer a critical perspective on popular and political understandings of young people and digital...

We decribe the submissions made by the National Research Council Canada to the Native Language Identification (NLI) shared task. Our submissions rely on a Support Vector Machine classifier, various feature spaces using a variety of lexical, spelling, and syntactic features, and on a simple model combination strategy relying on a majority vote between classifiers. Somewhat surprisingly, a classi...

This paper offers new evidence on the sources of cross-country income differences. It exploits the idea that observing immigrant workers from different countries in the same labor market provides an opportunity to estimate their relative human capital endowments without having to adjust for other sources of country-specific productivity differences. Based on such estimates, a neoclassical growt...

As computational capabilities increasingly outpace disk speeds on leading supercomputers, scientists will, in turn, be increasingly unable to save their simulation data at its native resolution. One solution to this problem is to compress these data sets as they are generated and visualize the compressed results afterwards. We explore this approach, specifically subsampling velocity data and th...

This paper focuses on how we can design Ubiquitous Information Systems (UIS) for digital natives. Digital natives are those who have grown up in a digital world, where the use of information and communications technologies is pervasive and ubiquitous, and where these technologies are used in organisational and personal contexts. Digital natives, unlike digital immigrants, like new technologies ...

Advances in digital technologies and proliferation of the Internet as an ubiquitous platform for communication and information open up new opportunities for teaching and learning in the 21st century. In the past decade, K-12 schools have made considerable investments in the educational technology infrastructure, as evident by the decrease in students-per-computer ratios from 10.8 to 4 in a 10-y...