Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...
We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable ity and ...
Pablo N. Mendes, Bobby McKnight, Amit P. Sheth, Je...
We perform a survey into the scope and utility of opinion mining in legal Weblogs (a.k.a. blawgs). The number of `blogs' in the legal domain is growing at a rapid pace and ma...
We reuse here the framework, the setting, and the semantic modelling for the automated synthesis of the SWS Challenge Mediator presented in the companion paper [5], and show how to...
Christian Kubczak, Tiziana Margaria, Matthias Kais...