CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
Jens Fisseler, Gabriele Kern-Isberner, Christoph B...
Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate...
Lexicon development and Part of Speech (POS) tagging are very important for almost all Natural Language Processing(NLP) application areas. The rapid development of these resources...
The paper presents a conceptual solution and an implementation for acquiring, modeling, publishing, retrieving, reusing and maintaining knowledge within XWiki, an open source coll...
Previous studies have shown that text genres can be computationally distinguished by sophisticated computational and statistical methods. The current study adds to the previous bo...
Kyle B. Dempsey, Philip M. McCarthy, Danielle S. M...
In this paper we explore a class of belief update operators, in which the definition of the operator is compositional with respect to the sentence to be added. The goal is to pro...
James P. Delgrande, Francis Jeffry Pelletier, Matt...
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...