Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
This paper explores an inferential system for recognizing visual patterns. The system is inspired by a recent memoryprediction theory and models the high-level architecture of the...
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...