This paper deals with lifelong learning. Based on a three-year case study it provides evidence of innovations in this area. The paper aims to add to the body of work in blended learning by providing evidence of knowledge, persuasion, decision,…

This paper presents a group of elements to improve the teaching and learning in technological education, applied to Information and Communication Technologies (ICT). These elements are based on some contributions issued from contemporary education models, namely, the thematic approach, meaningful…

The area of Knowledge Representation and Reasoning has been enriched during the past two decades with the addition of Argument-Based Reasoning Systems. Defeat between arguments is established by a combination of two basic elements: a conflict or defeat relation, and…

Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature space transformation whereas some others compared the performance of different algorithms. Recently, following the rising interest towards the Support Vector Machine, various studies…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

Adaptive systems behavior based on user models appear promising, mostly for complex environments such as mixed reality environments (MRE).
An MRE comprises a virtual representation of the reality as well as physical objects augmented with virtual features. These objects are…

Defeasible Logic Programming (DeLP) is a knowledge representation and reasoning formalism that by combining Logic Programming with Defeasible Argumentation is able to represent incomplete and potentially contradictory information.
Within the field of Logic Programming, most of the implementations of Prolog…

In the last few years, several studies have emphasized the use of ontologies as an alternative to organization of the information.
The notion of ontology has become popular in fields such as intelligent information integration, information retrieval on the Internet,…

There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…

This work describes the ontology construction process for the development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity – SISBIO. The system aims at the production of strategic information for the biofuel chain Two main…