The development of a data warehouse (DW) system is based on a conceptual multidimensional model, which provides a high level of abstraction in accurately and expressively describing real-world situations. Once this model is designed, the corresponding logical representation must be…

Social knowledge is one of the key aspects of MAS in order to face complex problems in dynamical environments. However, it is usually incorporated without specific support on behalf of the platform and that does not let agents take all…

Computing is a broad discipline that crosses the boundaries between mathematics, science, and engineering. New computing disciplines emerge over time and knowledge changes rapidly in computing. Therefore, several reports that define and update guidelines for computing curricula have appeared over…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

Este artículo describe la integración de ontologías en formato OWL como
fuentes de conocimiento externas de un sistema de diálogo. El presente trabajo se
centra en conseguir un agente que gestione cualquier ontología independientemente
del dominio y sin perder expresividad…

In the last decade several ways to formalize defeasible reasoning have been studied. A particular approach, defeasible argumentation, has been particularly successful to achieve this goal.
The inference process of argument-based systems is based on the interaction of ar- guments…

The CRISTAL project has had significant achievements in the coordination of
the research work carried out by the consortium members on renewables, the enhancement of partners’ knowledge on Renewable Energy Sources and their integrated control and use, which contributes to…

Similarity search systems are designed to help









people to organize multimedia non-text data and find valuable









information. The multimedia data intrinsically has…

In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the…

In systems where agents are required to interact with a partially known and dynamic world, sensors can be used to obtain further knowledge about the environment. However, sensors may be unreliable, that is, they may deliver wrong information (due, e.g.,…