Joaquín Borrego Díaz

Confidence-based reasoning with local temporal formal contexts

Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). In this paper we analyse how to apply FCA reasoning to increase confidence in sports betting, by means of detecting temporal regularities from data. It is applied to build a Knowledge based system for confidence reasoning.

iaBastos: An Intelligent Marketplace for Agricultural Products

In this paper we present a multi-agent platform designed to support p2p auctions on agricultural products. Experiments show that it could be feasible to integrate a platform, which is de-centralized by nature, into the current socioeconomic environment. The reason is that this market is managed by hard-centralized ecosystem, and experiments with our system show a significant reduction in marketing margins for the benefit of consumers and producers.

Towards a Soft Evaluation and Refinement of Tagging in Digital Humanities

In this paper we estimate the soundness of tagging in digital repositories within the field of Digital Humanities by studying the (semantic) conceptual structure behind the folksnonomy. The use of association rules associated to this conceptual structure (Stem and Luxenburger basis) allows to faithfully (from a semantic point of view) complete the tagging (or suggest such a completion).

A methodology for the computer-aided cleaning of complex knowledge databases

In environments with complex cognitive structure (such as semantic web or sophisticated spatial databases for geographical information systems), classical methods for detecting anomalies can be inadequate. In this paper the use of an automated theorem prover to detect anomalies in knowledge bases within a complex ontology is proposed. The authors argue that it will need to integrate such systems in some intelligent agents. The loss of real-time execution in some cases. is discussed with examples.