Belief Revision systems are logical frameworks to modeling the dynamics of knowledge. That is, how to modify our beliefs when we recieve new information. The main problem arises when the information is inconsistent with beliefs that represents our epistemic state.…

Inside an organization there is information that can only be generated by people, then, when a decision maker in any time and anywhere of an organization requires this information, he/she has to solicit it to who has the ability of…

It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other layers which overlay the contours, and reconstructing…

Argumentation systems have substantially evolved in the past few years, resulting in adequate tools to model
some forms of common sense reasoning. This has sprung a new set of argument-based applications in diverse
areas.
In previous work, we defined how…

Most of the search engines available over the Web are based on mathematical approaches | classical techniques in the Information Retrieval area. Thereby, they are suitable for the retrieval of documents containing some or all the terms of a query,…

When using tableaux algorithms to reason about Description Logics (DLs), new information is inferred from the models considered while trying to achieve knowledge satisfiability. By focusing the ontology change problem, we consider an environment where DLs are the logical formalization…

Decision making models for autonomous agents are recently receiving increased attention, particularly in the feld of intelligent robots. This work presents a Defeasible Logic Programming approach to decision making in an environment with single and multiple robots. We will show,…

Ontology integration is the problem of combining data sources in the SemanticWeb. Concepts in source ontologies are captured in terms of concepts de ned in a global ontology. When some of these ontologies are inconsistent, the knowledge engineer often has…

Universidad Nacional de La Plata (UNLP) Intellectual Creativity Diffusion Service (SeDiCI) was formed mainly to publicise the knowledge acquired at the different academic areas of our university, having the goal of restoring to the community the efforts expended on public…