El artículo trata sobre el uso de información lingüística en la Desambiguación Semántica Automática (DSA). Proponemos un método de DSA basado en conocimiento y no supervisado, que requiere sólo un corpus amplio, previamente etiquetado a nivel morfológico, y muy poco…

In this paper, we present an approach to student's evaluation in a well-defined domain based on a semantic network. A similarity matrix based on the semantic memory structure of humans is used to build a semantic distance model in order…

An audience driven philosophy for web site design takes the different target audiences as an explicit starting point, and organizes the basic navigation structure accordingly. However, for the designer it is not always easy, or sometimes even impossible, to assess…

Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

This paper describes a natural language system START. The system analyzes English text and automatically transforms it into an appropriate representation, the knowledge base, which incorporates the information found in the text. The user gains access to information stored in…

The so-called diversity-multiplexing tradeoff characterizes the fundamental interaction between the robustness and capacity gains obtainable from multiple-input and
multiple-output (MIMO) systems in fading environments. This thesis develops practical schemes for approaching the optimal tradeoff in various delay and complexity
regimes.…

Purpose – The idea that knowledge management can be a potential source of competitive advantage has gained strength in the last few years. However, a number of business actions are needed to generate an appropriate environment and infrastructure for knowledge…

The Listener is an automated system that unintrusively performs knowledge acquisition from informal input. The Listener develops a coherent internal representation of a description from an initial set of disorganized, imprecise, incomplete, ambiguous, and possibly inconsistent statements. The Listener can…

Current approaches to generation for machine translation make use of direct-replacement templates, large grammars, and knowledge-based inferencing techniques. Not only are rules language-specific, but they are too simplistic to handle sentences that exhibit more complex phenomena. Furthermore, these systems are…

This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…