Knowledge Technologies

Proposta de tesi


Grup de recerca

Data Mining Techniques to Discover Knowledge in Databases

The main objective of this line of research lies in the development of data mining tools for knowledge discovery from large amounts of data, represented in multidimensional spaces and coming from different kinds of sources: e.g. design and implementation of parameter-free hierarchical clustering algorithms, which do not require any prior knowledge about the data, including the number of clusters to identify.

The scope of application of these tools is broad and varied, and the data can be found in a wide variety of research fields, including economics, psychology, climatology, biology, computational genomics, statistics, education, information retrieval, text mining, computer vision and machine learning, among many others.

Dr Germán Cobo LAIKA

Knowledge representation, modeling and engineering

This line of research is related to artificial intelligence, to knowledge discovery and to knowledge-based engineering.

One of the goals of artificial intelligence is to develop techniques and methods that allow a computer system to solve problems intelligently. Knowledge representation is concerned with the modelling aspect of this. It is, therefore, related with establishing a framework of understanding within which a collection of individual facts make sense. The key to establishing such a framework is to endow the computer with a capacity for reasoning.

This line of research concentrates on the next fields of artificial intelligence: 1) Artificial morality that explores whether and how artificial agents can be designed in order to act as moral agents; 2) Representations of mental attitudes which allow to capture abstractions of complex human capabilities such as knowledge, belief, desire or imagination; and 3) Formal systems for representing fictional scenarios.  

The work to be performed covers both theoretical and practical aspects, including the design of formal models, as well as the development of software artifacts able to implement intelligent capabilities in interactive decision making environments.

Dr M. Antonia Huertas

Dr M. Elena Rodríguez