Sergio Alejandro Gómez

Learn More
Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input , and a number of clusters c1,. .. cm modeling some concept C results as an output, such that every cluster ci is labeled as positive or negative. In such a setting clusters can overlap, and a new unlabeled instance can be assigned to(More)
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed , such as datamining programs, information-filtering systems, etc. Although ML algorithms allow the detection and extraction of interesting patterns(More)
The notion of forms as a way of organizing and presenting data has been used since the beginning of the World Wide Web. Web-based forms have evolved together with the development of new markup languages, in which it is possible to provide validation scripts as part of the form code to test whether the intended meaning of the form is correct. However, for(More)
The Semantic Web is a future vision of the web where stored information has exact meaning, thus enabling computers to understand and reason on the basis of such information. Assigning semantics to web resources is addressed by means of ontology definitions which are meant to be written in an ontology description language such as OWL-DL that is based on(More)
Ontology merging refers to the process of creating a new ontology from two or more existing ontologies with overlapping parts. The δ-ontologies framework allows to reason with possibly inconsistent Description Logic ontologies by interpreting them in Defeasible Logic Programming, which is an approach to common-sense reasoning based on defeasible(More)
  • 1