This paper describes an approach (and its implementation) on how to handle the large number of data from user centered engineering processes. It uses objectoriented abstraction me...
Motivated by the study of algorithmic problems in the domain of information security, in this paper, we study the complexity of a new class of computations over a collection of va...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
We report on the results of a series of experiments with a prototype text retrieval system which uses relatively advanced natural language processing techniques in order to enhanc...