Electronic Government applications aim to deliver efficient, seamless, customer-focused services to the public using various distribution channels. One of challenges in building such applications is the requirement to rely upon preexisting, often heterogeneous government applications. In order to enable communication…

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine…

A methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS); it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the…

Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

When stakeholders are geographically distributed communication presents new challenges for software engineering community. In order to improve communication between stakeholders, we have previously proposed to apply learning style models to characterise the way people interact. In this work we enhance…

This document describes a research and development project - Semantic Web and Cooperative Problem Solving for Online Communities of Practice. The aim of the project is to build a system supporting Cooperative Problem Solving within the framework of online Communities…

The concept of “approximate” searching has applications in a vast number of fields. Some examples are non-traditional databases (e. g. storing images, fingerprints or audio clips, where the concept of exact search is of no use and we search instead…

Data integration is the process of unifying data sharing some common semantics but are originated from unrelated sources. In our work we consider these sources are autonomous, heterogeneous and they are physically distributed. These three characteristics make the integration task…

Time and change are notions that seems unavoidable in some areas of work and investigation, languages that can deal with these notions are necessary. At the same time, methods for a proper time handling are quite complex, mainly because problem’s…

The Unified Modeling Language (UML) is a language for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. UML supports the most typical software modeling problems; however, due to the diversity of software development domains, there may be…