This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…

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…

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…

Ensuring the correctness of a given software component has become a crucial aspect in Software Engineering and the Model Checking technique provides a fully automated way to achieve this goal.
In particular, the usage of Model Checking in formal languages…

This work describes two media converter prototypes for transmitting 10Mb/s & 100Mb/s Ethernet data over large core (1mm) Step-Index Polymer Optical Fiber (SI-POF). In terms of reach, both prototypes greatly outperform previously published results and current commercial media converters based…

Ontologies serve as a mean to establish a conceptually concise basis for communicating knowledge for many purposes. Within the information integration area, ontologies are useful to solve heterogeneity problems. They provide a set of knowledge terms, including the vocabulary, the…

DATA QUALITY IS DEGRADED DURING THE PROCESS OF EXTRACTING AND MERGING DATA FROM MULTIPLE HETEROGENEOUS SOURCES. BESIDES, USERS HAVE NO INFORMATION REGARDING THE QUALITY OF THE ACCESSED DATA. THIS DOCUMENT PRESENTS THE METHODS UTILIZED TO ASSESS DATA QUALITY AT MULTIPLE…

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…