In this position paper, the main steps to measure and evaluate quantitatively the quality of sites are shown. Besides, some specific models, criteria and procedures to apply in these activities are discussed by quoting case studies already performed (e.g., in…

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…

In omplete information is a problem in many aspe ts of a tual environments. Further- more, in many s enarios the knowledge is not represented in a risp way. It is ommon to nd fuzzy on epts or problems with…

Semantic Web is an extension of the current web in which data contained in the web documents are machine-understandable.
On the other hand, Web Services provide a new model of the web in which sites exchange dynamic information on demand.

The great advance of the communications and the importance gained by the mobile systems have increased the development of WAP (Wireless Application Protocol) applications, nevertheless at the present time do not exist methodologies specifically designed for the WAP applications development…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in…

The star model, broadly used in data warehouse modeling, is a logical model, so its representation is strongly dependent on the database technology used for its implementation, usually relational. The method recommended for designing a dimensional system would be the…