Abstract
The early phases of setting up information and knowledge management architectures for inter-organizational teams are complex and problematic mainly due to the actor's heterogeneous professional and cultural backgrounds. The big challenge stands on the proper definition, in short-term, of the concepts and relations, which are the basis of the information and knowledge architecture to be common to the collaborative network. Like this, considering a common conceptualization of a given reality as the cornerstone for information and knowledge sharing among a network of social actors, the core problem is how to create suitable socio-technical tools to support the collaborative process of creating semantic artifacts to be operationalized in some short-term business opportunity.

Abstract
The process of resources systems selection takes an important part in Distributed/Agile/Virtual Enterprises (D/A/V Es) integration. However, the resources systems selection is still a difficult matter to solve in a D/A/VE, as it is pointed out in this paper. Globally, we can say that the selection problem has been equated from different aspects, originating different kinds of models/algorithms to solve it. In order to assist the development of a web prototype tool (broker tool), intelligent and flexible, that integrates all the selection model activities and tools, and with the capacity to adequate to each D/A/V E project or instance (this is the major goal of our final project), we intend in this paper to show: a formulation of a kind of resources selection problem and the limitations of the algorithms proposed to solve it. We formulate a particular case of the problem as an integer programming, which is solved using simplex and branch and bound algorithms, and identify their performance limitations (in terms of processing time) based on simulation results. These limitations depend on the number of processing tasks and on the number of pre-selected resources per processing tasks, defining the domain of applicability of the algorithms for the problem studied. The limitations detected open the necessity of the application of other kind of algorithms (approximate solution algorithms) outside the domain of applicability founded for the algorithms simulated. However, for a broker tool it is very important the knowledge of algorithms limitations, in order to, based on problem features, develop and select the most suitable algorithm that guarantees a good performance

Abstract
When it comes to translators training, the acquisition of indexing and terminological competences (both at retrieval and management stage) has a major role in the performance of future translators. A good terminological database, as a result of an accurate research, along with computer assisted translation tools (CAT tools) can improve translation's speed and quality and also reduce revision costs, bringing in benefits for all the players in the translation industry: language service providers and clients. That process (analysis, selection, retrieval and storage of terminology) takes place mostly in the pre-translation stage, but underlies the whole translation work and can be a determining factor to the quality of the final product and to its homogeneity, especially when carried out in a collaborative environment. The development of terminological databases is an essential step in the training of translators and the efficient search for the right word a necessary skill in today's globalised translation market. Moreover being the quest for the right word almost entirely run over the Internet, data diversity can greatly increase the noise. This search poses several questions, mainly (1) how and where to retrieve information and (2) how to manage it efficiently, especially to students who are neither experts in terminology nor in translation. To ease some of these problems, students were assigned a project in terminology (a database) and, in order to accomplish it, both a Webquest and an ePortfolio were proposed as guidance tools. Along the process, students were expected to build up their thematic and communicative competence and, in parallel, widen their skills in computer-assisted translation tools as well as standard office-automation software. This paper aims at discussing how these two tools helped students guide their research, structure the problem solving activities, develop critical thinking and terminological competencies.

Abstract
A Personal Learning Environment (PLE) reflects, as a concept, the combination of the set of tools that we use around internet, helping to perceive what we are and what we learn. PLEs are able to bring together all learning experiences acquired in different contexts and mix those experiences in order to reflect ones knowledge. This paper aims at analyzing and exploring the advantages of a PLE, focusing specially on the use of ePortfolios in this context, by considering different approaches and exploring the relationship between the development of an e-portfolio and the students learning styles and multiple intelligences. This focus results from our perception that being aware of the students learning preferences is essential to enhance the quality of the teaching-learning environment, developing different kinds of activities and using different learning tools. In order to understand if and how those concepts (ePortfolios, learning styles and multiple intelligences) are related and to develop some understanding on an approach to correlate them, we have used some assessment tools and applied them in a case study in the area of translation and terminology leaning. The study, briefly described in this paper, has been a well succeeded one. However, we expect to foster further knowledge on the factors that should be changed during the teaching-learning process, by detecting and suggesting improvements. For that we will also reflect on what should be done to achieve better results when using ePortfolios, and consider other tools and approaches to enhance this process, such as social networks

Abstract

Abstract
This paper describes an integrated application that performs a geostatistical analysis of data acquired by an AUV in monitoring missions to sewage outfalls. This comes as an effort for automating the procedures of a monitoring campaign from data acquisition to data processing. This application is based on the R statistical software and uses the Gstat package for the geostatistical prediction. R is a console based application that uses software packages developed by the community. The application interfaces with R guiding the user through several steps that perform the geostatistical analysis. It was not our intention to cover all geostatistical procedures but only the ones that are needed for the data processing concerned. The major advantage of this application is that the user does not need to be familiar with methods and data structures associated with the base software, allowing the processing and analysis to be more simple, fast and efficient which is particularly important for routine monitoring. This software application also enables us to give a quicker response in case of contamination to near-by beaches.