Abstract
Looking at collaborative networks of organizations as social-technical systems, information and knowledge sharing implies sharing a set of common conceptual structures across organizations. Through this paper, we describe a case study on how to construct meaningful collective conceptualizations by means of a new approach based on conceptual blending theory.

Abstract
This paper describes an approach to the design of performance management models in collaborative networks, from a constructivist approach. The general approach is outlined and the part concerning a multi-criteria decision support method is explained. The paper finishes with an illustration of a scenario for test and validation of the method.

Abstract
The process of collective development of conceptual models has not been satisfactorily addressed in the knowledge representation research literature. Nevertheless, a shared conceptualization of a given reality is the cornerstone to build semantic artifacts such as ontologies. This paper presents a new platform that implements the Col Blend method, designed to support a collaborative conceptualization process. The platform is based on semantic technologies and proposes a set of functionalities for importing, creating, manipulating, discussing and documenting conceptual models that can act e.g., as the specification of a formal ontology. The platform is being tested and used in two research projects(1).

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.