Abstract
Partner selection in virtual enterprises (VE) can be viewed as a multi-criteria decision making problem that involves assessing trade-offs between conflicting tangible and intangible criteria. In general, this is a very complex problem due to the dynamic topology of the network, the large number of alternatives and the different types of criteria. In this paper we propose an exploratory process to help the decision-maker obtain knowledge about the network in order to identify the criteria and the companies that best suit the needs of each particular project. This process involves a multi-objective tabu search metaheuristic designed to find a good approximation of the Pareto front, and a fuzzy TOPSIS algorithm to rank the alternative VE configurations. In the exploratory phase we apply clustering analysis to confine the search according to the decision-maker beliefs, and case base reasoning, an artificial intelligence approach, to totally or partially construct VEs by reusing past experiences. Preliminary computational results clearly demonstrate the potential of the approach for practical application.

Abstract
A virtual enterprise (VE) is a temporary organization that pools the core competencies of its member enterprises and exploits fast changing market opportunities. The success of such an organization is strongly dependent on its composition, and the selection of partners becomes therefore a crucial issue. This problem is particularly difficult because of the uncertainties related to information, market dynamics, customer expectations and technology speed up. In this paper we propose an integrated approach to rank alternative VE configurations in business environments with uncertainty, using an extension of the TOPSIS method for fuzzy data, improved through the use of a stochastic multiobjective tabu search meta-heuristic. Preliminary computational results clearly demonstrate the potential of this approach for practical application.

Abstract
This paper presents an innovative approach to support the definition of strategies for the design of alternative configurations of hospital supply chains. This approach was developed around a hybrid Tabu Search / Variable Neighbourhood Search metaheuristic, that uses several neighbourhood structures. The flexibility of the procedure allows its application to supply chains with different topologies and atypical cost characteristics. A preliminary computational experience shows the approach potential in solving large scale supply chain configuration problems. The future incorporation of this approach in a broader Decision Support System (DSS) will provide a tool that can significantly contribute to an increase of healthcare supply chains efficiency and encourage the establishment of collaborative partnerships between their members.

Abstract
Current knowledge about the early phases of ontology construction is insufficient to support methods and techniques for a collaborative construction of a conceptualization. Following an approach inspired in cognitive semantics, the application and extension of the Conceptual Blending Theory (CBT) to the realm of collaborative semantic tools is proposed. A formal framework is presented together with some examples in the collaborative networks context. A collaborative semantic architecture is presented. This architecture supports the two components of the proposed method: collective conceptualization and consensus reaching.

Abstract
This paper presents our method to support the collaborative conceptualisation process focusing our strategy for building consensus in the context of collaborative networks. This new strategy comes from the application of the results and recommendations obtained in an experimental evaluation performed in the scope of a large European project in the area of industrial engineering. The usage of our strategy and the collaborative platform supporting semantic consensus building in the scope of the European research project H-Know is described.

Abstract
A case study involving a new method to support the collaborative construction of semantic artefacts in an inter-organizational context is described. The method aims at being applied, in particular, in the early phases of ontology development. We share the view that the development of semantic artefacts in collaborative networks of organizations should be based on a continuous construction of meaning, rather than pursuing the delivery of highly formalized accounts of domains. For that, our research is directed to the application of cognitive semantics results, specifically by developing and extending the Conceptual Blending Theory to cope with the socio-cognitive aspects of inter-organizational ontology development. An evaluation experiment for this method is accomplished in the scope of a large European project in the area of industrial engineering. The method evaluation and its results are described.