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.

Abstract

Abstract

Abstract
Containers have been used in past decades increasingly as one of the most important transportation tools. Containers have revolutionized cargo shipping and thus changed the world trade systematically. Container terminals as the transhipment facility play a valuable role in performance of this transportation system. Improvement of this facility has been widely considered in literatures. Automated container terminals (ACTs) have been introduced to pursue this purpose. In ACTs various transport vehicles are automated and integrated to each other. Automated guided vehicles (AGVs) are used in ACTs to handle containers between quay cranes and storage yards. Usually scheduling of the AGVs is known as the key factor to improve the performance of ACTs. This paper proposed a heuristic algorithm to schedule the AGVs concurrently with quay cranes. A genetic algorithm is proposed to optimize the simultaneous scheduling of AGVs and QCs. The results showed that proposed genetic algorithm can be used in practical implications while its running time is reasonably low.