Abstract
Cutting and Packing problems are hard Combinatorial Optimization problems that naturally arise in all industries and services where raw-materials or space must be divided into smaller non-overlapping items, so that waste is minimized. All the Cutting and Packing problems have in common the existence of a geometric sub-problem, originated by the natural item non-overlapping constraints. An important class of Cutting and Packing problems are the Irregular Packing problems that occur when raw materials have to be cut into items with irregular shapes. Irregular Packing problems, also known as Nesting problems, naturally arises in the garment, footwear, tools manufacturing and shipbuilding industries, among others. Each industrial application has its owns particular issues mainly related to the raw material's specific characteristics. Several challenges remain open in the Irregular Packing problems field. Some are due to the combinatorial nature of these problems. Others are of geometric nature, due to the non-convex and non-regular geometry of the items involved. Moreover these geometric challenges do not allow the combinatorial ones being properly tackled. This paper is mainly focused on presenting and discussing efficient tools and representations to tackle the geometric layer of nesting algorithms that capture the needs of the real-world applications of Irregular Packing problems. © 2013 IFAC.

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Knowledge is an important resource for organisations, and being able to manage it is a key factor for success. New information management and knowledge sharing approaches should be able to cope not only with possible variations in business situations and contexts, but also with various and sometimes discordant viewpoints, which are inherent to collaborative environments. Developing, reusing and maintaining common interpretations of available information is crucial to support real-word organisational activities. The particularly challenging problem of knowledge elicitation is tackled here combining terminological and knowledge representation views. A corpus-based conceptual modelling architecture was designed and discussed together with the workflows for real-time context retrieval and lexical pattern discovery. The practical implementation and validation of this work are accomplished on the ConceptME system, a platform developed as part of this research line, providing knowledge and terminological tools and resources to support activities that involve collaborative conceptualisation processes according to the ColBlend method.

Abstract
Due to its promising effects on the economic development, innovation networks have been recognized as an important instrument for the industrialization of regions and nations. Therefore, the creation of innovation networks has been fostered by national and regional innovation systems, as several EU nations are launching clustering and networking incentive programs. For example, the German Government initiated in 2002 an incentive program to foster the creation of innovation networks between SMEs, large enterprises, and research institutes. This research aims at identifying different strategies used in practice for the intentional creation of innovation networks by means of a multi-case study on a German enterprise that adhered to the German Government incentive in order to create nine networks during the past three years. Through this exploratory study, we were able to identify three distinctive strategies used by the network managers for the intentional creation of innovation networks: Cooperation Project, Partner Alignment, and Activity Alignment.

Abstract
This paper describes an action-research approach to the specification of an ontology to be applied in the information organisation of a community of forest planning experts. Like many others, a community of forest planning experts does not see their technical domains in unison, rather it voices several points of view that need to be shared and understood. This research started by addressing the practical problem of achieving an effective information structure and organisation for a semantic wiki platform. This was supported by a method and platform for the collaborative specification of ontologies: conceptME. Simultaneously, an empirical study was carried out aiming at understanding better how a technical community pragmatically develops conceptual representations of a domain. The results of this research show the benefits of collaboration in the development of conceptual models for knowledge organisation and information retrieval.