Abstract

Abstract
Forecasting is a task with many concerns, such as the size, quality, and behavior of the data, the computing power to do it, etc. This letter proposes the dynamic mode decomposition (DMD) as a tool to predict the annual air temperature and the sales of a stores' chain. The DMD decomposes the data into its principal modes, which are estimated from a training data set. It is assumed that the data is generated by a linear time-invariant high order autonomous system. These modes are useful to find the way the system behaves and to predict its future states, without using all the available data, even in a noisy environment. The Hankel block allows the estimation of hidden oscillatory modes, by increasing the order of the underlying dynamical system. The proposed method was tested in a case study consisting of the long term prediction of the weekly sales of a chain of stores. The performance assessment was based on the best fit percentage index. The proposed method is compared with three neural networkbased predictors.

Abstract
To support the full adoption of Cyber-Physical Systems (CPS) in modern production lines, effective solutions need to be extended to the technological domains of robotics and industrial automation. This paper addresses the description, application and results of usage of the Open Scalable Production System (OSPS) and its underlying skill-based robot programming ideology to support machine tending of additive manufacturing operations by a mobile manipulator. © 2019, Springer Nature Switzerland AG.

Abstract
Very few quantitative studies assess the impact of IPR protection mechanisms on the competitiveness of companies, particularly those whose creation and existence is often attributed to high technology/knowledge intensity. The present study aims to fill this gap. Through a direct survey targeting startups located in S&T parks and incubators, we assess the direct and indirect impact of IPR protection mechanisms. Logistics estimations based on a sample of 48 Portuguese companies suggest that, considered globally, formal IPR protection is detrimental to the companies' competitiveness. Notwithstanding, when IPR protection mechanisms are discriminated by type, the results indicate that the use of informal protection mechanisms, such as lead time and trade secrets, fosters the companies'competitiveness, whereas the use of formal protection mechanisms, in particular, patents, trademarks and geographical indications, negatively impacts on competitiveness. The size and innovation profile of the company intermediates the influence of IPR protection on its competitiveness. (C) 2018 Journal of Innovation & Knowledge. Published by Elsevier Espana, S.L.U.

Abstract
The aim of this chapter is to present a domain model that represents the informational needs of transparency (governance structure and accountability dimensions) in Portuguese cooperatives. A domain model is an abstract representation of a reality and a milestone in the development of a metadata application profile (MAP). A community of practice publishes linked open MAP-based data for these data to be interoperable; this means intelligent software/agents can aggregate these data, provide different types of visualizations, infer from the data, and ultimately provide new discoveries. This model was developed having as basis the information obtained from the accomplishment of a focus group, and the analysis of financial reports and websites of seven Portuguese cooperatives. The authors will continue to work on the domain model to include 1) other dimensions that also contribute for transparency in the organizations and 2) other types of entities of the social economy (SE). The final aim is to define a model representing the needs of transparency of all types of European SE entities.

Abstract
In the context of digital transformation by governments, the public sector and other organizations, many information is moving to digital platforms. Chatbots and similar question-answering systems are becoming popular to answer information queries, opposed to browsing online repositories or webpages. State-of-the-art approaches for these systems may be laborious to implement, hard to train and maintain, and also require a high level of expertise. This work explores the definition of a generic framework to systematically build question-answering systems. A sandbox implementation of this framework enables the deployment of turnkey systems, directly from already existing collections of documents. These systems can then be used to provide a question-answering system communication channel to enrich the organization digital presence.