Mediterranean Desertification and the Economic System

This paper reviews the role of market, population growth, social issues, developmental policies, and other (minor) economic variables contributing to Mediterranean desertification. These variables were classified as describing the micro-economic and macro-economic factors suitable to assure a better comprehension of the environmental-economic nexus. Micro-economic factors like the higher prices and lower wages in the primary sector, as well as the reduction of off-farm employment reflect some potential causes of LD. It was also argued how technical change, agricultural input prices, and household income may affect land vulnerability but their contribution to this ecological problem is poorly known. On the contrary, the role of macroeconomic factors such as population density, poverty, and environmental policies, although more extensively studied on a qualitative base, was regarded as important but still relatively ambiguous, and needs further quantitative studies. Territorial disparities in land distribution, as well as increasing rural poverty and unsustainable management of soil and water were described as a consequence of the process triggering Mediterranean desertification. The effectiveness of policies aimed at mitigating LD and thus reducing desertification risk was finally discussed.Land degradation, desertification, economic system, micro-economic causes, macro-economic factors, Mediterranean basin

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: NL

Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: N

Electronic institutions with normative environments for agent-based E-contracting

Tese de doutoramento. Engenharia Informática. Faculdade de Engenharia. Universidade do Porto. 201

Methodology for Seamless Supply Chain Planning

Today, enterprises are typically in a constant process of acquiring and updating its information technologies, however typically without an overall view of the global inter and intra enterprise’s system integration. Researchers have been proposing methodologies and platforms to assist such integration of applications and data. However, implementing new technologies in organizations is a difficult task, since its quality needs for architectures development are more exigent and critical than ever, due to the systems complexity, dimension and to the interoperability requirements to interact with third party applications and infrastructures. This paper proposes a methodology for seamless Supply Chain Planning (SCP), by using a domain reference ontology, data model representation standards, software components evaluation and interoperability checking processes. The methodology VALTE is used to assure that enterprises use tools for SCP compliant to semantics, represented in a common reference ontology, created by the MENTOR methodology. These two horizontal methodologies are vertically supported by interoperability checking processes, which assure an interoperable supply chain planning system

An Agent-Based Cockpit Task Management System

An agent-based program to facilitate Cockpit Task Management (CTM) in commercial transport aircraft is developed and evaluated. The agent-based program called the AgendaManager (AMgr) is described and evaluated in a part-task simulator study using airline pilots

Recreation, tourism and nature in a changing world : proceedings of the fifth international conference on monitoring and management of visitor flows in recreational and protected areas : Wageningen, the Netherlands, May 30-June 3, 2010

Proceedings of the fifth international conference on monitoring and management of visitor flows in recreational and protected areas : Wageningen, the Netherlands, May 30-June 3, 201

Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17

An Exploration into the Process of Requirements Elicitation: A Grounded Approach

Requirements elicitation (RE) is a critical phase in information systems development (ISD), having significant impacts on software quality and costs. While it has remained a key topic of interest for IS researchers, a review of the existing literature suggests that there are very few studies examining how the social process associated with RE unfolds. Prior literature acknowledges that this process involves collaboration between RE participants (e.g., user-reps and systems analysts) where knowledge regarding the system requirements is shared, absorbed, and co-constructed, such that shared mental models of the requirements can form. However, collaboration and knowledge sharing within the RE process has been characterized as tenuous in the literature, given that the groups of RE participants bring very different kinds of knowledge into this activity, and trust among the two parties cannot be guaranteed at any point. Despite acknowledgement of the tenuous nature of RE, we are not aware of research that has attempted to present an integrated view of how collaboration, knowledge transfer, and trust influence the RE process. Using data from two different organizations and adopting a grounded approach, this study presents an integrative process model of RE. The study’s findings suggest that RE is composed of four different collaborative states. The study elaborates on the four states, and identifies important factors that tend to trigger transitions from one state to another