Data DNA: The Next Generation of Statistical Metadata

Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users

Organic Rural Innovation Systems and Networks: Findings From a Study of Ethiopian Smallholders

Agriculture in Ethiopia is changing. New players, relationships, and policies are influencing the ways in which information and knowledge are used by smallholders. While this growing complexity suggests opportunities for Ethiopian smallholders, too little is known about how these opportunities can be effectively leveraged to promote pro-poor processes of rural innovation. This paper examines Ethiopia’s smallholder agricultural sector from an innovation systems perspective to understand the changing roles, responsibilities, and interactions of diverse actors in relation to smallholder livelihoods. The paper uses a combination of qualitative and quantitative research tools to paint a picture of the innovation landscape at both the system and local levels. Findings suggest that public sector extension, administration, and related service providers form a closely-knit network in rural Ethiopia with the ability to influence smallholder access to knowledge and information. Given the Government of Ethiopia’s priorities of improving rural welfare by increasing market access among smallholders, these findings suggest the need for policies and programs designed to strengthen innovative capabilities among rural service providers from the public sector, and to create more space for private and civil society actors to participate in smallholder innovation networks.Ethiopia, Agricultural development, innovation, technology, Social networks, Social learning, Agribusiness, Agricultural and Food Policy, Consumer/Household Economics, Farm Management, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, International Relations/Trade, Marketing, Productivity Analysis, Research and Development/Tech Change/Emerging Technologies,

Knowledge web: realising the semantic web... all the way to knowledge-enhanced multimedia documents

The semantic web and semantic web services are major efforts in order to spread and to integrate knowledge technology to the whole web. The Knowledge Web network of excellence aims at supporting their developments at the best and largest European level and supporting industry in adopting them. It especially investigates the solution of scalability, heterogeneity and dynamics obstacles to the full development of the semantic web. We explain how Knowledge Web results should benefit knowledge-enhanced multimedia applications

Liquid Journals: Knowledge Dissemination in the Web Era

In this paper we redefine the notion of "scientific journal" to update it to the age of the Web. We explore the historical reasons behind the current journal model, and we show that this model is essentially the same today, even if the Web has made dissemination essentially free. We propose a notion of liquid and personal journals that evolve continuously in time and that are targeted to serve individuals or communities of arbitrarily small or large scales. The liquid journals provide "interesting" content, in the form of "scientific contributions" that are "related" to a certain paper, topic, or area, and that are posted (on their web site, repositories, traditional journals) by "inspiring" researchers. As such, the liquid journal separates the notion of "publishing" (which can be achieved by submitting to traditional peer review journals or just by posting content on the Web) from the appearance of contributions into the journals, which are essentially collections of content. In this paper we introduce the liquid journal model, and demonstrate through some examples its value to individuals and communities. Finally, we describe an architecture and a working prototype that implements the proposed model

Knowledge formalization in experience feedback processes : an ontology-based approach

Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understand and to solve the problems that happen in their organizations. Continuous improvement methodologies are powerful tools in order to understand and to solve problems, to control the effects of changes and finally to capitalize knowledge about changes and improvements. These tools involve suitably represent knowledge relating to the concerned system. Consequently, knowledge management (KM) is an increasingly important source of competitive advantage for organizations. Particularly, the capitalization and sharing of knowledge resulting from experience feedback are elements which play an essential role in the continuous improvement of industrial activities. In this paper, the contribution deals with semantic interoperability and relates to the structuring and the formalization of an experience feedback (EF) process aiming at transforming information or understanding gained by experience into explicit knowledge. The reuse of such knowledge has proved to have significant impact on achieving themissions of companies. However, the means of describing the knowledge objects of an experience generally remain informal. Based on an experience feedback process model and conceptual graphs, this paper takes domain ontology as a framework for the clarification of explicit knowledge and know-how, the aim of which is to get lessons learned descriptions that are significant, correct and applicable

Dissemination of Health Information within Social Networks

In this paper, we investigate, how information about a common food born health hazard, known as Campylobacter, spreads once it was delivered to a random sample of individuals in France. The central question addressed here is how individual characteristics and the various aspects of social network influence the spread of information. A key claim of our paper is that information diffusion processes occur in a patterned network of social ties of heterogeneous actors. Our percolation models show that the characteristics of the recipients of the information matter as much if not more than the characteristics of the sender of the information in deciding whether the information will be transmitted through a particular tie. We also found that at least for this particular advisory, it is not the perceived need of the recipients for the information that matters but their general interest in the topic