This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.
This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate.Are improvements in growth in Sub-Saharan Africa (SSA) since the mid-1990s sustainable? What types of growth strategies contribute the most to reducing poverty? This paper examines these questions in four stages. First, it explores the factors contributing to the post-1995 improvement in growth. Second, to shed some light on factors associated with substantial jumps in growth rates that are sustained in the medium term, an analysis of the correlates of growth accelerations is presented. Third, the paper examines the consistency of the SSA data with some important predictions from the literature directly linking such areas as fiscal policy, financial development, or institutions and growth. Fourth, it reviews recent evidence regarding lessons on the type of growth process that is most effective at raising the incomes of the poor.
Abstract. This paper presents some important directions in the use of ontologybased semantics in achieving the vision of Autonomic Communications. We examine the requirements of Autonomic Communication with a focus on the demanding needs of ubiquitous computing environments, with an emphasis on the requirements shared with Autonomic Computing. We observe that ontologies provide a strong mechanism for addressing the heterogeneity in user task requirements, managed resources, services and context. We then present two complimentary approaches that exploit ontology-based knowledge in support of autonomic communications: service-oriented models for policy engineering and dynamic semantic queries using content-based networks. The paper concludes with a discussion of the major research challenges such approaches raise.
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