977 resultados para document électronique


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Although Chinese corporations were relatively unknown in Latin America until a few years ago, their direct investments in the region have averaged about US$10 billion per year since 2010. Their presence and economic leverage have become very significant in many industries and countries of the region, but their motivation, strategy and procedures are not always well understood by Latin America’s governments, businesses and civil society. Similarly, Chinese companies still need to gain a better understanding of Latin America’s business environment and opportunities. This working document is an input for discussing the future of Chinese foreign direct investment (FDI) in Latin America at the China - Latin America cross-council taskforce at the Summit on the Global Agenda, to be held under the auspices of the World Economic Forum (WEF), in Abu Dhabi on 18-20 November 2013. It was prepared jointly by Taotao Chen, Professor of Finance of the School of Economics and Management of Tsinghua University in China and member of the WEF Global Agenda Council on China, and by Miguel Pérez Ludeña, Economic Affairs Officer at the Economic Commission for Latin America and the Caribbean (ECLAC), under the supervision of Alicia Bárcena, Executive Secretary of ECLAC and Vice-Chair of the WEF Global Agenda Council on Latin America.

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Includes bibliography.

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This technical document has been prepared by the Economic Commission for Latin America and the Caribbean (ECLAC) as requested by the countries signatory to the Declaration on the application of Principle 10 of the Rio Declaration on Environment and Development in Latin America and the Caribbean in the Santiago Decision adopted at the fourth meeting of the focal points appointed by the Governments of the signatory countries of the Declaration held in Santiago, Chile, from 4 to 6 November 2014.

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XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. Yet, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficiently addressed while comparing XML documents. In this paper, we provide an integrated and fine-grained comparison framework to deal with both structural and semantic similarities in XML documents (detecting the occurrences and repetitions of structurally and semantically similar sub-trees), and to allow the end-user to adjust the comparison process according to her requirements. Our framework consists of four main modules for (i) discovering the structural commonalities between sub-trees, (ii) identifying sub-tree semantic resemblances, (iii) computing tree-based edit operations costs, and (iv) computing tree edit distance. Experimental results demonstrate higher comparison accuracy with respect to alternative methods, while timing experiments reflect the impact of semantic similarity on overall system performance.

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This thesis aims at investigating a new approach to document analysis based on the idea of structural patterns in XML vocabularies. My work is founded on the belief that authors do naturally converge to a reasonable use of markup languages and that extreme, yet valid instances are rare and limited. Actual documents, therefore, may be used to derive classes of elements (patterns) persisting across documents and distilling the conceptualization of the documents and their components, and may give ground for automatic tools and services that rely on no background information (such as schemas) at all. The central part of my work consists in introducing from the ground up a formal theory of eight structural patterns (with three sub-patterns) that are able to express the logical organization of any XML document, and verifying their identifiability in a number of different vocabularies. This model is characterized by and validated against three main dimensions: terseness (i.e. the ability to represent the structure of a document with a small number of objects and composition rules), coverage (i.e. the ability to capture any possible situation in any document) and expressiveness (i.e. the ability to make explicit the semantics of structures, relations and dependencies). An algorithm for the automatic recognition of structural patterns is then presented, together with an evaluation of the results of a test performed on a set of more than 1100 documents from eight very different vocabularies. This language-independent analysis confirms the ability of patterns to capture and summarize the guidelines used by the authors in their everyday practice. Finally, I present some systems that work directly on the pattern-based representation of documents. The ability of these tools to cover very different situations and contexts confirms the effectiveness of the model.