994 resultados para automated semantic integration


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The Gulf Cooperation Council (GCC) is a de facto regional power in the Arab world. Its role has been crucial in some of the outcomes of the Arab Spring. The GCC countries have been very pragmatic in dealing with the uprisings, avoiding any revolutionary spill-over throughout the Gulf region. This paper examines to what extent the policies of the European Union (EU) in the Gulf have changed since the beginning of the Arab Spring. It argues that despite the calls by the European Parliament and by the High Representative Baroness Ashton to improve the relationship, the EU’s support for a new policy in the Gulf after the Arab Spring is stalling, and little new or concrete has been achieved. The paper concludes that the Union needs a reinforced partnership that merges the various EU policies in the region into a single strategic partnership with the Arab countries.

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With temperatures in the Arctic rising at twice the pace of anywhere else in the world, the European Union (EU) decided in 2008 to begin formulating an overall Arctic policy tackling maritime, environmental, energy and transport challenges. This attempt to draft a comprehensive policy on a topic that the EU had rarely touched upon unavoidably ran up against other existing strategies from Arctic and non-Arctic states. Against this background, this paper examines whether the EU’s current Arctic policy is conducive to framing a strategy that is both correctly targeted and flexible enough to represent Europe’s interests. It shows that the EU’s approach can serve as an effective foreign policy tool to establish the Union’s legitimacy as an Arctic player. However, the EU’s Arctic policy is still underestimating its potential to find common grounds with the strategic partners Russia and China. A properly targeted Arctic policy could help influence Russia over the EU’s interests in the Northern Sea Route and strengthen cooperation with China in an endeavour to gain recognition as relevant Arctic players.

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This paper focuses on the role of the European Union (EU) in the formation of India’s climate change policy; an increasingly high profile issue area. It is based on an extensive study of relevant literature, EU-India policy documents and the execution of thirteen semi-structured interviews with experts; many of whom have experienced EU-India cooperation on climate change first-hand. A three-point typology will be used to assess the extent of the EU’s leadership role, supporting role or equal partnership role in India, with several sub-roles within these categories. Further, for clarity and chronology purposes, three time periods will be distinguished to assess how India’s climate policy has evolved over time, alongside the EU’s role within that. The findings of the paper confirm that the EU has demonstrated signs of all three roles to some degree, although the EU-India relationship in climate policy is increasingly an equal partnership. It offers explanations for previous shortcomings in EU-India climate policy as well as policy recommendations to help ensure more effective cooperation and implementation of policies.

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In the lead-up to the creation of a Eurasian Economic Union in 2015, the Customs Union and the Common Economic Space between Russia, Belarus and Kazakhstan represent two elements of the most ambitious regional integration project launched in the post-Soviet era since 1991. This CEPS Special Report examines both the potential and the limits of Eurasian economic integration. For the purpose of assessing the Eurasian integration process, CEPS applied a modified version of a framework first developed by Ernest B. Haas and Philippe C. Schmitter in 1964 to project whether economic integration of a group of countries automatically engenders political unity. Taking the data available for the early stages of the European integration process as a benchmark, the results for the Customs Union and the Common Economic Space point to a rather unfavourable outlook for Eurasian economic integration.

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The aim of this paper is essentially twofold: first, to describe the use of spherical nonparametric estimators for determining statistical diagnostic fields from ensembles of feature tracks on a global domain, and second, to report the application of these techniques to data derived from a modern general circulation model. New spherical kernel functions are introduced that are more efficiently computed than the traditional exponential kernels. The data-driven techniques of cross-validation to determine the amount elf smoothing objectively, and adaptive smoothing to vary the smoothing locally, are also considered. Also introduced are techniques for combining seasonal statistical distributions to produce longer-term statistical distributions. Although all calculations are performed globally, only the results for the Northern Hemisphere winter (December, January, February) and Southern Hemisphere winter (June, July, August) cyclonic activity are presented, discussed, and compared with previous studies. Overall, results for the two hemispheric winters are in good agreement with previous studies, both for model-based studies and observational studies.

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Competency management is a very important part of a well-functioning organisation. Unfortunately competency descriptions are not uniformly specified nor defined across borders: National, sectorial or organisational, leading to an opaque competency description market with a multitude of competency frameworks and competency benchmarks. An ontology is a formalised description of a domain, which enables automated reasoning engines to be built which by utilising the interrelations between entities can make “intelligent” choices in different situations within the domain. Introducing formalised competency ontologies automated tools, such as skill gap analysis, training suggestion generation, job search and recruitment, can be developed, which compare and contrast different competency descriptions on the semantic level. The major problem with defining a common formalised ontology for competencies is that there are so many viewpoints of competencies and competency frameworks. Work within the TRACE project has focused on finding common trends within different competency frameworks in order to allow an intermediate competency description to be made, which other frameworks can reference. This research has shown that competencies can be divided up into “knowledge”, “skills” and what we call “others”. An ontology has been created based on this with a simple structure of different “kinds” of “knowledges” and “skills” using semantic interrelations to define the basic semantic structure of the ontology. A prototype tool for analysing a skill gap analysis has been developed. Personal profiles can be produced using the tool and a skill gap analysis is performed on a desired competency profile by using an ontologically based inference engine, which is able to list closest fit and possible proficiency gaps