970 resultados para open source business


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Xerrada de cloenda de la Setmana internacional d'accés obert 2011 a la UOC, a càrrec de l'advocat Josep Jover. Per què les estratègies altruistes guanyen les egoistes en el programari lliure i en el #15m? El moviment #15m, igual que el programari, a diferència dels béns materials, no es pot posseir, ja que en pot gaudir (formant-ne part) un nombre indeterminat de persones sense que per això hagi de privar ningú de tenir-lo al seu torn. I això porta a girar com un mitjó la manera com manegen la informació les universitats, i quina és la missió de la universitat en la nova societat. En el futur immediat, valorarem les universitats no per la informació que guarden, que fora sempre serà millor i més extensa, sinó per la capacitat de crear masses crítiques, sia de recerca de coneixement, de capacitació humana, d'enllaç entre iguals... Les universitats hauran d'implantar el model o quedaran relegades.

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Closing talk of the Open Access Week 2011 at the UOC, by Josep Jover. Why do altruistic strategies beat selfish ones in the spheres of both free software and the #15m movement? The #15m movement, like software but unlike tangible goods, cannot be owned. It can be used (by joining it) by an indeterminate number of people without depriving anyone else of the chance to do the same. And that turns everything on its head: how universities manage information and what their mission is in this new society. In the immediate future, universities will be valued not for the information they harbour, which will always be richer and more extensive beyond their walls, but rather for their capacity to create critical masses, whether of knowledge research, skill-building, or networks of peers... universities must implement the new model or risk becoming obsolete.

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La Universitat Oberta de Catalunya (UOC) es una universidad en línea que realiza un uso intensivo de las tecnologías de la información y la comunicación para proporcionar una educación y aprendizaje a lo largo de la vida. Des de sus inicios la universidad ha desarrollado y testeado metodologías y tecnologías con el objetivo de proporcionar soluciones a los retos de aprendizaje y docentes ofrecidos por la comunidad de estudiantes, académicos y personal de gestión.Fundamentado en este saber hacer, nace la plataforma OpenApps con la finalidad principal de poner a disposición de la comunidad la experiencia acumulada en la UOC durante más de 15 años en docencia, aprendizaje y gestión para que pueda ser aplicado, adaptado o evolucionado por terceros. En este artículo se presentan las características esenciales para que una innovación pueda formar parte de esta plataforma institucional, las especificaciones y usuarios de la plataforma, la finalidad del servicio y las futuras líneas de trabajo.

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Peer-reviewed

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With nearly 2,000 free and open source software (FLOSS) licenses, software license proliferation¿ can be a major headache for software development organizations trying to speed development through software component reuse, as well as companies redistributing software packages as components of their products. Scope is one problem: from the Free Beer license to the GPL family of licenses to platform-specific licenses such as Apache and Eclipse, the number and variety of licenses make it difficult for companies to ¿do the right thing¿ with respect to the software components in their products and applications. In addition to the sheer number of licenses, each license carries within it the author¿s specific definition of how the software can be used and re-used. Permissive licenses like BSD and MIT make it easy; software can be redistributed and developers can modify code without the requirement of making changes publicly available. Reciprocal licenses, on the other hand, place varying restrictions on re-use and redistribution. Woe to the developer who snags a bit of code after a simple web search without understanding the ramifications of license restrictions.

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Open source is typically outside of normal commercial software procurement processes.The Challenges.Increasingly diverse and distributed set of development resources.Little/no visibility into the origins of the software.Supply Chain Comparison: Hardware vs Software.Open source has revolutionized the mobile and device landscape, other industries will follow.Supply chain management techniques from hardware are useful for managing software.SPDX A standard format for communicating a software Bill of Materials across the supply chain.Effective management and control requires training, tools, processes and standards.

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Today, most software development teams use free and open source software (FOSS) components, because it increases the speed and the quality of the development. Many open source components are the de facto standard of their category. However, FOSS has licensing restrictions, and corporate organizations usually maintain a list of allowed and forbidden licenses. But how do you enforce this policy? How can you make sure that ALL files in your source depot, either belong to you, or fit your licensing policy? A first, preventive approach is to train and increase the awareness of the development team to these licensing issues. Depending on the size of the team, it may be costly but necessary. However, this does not ensure that a single individual will not commit a forbidden icon or library, and jeopardize the legal status of the whole release... if not the company, since software is becoming more and more a critical asset. Another approach is to verify what is included in the source repository, and check whether it belongs to the open-source world. This can be done on-the-fly, whenever a new file is added into the source depot. It can also be part of the release process, as a verification step before publishing the release. In both cases, there are some tools and databases to automate the detection process. We will present the various options regarding FOSS detection, how this process can be integrated in the "software factory", and how the results can be displayed in a usable and efficient way.

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This documents sums up a projectaimed at building a new web interfaceto the Apertium machine translationplatform, including pre-editing andpost-editing environments. It containsa description of the accomplished workon this project, as well as an overviewof possible evolutions.

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This article describes the developmentof an Open Source shallow-transfer machine translation system from Czech to Polish in theApertium platform. It gives details ofthe methods and resources used in contructingthe system. Although the resulting system has quite a high error rate, it is still competitive with other systems.

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Extensible Dependency Grammar (XDG; Debusmann, 2007) is a flexible, modular dependency grammarframework in which sentence analyses consist of multigraphs and processing takes the form of constraint satisfaction. This paper shows how XDGlends itself to grammar-driven machine translation and introduces the machinery necessary for synchronous XDG. Since the approach relies on a shared semantics, it resembles interlingua MT.It differs in that there are no separateanalysis and generation phases. Rather, translation consists of the simultaneousanalysis and generation of a single source-target sentence.

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This paper proposes to enrich RBMTdictionaries with Named Entities(NEs) automatically acquired fromWikipedia. The method is appliedto the Apertium English-Spanishsystem and its performance comparedto that of Apertium with and withouthandtagged NEs. The system withautomatic NEs outperforms the onewithout NEs, while results vary whencompared to a system with handtaggedNEs (results are comparable forSpanish to English but slightly worstfor English to Spanish). Apart fromthat, adding automatic NEs contributesto decreasing the amount of unknownterms by more than 10%.

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There are a number of morphological analysers for Polish. Most of these, however, are non-free resources. What is more, different analysers employ different tagsets and tokenisation strategies. This situation calls for a simpleand universal framework to join different sources of morphological information, including the existing resources as well as user-provided dictionaries. We present such a configurable framework that allows to write simple configuration files that define tokenisation strategies and the behaviour of morphologicalanalysers, including simple tagset conversion.

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This paper discusses the qualitativecomparative evaluation performed on theresults of two machine translation systemswith different approaches to the processing ofmulti-word units. It proposes a solution forovercoming the difficulties multi-word unitspresent to machine translation by adopting amethodology that combines the lexicongrammar approach with OpenLogos ontologyand semantico-syntactic rules. The paper alsodiscusses the importance of a qualitativeevaluation metrics to correctly evaluate theperformance of machine translation engineswith regards to multi-word units.