863 resultados para Knowledge management capabilities


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El presente artículo tiene como propósito proponer la incorporación de la teoría administrativa denominada Gestión del Conocimiento (GC), en Bibliotecas Universitarias (BU). ¿El qué, el cómo y el para qué? Representa un reto de gestión que conlleva a la implementación de diversas estrategias para el cambio y la innovación (ECI). Hipotéticamente, el diseño de estrategias de gestión posibilita que la BU en los escenarios competitivos de la sociedad de conocimiento y el tercer entorno desarrolle nuevas competencias y directrices para el aprovechamiento de sus diversos recursos con eficiencia y logren alcanzar sus objetivos con eficacia. La innovación es otra de las variables que posibilita la transformación de los servicios que son ofertados a los usuarios, también denominados "socios estratégicos", bajo la visión de creatividad, sustentabilidad y bienestar

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El artículo presenta una reflexión sobre el significado del trabajo en red para las comunidades académicas. La actuación en red se presenta como una alternativa para el fortalecimiento de los campos de conocimiento ante la emergencia de la cultura digital y los embates de otros modos de producción de saberes que compiten con los propósitos de los colectivos universitarios. El trabajo en red al desarrollarse en entornos digitales cuenta con sistemas de soporte como nunca los hubo antes, pero los desafíos son muchos, tanto para quienes deban aprender a habitar estos entornos y utilizar sus herramientas, como para quienes deban desarrollar tecnologías que faciliten la comunicación con la disposición de herramientas dialógicas en el núcleo de los ecosistemas de conocimiento. Se ofrece una compilación de estrategias dialógicas y herramientas útiles para el trabajo colaborativo en grupos académicos, así como una aproximación al concepto de competencia cibercultural, como una capacidad que atraviesa la gestión de la información y del conocimiento desde una perspectiva comunicativa.

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El presente artículo tiene como propósito proponer la incorporación de la teoría administrativa denominada Gestión del Conocimiento (GC), en Bibliotecas Universitarias (BU). ¿El qué, el cómo y el para qué? Representa un reto de gestión que conlleva a la implementación de diversas estrategias para el cambio y la innovación (ECI). Hipotéticamente, el diseño de estrategias de gestión posibilita que la BU en los escenarios competitivos de la sociedad de conocimiento y el tercer entorno desarrolle nuevas competencias y directrices para el aprovechamiento de sus diversos recursos con eficiencia y logren alcanzar sus objetivos con eficacia. La innovación es otra de las variables que posibilita la transformación de los servicios que son ofertados a los usuarios, también denominados "socios estratégicos", bajo la visión de creatividad, sustentabilidad y bienestar

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El artículo presenta una reflexión sobre el significado del trabajo en red para las comunidades académicas. La actuación en red se presenta como una alternativa para el fortalecimiento de los campos de conocimiento ante la emergencia de la cultura digital y los embates de otros modos de producción de saberes que compiten con los propósitos de los colectivos universitarios. El trabajo en red al desarrollarse en entornos digitales cuenta con sistemas de soporte como nunca los hubo antes, pero los desafíos son muchos, tanto para quienes deban aprender a habitar estos entornos y utilizar sus herramientas, como para quienes deban desarrollar tecnologías que faciliten la comunicación con la disposición de herramientas dialógicas en el núcleo de los ecosistemas de conocimiento. Se ofrece una compilación de estrategias dialógicas y herramientas útiles para el trabajo colaborativo en grupos académicos, así como una aproximación al concepto de competencia cibercultural, como una capacidad que atraviesa la gestión de la información y del conocimiento desde una perspectiva comunicativa.

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In the beginning of the 90s, ontology development was similar to an art: ontology developers did not have clear guidelines on how to build ontologies but only some design criteria to be followed. Work on principles, methods and methodologies, together with supporting technologies and languages, made ontology development become an engineering discipline, the so-called Ontology Engineering. Ontology Engineering refers to the set of activities that concern the ontology development process and the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. Thanks to the work done in the Ontology Engineering field, the development of ontologies within and between teams has increased and improved, as well as the possibility of reusing ontologies in other developments and in final applications. Currently, ontologies are widely used in (a) Knowledge Engineering, Artificial Intelligence and Computer Science, (b) applications related to knowledge management, natural language processing, e-commerce, intelligent information integration, information retrieval, database design and integration, bio-informatics, education, and (c) the Semantic Web, the Semantic Grid, and the Linked Data initiative. In this paper, we provide an overview of Ontology Engineering, mentioning the most outstanding and used methodologies, languages, and tools for building ontologies. In addition, we include some words on how all these elements can be used in the Linked Data initiative.

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Acquired Brain Injury (ABI), either caused by vascular or traumatic nature, is one of the most important causes for neurological disabilities. People who suffer ABI see how their quality of life decreases, due to the affection of one or some of the cognitive functions (memory, attention, language or executive functions). The traditional cognitive rehabilitation protocols are too expensive, so every help carried out in this area is justified. PREVIRNEC is a new platform for cognitive tele-rehabilitation that allows the neuropsychologist to schedule rehabilitation sessions consisted of specifically designed tasks, plus offering an additional way of communication between neuropsychologists and patients. Besides, the platform offers a knowledge management module that allows the optimization of the cognitive rehabilitation to this kind of patients.

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Ontology quality can be affected by the difficulties involved in on-tology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontol-ogy engineering scenarios such as development and selection. This paper con-tributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for de-tecting anomalies in ontologies. This tool will help developers to improve on-tology quality by automatically detecting potential errors.

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Software testing is a key aspect of software reliability and quality assurance in a context where software development constantly has to overcome mammoth challenges in a continuously changing environment. One of the characteristics of software testing is that it has a large intellectual capital component and can thus benefit from the use of the experience gained from past projects. Software testing can, then, potentially benefit from solutions provided by the knowledge management discipline. There are in fact a number of proposals concerning effective knowledge management related to several software engineering processes. Objective: We defend the use of a lesson learned system for software testing. The reason is that such a system is an effective knowledge management resource enabling testers and managers to take advantage of the experience locked away in the brains of the testers. To do this, the experience has to be gathered, disseminated and reused. Method: After analyzing the proposals for managing software testing experience, significant weaknesses have been detected in the current systems of this type. The architectural model proposed here for lesson learned systems is designed to try to avoid these weaknesses. This model (i) defines the structure of the software testing lessons learned; (ii) sets up procedures for lesson learned management; and (iii) supports the design of software tools to manage the lessons learned. Results: A different approach, based on the management of the lessons learned that software testing engineers gather from everyday experience, with two basic goals: usefulness and applicability. Conclusion: The architectural model proposed here lays the groundwork to overcome the obstacles to sharing and reusing experience gained in the software testing and test management. As such, it provides guidance for developing software testing lesson learned systems.

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At the present time almost all map libraries on the Internet are image collections generated by the digitization of early maps. This type of graphics files provides researchers with the possibility of accessing and visualizing historical cartographic information keeping in mind that this information has a degree of quality that depends upon elements such as the accuracy of the digitization process and proprietary constraints (e.g. visualization, resolution downloading options, copyright, use constraints). In most cases, access to these map libraries is useful only as a first approach and it is not possible to use those maps for scientific work due to the sparse tools available to measure, match, analyze and/or combine those resources with different kinds of cartography. This paper presents a method to enrich virtual map rooms and provide historians and other professional with a tool that let them to make the most of libraries in the digital era.

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Today?s knowledge management (KM) systems seldom account for language management and, especially, multilingual information processing. Document management is one of the strongest components of KM systems. If these systems do not include a multilingual knowledge management policy, intranet searches, excessive document space occupancy and redundant information slow down what are the most effective processes in a single language environment. In this paper, we model information flow from the sources of knowledge to the persons/systems searching for specific information. Within this framework, we focus on the importance of multilingual information processing, which is a hugely complex component of modern organizations.

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Background: Cognitive skills training for minimally invasive surgery has traditionally relied upon diverse tools, such as seminars or lectures. Web technologies for e-learning have been adopted to provide ubiquitous training and serve as structured repositories for the vast amount of laparoscopic video sources available. However, these technologies fail to offer such features as formative and summative evaluation, guided learning, or collaborative interaction between users. Methodology: The "TELMA" environment is presented as a new technology-enhanced learning platform that increases the user's experience using a four-pillared architecture: (1) an authoring tool for the creation of didactic contents; (2) a learning content and knowledge management system that incorporates a modular and scalable system to capture, catalogue, search, and retrieve multimedia content; (3) an evaluation module that provides learning feedback to users; and (4) a professional network for collaborative learning between users. Face validation of the environment and the authoring tool are presented. Results: Face validation of TELMA reveals the positive perception of surgeons regarding the implementation of TELMA and their willingness to use it as a cognitive skills training tool. Preliminary validation data also reflect the importance of providing an easy-to-use, functional authoring tool to create didactic content. Conclusion: The TELMA environment is currently installed and used at the Jesús Usón Minimally Invasive Surgery Centre and several other Spanish hospitals. Face validation results ascertain the acceptance and usefulness of this new minimally invasive surgery training environment.

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En este artículo se ofrece una visión rápida de las necesidades del uso de buscadores para la gestión del conocimiento y de las ideas básicas de su funcionamiento. A continuación se presenta el método CSORA (Classify, Search, Organize, Relate, Adapt), conjunto de procedimientos técnicos y metodológicos que mejoran la eficacia de los buscadores haciendo posible encontrar información relevante en entornos con mucha información o información especializada. Finalmente se muestra su integración en los motores de búsqueda y en las conclusiones se incluyen las ventajas de su uso, verificadas a través de experiencias realizadas y las líneas de investigación futuras. ABSTRACT: In this paper we offer a fast overview of the usage needs of search engines for knowledge management, as well as the basic ideas about how they work. We then present the CSORA method (Classify, Search, Organize, Relate and Adapt), a set of technical and methodological procedures that improve the efficacy of search engines, making it possible to find relevant information in environments with lots of information or specialized information. Last, we show the integration of the method into the search engines. The conclusions include a description of the advantages of using this method, verified by experiments carried out, and the lines of future work.

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In this poster paper we present an overview of knOWLearn, a novel approach for building domain ontologies in a semi-automatic fashion.

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Verifying whether an ontology meets the set of established requirements is a crucial activity in ontology engineering. In this sense, methods and tools are needed (a) to transform (semi-)automatically functional ontology requirements into SPARQL queries, which can serve as unit tests to verify the ontology, and (b) to check whether the ontology fulfils the requirements. Thus, our purpose in this poster paper is to apply the SWIP approach to verify whether an ontology satisfies the set of established requirements.

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Enhanced learning environments are arising with great success within the field of cognitive skills training in minimally invasive surgery (MIS) because they provides multiple benefits since they avoid time, spatial and cost constraints. TELMA [1,2] is a new technology enhanced learning platform that promotes collaborative and ubiquitous training of surgeons. This platform is based on four main modules: an authoring tool, a learning content and knowledge management system, an evaluation module and a professional network. TELMA has been designed and developed focused on the user; therefore it is necessary to carry out a user validation as final stage of the development. For this purpose, e-MIS validity [3] has been defined. This validation includes usability, contents and functionality validities both for the development and production stages of any e-Learning web platform. Using e-MIS validity, the e-Learning is fully validated since it includes subjective and objective metrics. The purpose of this study is to specify and apply a set of objective and subjective metrics using e-MIS validity to test usability, contents and functionality of TELMA environment within the development stage.