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Next Web: web 3.0, web semántica y el futuro de internet > sharing

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    Publicado el 16.7.2013 por Pablo Hermoso de Mendoza González

    Karma: A Data Integration Tool

    Karma is an information integration tool that enables users to quickly and easily integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modeling it according to an ontology of their choice using a graphical user interface that automates much of the process. Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. Users then interact with the system to adjust the automatically generated model. During this process, users can transform the data as needed to normalize data expressed in different formats and to restructure it. Once the model is complete, users can published the integrated data as RDF or store it in a database.

    A cool video that illustrates why Karma is significant: Data Sharing and Management Snafu in 3 Short Acts

     

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    Publicado el 18.3.2013 por Pablo Hermoso de Mendoza González

    Sharing cultural heritage the linked open data way: why you should sign up

    Cultural heritage institutions are beginning to explore the added value of sharing data. We report on Dutch initiatives that have started opening up their data through far-reaching open licenses as well as initiatives that are using the Linked Open Data cloud to integrate and enriching heritage collection metadata.

    As galleries, libraries, archives and museums (GLAMS) are redefining their role as nodes in a wider network of content creators and providers, open innovation becomes key. GLAMS across the world are beginning to explore the added value of sharing data resources following the so-called Linked Open Data (LOD) principles. In this paper, we provide an overview of the practical uses and implications of using Linked Open Data through four projects currently running in the heritage domain. We have chosen these four projects among many because they show the usage of Linked Open Data from different perspectives. In this article, we first introduce the most important aspects of open data and linked data, for those not familiar with it yet (Sections 2 and 3). We shall then present four projects that are active in contributing or using linked data in Section 4, followed by a discussion of risks and advantages and concluding remarks in Section 5.

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