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    Publicado el 21.6.2013 por Equipo GNOSS

    William Noel, promotor de Open Data, distinguido por la Casa Blanca. Open Science Champions of Change

    William Noel, promotor de la generación de datos abiertos de museos y repositorios de libros raros, ha sido distinguido por la Casa Blanca como una de las personas relevantes de Open Science Champions of Change.

    Wiliam Noel, an advocate for generation of open data by museums and rare book repositories, directed a twelve-year project that successfully retrieved the erased texts of a thirteenth century prayer book. These erased texts included treatises by Archimedes, speeches by Hyperides, and a lost commentary on Aristotle's Categories. He also pioneered the presentation of machine-readable, openly licensed datasets of digitized illuminated medieval manuscripts on the web.




    Compartido el 21.6.2013 por Pablo Hermoso de Mendoza González

    Hemos conocido a Pedro Szekeky en el LODLAM Summit 2013 y hemos asistido al taller sobre la herramienta que están desarrollando en la Southerm California University denominada Karma. Pedro Szekely  ha publicado numerosos artículos sobre web semántica.  En esta presentación es posible ver la aplicación de Karma al trabajo realizado en el museo Smithsonian.

     "Connecting the Smithsonian American Art Museum to the Linked Data Cloud." paper presented at the 10th Extended Semantic Web Conference (ESWC), in Montpellier, May 2013. http://eswc-conferences.org/sites/default/files/papers2013/szekely.pdf




    Compartido el 4.6.2013 por Pablo Hermoso de Mendoza González

    Este video de algo más de 5 minutos expresa las principales ideas del proyecto web www.mismuseos.net, un proyecto desarrollado por RIAM I+L LAB, pyme tecnológica española que trabaja en el campo de la web semántica.

    The main goal of Mismuseos.net is to present a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. We currently have collections of seven Spanish museums, where users can browse over 15,000 pieces of art and 2,650 artists. The featured applications are: faceted searches, enriched contexts and navigation through graphs. The search engine enables aggregated searches by different facets and summarization of results for each successive search.

    Mismuseos.net obtains the information about cultural goods from the Europeana dataset and the online collections of public Spanish Museums. It also extracts and links data from additional datasets of the Linking Open Data cloud, either to supplement information or to generate enriched contexts: Dbpedia, Geonames and Didactalia (a GNOSS project with an index of more than 50,000 open educational resources).

    Long description:


    Mismuseos.net shows a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. In more detail, the project is guided by the following goals:

    • Put data to work: exploit public datasets and information on museums to generate benefits for users and improve the user’s experience thanks to the potential of the semantic web.
    • Link datasets both to enrich content and generate accurate contexts of information building a cultural and educational graph.
    • Connect cultural and educational worlds in a knowledge ecosystem.


    Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. Mismuseos.net structures, organizes and makes available to you, in accordance with the principles promoted by the Linked Data Project, an extensive catalog of artworks that museums publish on the Web. Moreover, it links the catalog with other existing LOD educational knowledge bases allowing the generation of educational contexts related to cultural goods.

    We currently have a collection of seven Spanish museums (a meta-museum), where users can browse over 15,000 pieces of art and 2,650 artists. These are the museums included until now: Museo Bellas Artes de Bilbao, Museo Reina Sofía, Museo del Prado, Museo Sorolla, Museo de la Fundación Lázaro Galdiano, Museo del Greco and Museo de la Biblioteca Nacional (Museum of the National Spanish Library).

    Datasets used: Europeana (CER.ES collection), Dbpedia, Geonames and Didactalia (GNOSS)

    Mismuseos.net uses several datasets and sources of information:

    • Europeana dataset, specifically the data from the CER.ES collection (CER.ES is the Digital Network of Collections of Spanish Museums), and the online collections of public Spanish Museums. These two datasets were used in order to obtain the information about cultural goods (pieces of arts and museum information basically).
    • DBPedia, used to supplement the information about the author with and extract information on authors and museums location.
    • Geonames, in order to obtain the geolocation data of artists and museums, once we have obtained the names of the places from the primary source or from Dbpedia. This information will be exploited in the future to locate them in a map view.
    • Didactalia, an index of over 50,000 educational resources on gnoss.com, linked to provide users with related educational content.

    To sum up the process, the primary information has been enriched, cleaned and normalized when necessary, and uploaded to the project online space inside the gnoss.com platform, so that we can consume and exploit the data and present the end-user applications. We have prepared a general navigation through tabs that includes a homepage with content selection, a tab for the collection (pieces of art) and another one for artists. In the near future, we will also include a tab for museums. The previous entities (pieces of art, artists and museums) are represented on the platform with their specific ontologies thanks to the semantic CMS of GNOSS using standard vocabularies if available.

    Technology and main features:

    The solution has been developed on gnoss.com, a social and semantic platform with a deep focus on the generation of social knowledge ecosystems and end-user applications in a Linked Data environment. It includes faceted searches, recommendation systems and adapted contexts in education, university and enterprises. GNOSS could be conceived as a network of networks or a linked networks space oriented to using semantic technologies for data and service integration. Moreover, it has a wide range of configurable social tools, which have been mostly deactivated in the case of Mismuseos.net.

    • Semantic Content Management System (SemCMS): semantic forms engine

    GNOSS expresses user-generated content as structured data with default basic semantic standard vocabularies. This is done automatically when a user shares content on the platform. Besides, GNOSS has an engine for developing specific ontologies to represent knowledge objects, and, as a consequence, specific search engines if necessary. The semCMS allows uploading an OWL file describing the concepts and relations within a particular knowledge domain, and it generates a semantic form with all the classes and properties represented in the OWL file. This is the case of MisMuseos.net, which has ontologies with particular vocabularies for artworks, artists and museums. So, all the information is available in RDF files.

    • Faceted searches

    Mismuseos.net has a powerful faceted search engine that is generated by its semantic graphs (RDF triplets); the search engine exploits that graphs through reasoned or inference-based searches. It provides specific configurable facets for each item type. For instance, in the case of pieces of art, users can search by facets such as collection type (sculpture, drawing, painting, etc.), museum, key words, author, time period, art techniques, etc.

    By selecting a search option, it allows you to filter the results in consecutive searchers, and therefore restrict the results to a manageable number of entries. It offers summarization of the results, so that users can better understand how the results relate to all search facets. The values are recalculated for every set of results in aggregated searches. Also, one can only filter by those options where there results, avoiding incoherent search options.

    • Contexts or related information: enriched content in Mismuseos.net

    In Mismuseos.net, we have set several contexts depending on the object or entity that the user is viewing, which offer dynamically generated content:

    1. Contexts for the entity ‘piece of art’: related works by the same artist and artworks within the same particular time period (internal), artist information (internal); related educational resources of Didactalia (external, on gnoss.com).

    2. Contexts for the entity ‘artist’: artworks of the artist (internal), contemporary artists (internal), related paper toys and educational resources of Didactalia (external).


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    Publicado el 21.5.2013 por Equipo GNOSS

    The Science Museum in London, along with commercial agency Cogapp, have recently embarked on a project to convert their information to linked data format. So far the focus has been on consolidating disparate data by converting them to linked data which at the moment is still private not public. However, the museum is keen to investigate the possibility of releasing the data and is seeking advice on this.




    Publicado el 26.2.2013 por Pablo Hermoso de Mendoza González

    John Voss cuenta el caso del trabajo realizado para, a través de linked open data, poder relacionar todos aquellos datos referidos a la Guerra Civil americana disponible en los datasets de las librerias, museos y archivos americanos y de esta manera descubrir nuevo conocimiento, nuevas perspectivas de este periodo histórico. Contenidos que se contextualizan para poder aprender más y más rápido y descubrir nuevos caminos.

    Jon Voss provides a status on Linked Open Data for Libraries, Archives, and Museums (LODLAM) State of Affairs and the annual summit to advance this work



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    Publicado el 29.11.2012 por Equipo GNOSS

    Curate: an ontology for describing museum narratives

    Curate is an ontology for describing aspects of curatorial narratives and their underlying conceptual structure. The ontology draws on structuralist theories that distinguish between story (i.e. what can be told), plot (i.e. an interpretation of the story) and narrative (i.e. its presentational form).


    The curate ontology has been developed as part of the DECIPHER project, funded by the EU 7th Framework Programme in the area of Digital Libraries and Digital Preservation.

    The curate ontology is being used in conjunction with storyspace to model museum narratives.



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    Publicado el 25.7.2012 por Equipo GNOSS

    Museo Smithsonian. Web and New Media Strategy Process

    Fundado en 1846, el Smithsonian es el mayor museo y complejo de investigación del mundo, con 19 museos y galerías, el Parque Zoológico Nacional y nuevo instalaciones de investigación.

    El enlace lleva a la wiki pública que describe el proceso estratégico de web y nuevos medios del Smithsonian.

    Founded in 1846, the Smithsonian is the world's largest museum and research complex, consisting of 19 museums and galleries, the National Zoological Park and nine research facilities.

    This is the public wiki for the Smithsonian's Web and New Media strategy process:

    A few key guidelines

    From senior management, a few key guidelines for the process

    1. A clear focus on education
    2. Web strategy process has to be sensitive to the challenges of doing more with less.
    3. We need to show what’s over the horizon AND how to get there: demonstrate evidence of progress and show how to light the fuse of SI 2.0
    4. The Web, moving forward, needs to evolve new and efficient revenue streams (and cost-mitigation scenarios)
    5. Use the workshops as an opportunity to REALLY listen

    Goals: Aspirational and Achievable Smithsonian

    Aspirational Smithsonian: Define the optimum role for SI in next 100 years

    • Embrace new models of knowledge creation and dissemination
    • Provide better access to knowledge for geographically and demographically diverse audiences
    • Provide richer, more engaging means (storytelling) for different types of audiences to engage with our knowledge assets
    • Create opportunities for inter-disciplinary collaboration and learning
    • Identify new revenue sources to support the ever-growing programs

    Achievable Smithsonian: Define and prioritize tactical opportunities for rapid, high impact implementation

    • Leverage from among many initiatives currently incubating within SI
    • Identify initiatives that test / prove a new concept, to advance an idea, to attract funding, or to promote a culture of rapid innovation
    • Define the core competencies and optimum shared services model we need to be successful in the future.