Public voting for Heat 1 Challenge entries closed on December 15. Public voting and comments account for about 30% of the decision-making process for selecting finalists.

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  1. Simone Fonda

    Challenge Entry: Pundit

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    Voting closed 9 May, 2013. 219 Liked

    Title: Pundit

    Team: Pundit

    Short description
    Pundit is a client-server annotation system which lets you express semantics about any kind of web content through labeled relations among annotated items, linking them to the Web of Data. Annotations can be shared and organized into private or public notebooks which can openly accessed to build engaging visualizations. And it is open source!! Check out www.thepund.it!

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  2. timwray

    Challenge Entry : Canvas – Spatial Interaction of our Collections with Linked Open Data

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    1

    Voting closed 15 Dec. 2012. 17 Liked

    Title: Canvas – Spatial Interaction of our Collections with Linked Open Data

    Team: Canvas

    Short Description

    Using the spatial concepts of landscapes and pathways, I’m experimenting with new ways of visualizing museum collections that entice the curious explorer. My work identifies themes and narratives within collections and showcases the connections that objects have with one another. I’m planning on using Linked Open Data to enrich the collection data-sets : giving greater context to the objects and enriching the connections between them.

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  3. Jeff Mixter

    Challenge Entry: Datamodelers

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    1

    Voting closed 9 May, 2013. 164 Liked

    Title: Linked Data Data Modeling: Converting VRA Core 4 into Linked Data

    Team: Datamodelers

    Short Description: This project attempted to bridge the gap between the founding principles of Linked Data and published RDF datasets.  In doing so, it is hoped that Linked data can be more effectively used and implemented by Galleries, Libraries, Archives and Museums.  The focus of this study was developing a Linked Data data model that incorporates popular domain specific vocabularies (primarily Schema.org and FOAF).  The VRA 4 restricted XML schema was converted into a new Linked Data data model using Protégé, then an XSLT stylesheet was used to convert an existing VRA 4 dataset into RDF.  The detailed description of the study as well as the tools developed (including the Ontology and the XSLT stylesheet) can be downloaded from http://purl.org/jmixter/thesis

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  4. Jon Voss

    Challenge Entry: ReLOAD – Repository for Linked Open Archival Data

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    5

    Voting closed 15 Dec. 2012. 227 Liked

    Title: ReLOAD – Repository for Linked Open Archival Data

    Team: Reload

    Short Description:
    ReLOAD (Repository for Linked Open Archival Data) project aims to experiment Semantic Web’s standards and LOD technologies in archival domain in order to share archival resources in the web of data.
    ReLOAD is sponsored by Archivio Centrale dello Stato, Istituto Beni Culturali Regione Emilia Romagna, and Regesta.exe

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  5. Rurik Thomas Greenall

    Challenge entry: NTNU University Library — linked data 2013

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    2

    Voting closed 9 May, 2013. 9 Liked

    Title: NTNU University Library — linked data 2013

    Team: NTNU University Library

    Short description: We have moved a little way beyond data conversion since starting with linked data in 2009 and are moving on with our fully fledged metadata-driven workflow for archives, special collections and photography. We’re creating a lightweight Web infrastructure that provides a modular approach to doing what libraries need to do; we bring the simple linked data framework, which makes space for real innovation in the data creation and visualization process. Providing simple industry standard tools that IT admins won’t balk at having to maintain, we believe that this is state-of-the-art technology: simple and functional, yet providing easy access to a real-world linked data toolkit.

  6. Ricardo Alonso Maturana

    Challenge Entry: Mismuseos.net, Art After Technology

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    2

    Voting closed 9 May, 2013. 229 Liked

    Title: Mismuseos.net: Art After Technology (putting cultural data to work).

    Team: MisMuseos

     

    Short description:

    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).
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  7. Jon Voss

    Meet the Teams: MisMuseos

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    1

    Team: MisMuseos

    Country: Spain

    Team Leader: Ricardo Alonso Maturana

    Team members: María Elena Alvarado, María Ortega, Susana López-Sola, Rubén Vinagre, María José Ibáñez, Lorena Ruiz Elósegui, Javier Altuzarra, Juan Valer, Kamal Majaiti.

    The team brings together expertise in the development of semantic web, data structuring, exploitation of linked data, faceted search engines and algorithms based on semantic technologies.
    The team is formed by people from GNOSS company, a small Spanish company which has developed the first social and semantic platform of linked social networks that runs on semantic standards (Linked Data Web). The platform enables automatic data connection, the development of faceted searches based on reasoning and the generation of contexts and advanced recommendation systems (http://www.gnoss.com). GNOSS is the first Spanish company that published its datasets in the Linked Open Data Cloud and CKAN and appears in the LOD cloud since September 2011. GNOSS provides vertical solutions in Culture and Education through cultural and educational graphs of linked communities for connecting content as well as interests.

    MAIN GOAL AND DATASETS OF MISMUSEOS.NET
    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. 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 uses several datasets: Europeana, Dbpedia, Geonames and Didactalia

  8. Jon Voss

    Challenge Entry: OpenAGRIS

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    Comment

    Voting closed 15 Dec. 2012. 109 Liked

    Title: OpenAGRIS

    Team: FAO-OEKC

    Short Description

    AGRIS is a collection of more than 4 million of bibliographic records and it is one of the most important world-wide information systems in the agricultural domain. OpenAGRIS is a Web application entirely based on RDF that aggregates information from different sources to expand the AGRIS knowledge.

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