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. Jeff Mixter

    Challenge Entry: Datamodelers

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    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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  2. Jon Voss

    Challenge Entry: LODLAM Patterns

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    Voting closed 9 May, 2013. 10 Liked

    Title: LODLAM Patterns

    Team: LODLAM Patterns

    The LODLAM Patterns website will provide a venue for identifying, publishing, and refining what I call “representation patterns” for cultural heritage resources. Initial patterns will emerge from an analysis of contemporary cultural heritage metadata standards, but these will only serve to prime the pump. At the LODLAM Summit I will invite interested members of the community to join me in identifying useful patterns and improving published patterns through comments and discussion.

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  3. Jon Voss

    Challenge Entry: Metayogi

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    Voting closed 15 Dec. 2012. 15 Liked

    Title: Metayogi

    Team: Metayogi

    Short Description

    The Metayogi framework, developed by the University of Saskatchewan Library, is a design tool that allows teams to collaboratively build applications that model, collect, showcase and share metadata from multiple sources to support thematic research, learning and discovery.

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  4. Jon Voss

    Meet the Teams: MisMuseos

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    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

  5. Jon Voss

    Challenge Entry: Public Record Office Victoria (PROV) Semantic Wiki

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    Voting closed 15 Dec. 2012. 22 Liked

    Title: Public Record Office Victoria (PROV) Semantic Wiki

    Team: ASA4LODLAM

    See the Screencast here.

    Short Description

    Public Record Office Victoria (PROV) goal: to increase awareness of, access to and usage of the State Archives of Victoria by employing digital tools such as a semantic wiki which will add archival records to the evolving Web of Data as structured data.

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Photo Credits

Montreal skyline photo CC BY from Flickr Manu_H
BAnQ elevator/stairs CC BY-NC-SA from Flickr 917Press