Team: NTNU University Library
Team Leader: Rurik Greenall
Team Members: Stein Olle Johansen, Lene Bertheussen, Ove Wolden, Ellen Alm, Ingunn Østgaard, Eva Sauvage
Team working with linked data at NTNU University Library; creating data-driven frameworks for information delivery. Specific areas: acquisitions, cataloguing, content-to-Web. Use cases: archives, manuscripts, photography.
Team: WWI Linked Open Data (WWI LOD) Project
Team Leader: Juha Törnroos (Aalto University)
Team Members: Thea Lindquist (University of Colorado Boulder), Eetu Mäkelä (Aalto University), Eero Hyvönen (Aalto University), Rami Aamulehto (Aalto University), Holley Long (University of Colorado Boulder), Michael Ortiz (University of Colorado Boulder), Michael Dulock (University of Colorado Boulder), Martha Hanna (University of Colorado Boulder)
Computer scientists from Aalto University and librarians and historians from the University of Colorado Boulder are collaborating to enhance access to and context for the people, places, events and topics buried in World War I (WWI) primary sources using Linked Open Data.
Voting closed 9 May, 2013. 7 Liked
Title: Canvas – Exploring Pathways through Collections
Team: Tim Wray
Canvas is a re-imagining of the way we experience cultural heritage collections online : navigating pathways, encountering divergences, and finding connections. The project visualises linked data for the curious, wandering explorer.
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.
Voting closed 9 May, 2013. 164 Liked
Title: Linked Data Data Modeling: Converting VRA Core 4 into Linked Data
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
Country: United States
Team Leader: Jeff Mixter
The goal of the project was to convert the existing VRA 4 restricted XML schema in a Linked Data data model that incorporated popular vocabularies to the greatest extent. Once the model was completed, an XSLT stylesheet was used to demonstrate how existing XML data could be converted into RDF. For the study, the Notre Dame Lantern Slide collection (which consists of 4,150 records) was used to test the stylesheet. For more information regarding the study and to download the tools developed, please visit http://purl.org/jmixter/thesis
I know that many people are making travel arrangements at this point, please feel free to use the comments on this post if you’re looking for roommates or rideshares.
Voting closed 9 May, 2013. 219 Liked
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!
Team Leader: Simone Fonda
Team Members: Francesca Di Donato, Christian Morbidoni, Sam Leon, Joris Pekel
The team is composed by people from Net7 (a small italian company) and OKFN (Open Knowledge Foundation). Together, with other partners, we are now developing Pundit to be used inside the DM2E (Digital Manuscript to Europeana) project.