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