Logo OR2015
 

Conference Agenda

Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Return to conference web site

 
Session Overview
Session
P1A: Linked Open Data (LOD)
Time:
Tuesday, 09/Jun/2015:
11:00am - 12:30pm

Session Chair: Simeon Warner
Location: Regency A-D
350 seats

Presentations

Fedora4: The Open Linked Data Platform

Andrew Woods1, Rob Sanderson2

1Duraspace, United States of America; 2Stanford University

Linked Open Data has moved from being a buzzword to a fundamental building block of modern repositories and information systems. Its explosion, taking in this domain the form of scholarly and scientific datasets, publications, annotations, cultural heritage descriptions and other repository-based content, offers unprecedented opportunity for scientific and societal advancement. It is the interconnections that integrate systems and resources, however, that turn disparate ideas into unanticipated solutions.

The Open Repositories community largely understands the value of linked data. The trouble has been in answering the question of “how?” to do this together, rather than "why?" do it at all. In order to be effective, we need to have solid guidelines, common practices, and well specified toolsets and products. A confluence of developments has opened the door to exactly this.

In October of 2012, the initial W3C working draft of the Linked Data Platform 1.0 (LDP) document was published[2]. In July of 2012, the demand for a next-generation Fedora platform was channeled into the Fedora 4 (F4) project, which at the time was termed Fedora Futures. The alignment of these two stars set in motion events that provided both requirements and solutions for the community.

Woods-Fedora4-39.pdf

Ozmeka: extending the Omeka repository to make linked-data research data collections for all research disciplines

Peter Sefton1, Sharyn Wise1, Peter Bugeia2

1University of Technology Sydney, Australia; 2Intersect limited, Australia

The Ozmeka project is an Australian open source project to extend the Omeka repository system. Our aim is to support Open Scholarship, Open Science, and Cultural Heritage via repository software than can manage a wide range of Research (and Open) Data, both Open and access-restricted, providing rich repository services for the gathering, curation and publishing of diverse data sets. The Ozmeka project places a great deal of importance in *integrating with external systems*, to ensure that research data is linked to its context, and high quality identifiers are used for as much metadata as possible. This will include links to the ‘traditional’ staples of the Open Repositories conference series, publications repositories, and to the growing number of institutional and discipline research data repositories. In this presentation we will take a critical look at how the Omeka system, extended with Ozmeka plugins and themes can be used to manage three diverse projects and talk about how this work paves the way for eResearch and repository support teams to supply similar services to researchers in a wide variety of fields. This work intended to reduce the cost of and complexity of creating new research data repository systems.

Sefton-Ozmeka-214_b.pptx

Why FRBRoo and CIDOC CRM are great for expressing (Linked, Open) Ethnographic Research Data

Rosemary Le Faive

University of Prince Edward Island, Canada

Can we use a Linked Open Data framework in place of classic static metadata in a Fedora Repository? We describe how we catalogued a collection of interrelated ethnographic research data using the FRBRoo and CRM ontologies. These vocabularies allowed us to express detailed relationships between digital objects and entities (people, places, events, concepts) in a more nuanced way than traditional bibliographic metadata schemas such as MODS and MADS. Our implementation uses a network of entities in a Fedora repository, with the CRM and FRBRoo properties in the Mulgara triplestore, to catalogue data from an ethnographic project in a way that will drive the Islandora display, while allowing the network to be queried by researchers.

We describe the process of transforming our data set, consisting of audio and video recordings; photographs; biographical information; music notation files; and textual content, for inclusion into this RDF-centric repository, and the challenges encountered in modelling born-digital content in vocabularies designed to contain surrogates for physical objects.

Le Faive-Why FRBRoo and CIDOC CRM are great for expressing-221_a.pdf