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Linked Data for Libraries and Archives: LD4L and Europeana

Home / Project Briefing Pages / CNI Fall 2015 Project Briefings / Linked Data for Libraries and Archives: LD4L and Europeana

November 19, 2015

Dean B. Krafft
Chief Technology Strategist, Library
Cornell University

Tom Cramer
Chief Technology Strategist, Libraries
Stanford University

Charles Blair
Director, Digital Library Development Center, University of Chicago Library
The University of Chicago

Linked Data for Libraries (LD4L): Outcomes and Opportunities (Krafft, Cramer)

We will report on the first 22 months of the two-year Mellon-funded Linked Data for Libraries (LD4L) project. LD4L is a partnership of Cornell University Library, Stanford University Libraries, and the Harvard Library. The goal of the project is to use Linked Open Data (LOD) to leverage the intellectual value that librarians and other domain experts and scholars add to information resources when they describe, annotate, organize, select, and use those resources, together with the social value evident from patterns of usage. This progress report will show demonstration applications to address the linked data use cases developed during the project. We will report on our engineering work to translate, augment, aggregate, and reconcile identifiers across the 29 million scholarly resource records from the catalogs of the partners, and share this information as LOD. We will report on the recommendations and challenges identified at the LD4L Workshop held in February 2015. Finally, we will describe some of the plans to continue our work on advancing library use of LOD in 2016 and beyond.

Something Old, Something New: Applying Linked Data to a Digital Repository (Blair)

The Library Digital Repository (LDR) of the University of Chicago Library contains the digital component of the University of Chicago Archives as well as other types of content. The traditional archival model of transferring, accessioning and processing material is used to build the LDR. Accessioning uses a forms-based Web front end and a relational database back end. Processing is accomplished by creating Submission Information Packages (SIPs) in Turtle (Terse RDF Triple Language) format from the accessions database in conformance to the Europeana Data Model (EDM), which allows one to model the variety of content types which exist in the LDR in a uniform manner. Using the OAI-ORE (Open Archives Initiative Object Reuse and Exchange) model underlying EDM, PREMIS-compliant technical metadata for digital resources are recorded for digital masterfiles. Dissemination Information Packages (DIPs) are created by means of SPARQL (SPARQL Protocol and RDF Query Language) queries once the SIPs have been loaded into an RDF triplestore. DIPs contain actionable URLs based on the ARK (Archival Resource Key) identifiers assigned at the time of accessioning. This lightweight approach has high “tensile strength”: it can handle a full workload with a relatively small amount of effort expended in its development and maintenance.

http://ld4l.org

Presentation (Krafft, Cramer)

Presentation (Blair)

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Filed Under: CNI Fall 2015 Project Briefings, Information Access & Retrieval, Project Briefing Pages, Repositories, Special Collections
Tagged With: cni2015fall, Project Briefings & Plenary Sessions

Last updated:  Monday, July 18th, 2022

 

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