Linked Data

http://www.prelida.eu/sites/default/files/David%20Giaretta-Preservation.pdf

This paper presents an approach for the automatic estima- tion of preservation risks for file formats. The main con- tribution of this work is the definition of risk factors with associated severity levels and their automatic computation. Our goal is to make use of a solid knowledge base auto- matically aggregated from linked open data repositories as the basis for a risk analysis in the digital preservation do- main. This method is meant to facilitate decision making with regard to preservation of digital content in libraries and archives.

The preservation community is busily building systems for repositories, identification and characterisation, analysis and monitoring, planning and other key activities, and increas- ingly, these systems are linked to collaborate more effec- tively. While some standard metadata schemes exist that facilitate interoperability, the controlled vocabularies that are actually used are rare and not powerful enough for the requirements of emerging scalable preservation ecosystems.

This blog post details an interactive visualisation of DigitalNZ data, which you can experiment with as a Google Fusion Table. Note that by default the visualisation will only show about 150 nodes. Increase the number of nodes to the maximum value to see everything.

The goal of the tutorial is to introduce the audience into the basics of the technologies used for Linked Data. This includes RDF, RDFS, main elements of SPARQL, SKOS, and OWL. Some general guidelines on publishing data as Linked Data will also be provided, as well as real-life usage examples of the various technologies.
The instructor was Ivan Herman, Semantic Web Activity Lead at the World Wide Web Consortium (W3C).
http://dcevents.dublincore.org/IntConf/dc-2013/paper/view/195/112

The National Information Standards Organization (NISO) and the UKSG announce the release of a draft for public comment of a revision to the Knowledge Bases and Related Tools (KBART) Recommended Practice.

Linked Open Data (LD) is an emerging paradigm for representing information in ways that works at Internet scale. Libraries, archives, and museums are poised to take advantage of this new way of working, but there are many challenges ahead. This site explores the benefits of design patterns – optimized solutions to common problems – for the development of cultural heritage Linked Data.
The Protopattern Wiki provides a sandbox to identify partial patterns, problems, or solutions that need to be examined and classified.

[This is the third in a series on the OCLC Research Library Partnership meeting, Past Forward. More to come!]

This paper describes tools and methods developed as part of Linked Jazz, a project that uses Linked Open Data (LOD) to reveal personal and professional relationships among jazz musicians based on interviews from jazz archives. The overarching aim of Linked Jazz is to explore the possibilities offered by LOD to enhance the visibility of cultural heritage materials and enrich the semantics that describe them.

Preservation Datasets - The Linked Data Service is to provide access to commonly found standards and vocabularies promulgated by the Library of Congress. This includes data values and the controlled vocabularies that house them. Below are descriptions of each preservation vocabulary derived from the PREMIS standard. Inside each, a search box allows you to search the vocabularies individually .
http://id.loc.gov/preservationdescriptions/