Linking FAST and Wikipedia
12 August 2016
Rick Bennett, Eric Childress, Kerre Kammerer, Diane Vizine-Goetz
This paper describes a research project to develop automated techniques for linking FAST (Faceted Application of Subject Terminology) to Wikipedia articles. The research is motivated by libraries’ interest in connecting library resources such as authority files to non-library linked data resources such as GeoNames and DBpedia (a dataset containing structured data extracted from Wikipedia). Of the approximately 183,000 non-subdivided topical headings in the FAST vocabulary, 76,000 terms were matched to Wikipedia article titles with 95% accuracy. Wikipedia links in the FAST authority file and FAST linked data enable people and software applications to take advantage of information in both of these resources.
Analysis of International Linked Data Survey for Implementers
1 July 2016
Karen Smith-Yoshimura
The International Linked Data Survey for Implementers conducted by OCLC Research in 2014 and 2015 attracted responses from 90 institutions in 20 countries. This analysis of the 112 linked data projects or services described by the 2015 respondents — those that publish linked data, consume linked data, or both — indicates that most are primarily experimental in nature. This article provides an overview of the linked data projects or services institutions or organizations have implemented or are implementing, what data they publish and consume, the reasons respondents give for implementing linked data and the barriers encountered. Relatively small projects are emerging and provide a window into future opportunities. Applications that take advantage of linked data resources are currently few and are yet to demonstrate value over existing systems.
A Division of Labor: The Role of Schema.org in a Semantic Web Model of Library Resources
15 June 2016
Carol Jean Godby
This chapter describes some of OCLC’s experiments with Schema.org as the foundation for a linked data model of library resources.
Common Ground: Exploring Compatibilities Between the Linked Data Models of the Library of Congress and OCLC
3 December 2015
Carol Jean Godby, Ray Denenberg
Jointly released by OCLC and the Library of Congress, this white paper compares and contrasts the compatible linked data initiatives at both institutions. It is an executive summary of a more detailed technical analysis that will be released later this year.
The white paper summarizes the recent activity of the Bibliographic Framework Initiative at the Library of Congress which proposes a data model for future data interchange in the linked data environment that takes into account interactions with search engines and current developments in bibliographic description. It also provides an overview of OCLC’s efforts to refine the technical infrastructure and data architecture for at-scale publication of linked data for library resources in the broader Web. In addition, it investigates the promise of Schema.org as a common ground between the language of the information-seeking public and professional stewards of bibliographic description.
Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description
4 April 2015
Carol Jean Godby, Shenghui Wang, Jeffrey K. Mixter
The Relationship between BIBFRAME and OCLC’s Linked-Data Model of Bibliographic Description: A Working Paper
15 May 2013
Jean Godby
This report describes a proposed alignment between BIBFRAME and a model being explored by OCLC with extensions proposed by the Schema Bib Extend project, a W3Csponsored community group tasked with enhancing Schema.org to the description of library resources.