Linked Library Data Interest Group (LITA / ALCTS)

Presentation Slides Available - Linked Library Data Interest Group Session - ALA Annual 2017

  • 1.  Presentation Slides Available - Linked Library Data Interest Group Session - ALA Annual 2017

    Posted Jun 24, 2017 10:10 AM
    Edited by Unknown Apr 06, 2018 02:21 PM

    Time: Saturday, June 24, 2017, 8:30-10:00 AM


    Location: McCormick Place, S102


     


    Applicability and Practicality of BIBFRAME


    Thank you to our speakers for three exciting presentations describing the use of the BIBFRAME model in current library projects.


    Slides available via links here:


     


    1. Linked Data Versus Basic Search Engine Optimization: A Case Study [1]


    Brian Rennick, Associate University Librarian for Information Technology, Brigham Young University Libraries


    Abstract: During the past year, the Brigham Young University Library subscribed to the Library Link Network service from Zepheira and SirsiDynix that transformed over four million catalog records from MARC to BIBFRAME linked data. As part of our exploration of this service, we tracked the number of referrals to our catalog from the linked network. A separate initiative that exposed records via search engine optimization techniques was launched at approximately the same time, allowing us to compare the effectiveness of the two different approaches. This presentation will share the results of the study and lessons learned.


    Speaker Bio: Brian Rennick is the Associate University Librarian for Information Technology at Brigham Young University's Harold B. Lee Library. His work in a diversity of industries—finance, government, manufacturing, and education—has provided him with a broad perspective on information technology matters. Brian's current research interests are focused on library systems, user experience design, and digital scholarship.


     


    2. The Shot Heard Round the World: Linked Data for Production's Tracer Bullet 1, Practical Copy-Cataloging in RDF [2]


    Philip E. Schreur, Assistant University Librarian for Technical and Access Services, Stanford University


    Abstract: Linked Data for Production is a Mellon-funded project focused on beginning the transition of traditional Technical Services workflows to ones rooted in linked data.  One aspect of Stanford’s work on this grant is the conversion of four workflows as Tracer Bullets; that is, to work from the beginning to the end of a process in a lightweight fashion knowing that it can be fleshed out over time.  Tracer Bullet 1 focuses on the conversion of our vendor-supplied copy flow from Acquisitions through to Discovery.  Taking advantage of copy supplied by Casalini Libri, Stanford has converted this workflow from initial ingestion as MARC metadata, conversion to linked data in the form of BIBFRAME 2.0, and discovery through its Blacklight interface, SearchWorks.  The presentation will outline the workflow, highlighting decisions that have been made in its development and stressing those areas that will need to be further enhanced.


    Speaker Bio: Philip Schreur is currently the Assistant University Librarian for Technical and Access Services at Stanford University.  He earned a PhD from Stanford in Medieval music theory and an MLIS from the University of California, Berkeley.  Philip has been the Chair of the Program for Cooperative cataloging and deeply involved in the implementation of the new cataloging rules Resource, Description and Access (RDA) in the United States. With a mid-career move to HighWire Press, he developed an interest in the automated taxonomic analysis of digital texts.  Currently, he is in charge of coordinating linked-data project development for the Stanford University Libraries (SUL).  Initial areas of interest include the use of linked data as a mechanism for identity management across traditional resources and those within the digital library, the integration of linked data from disparate sources, and the transition of traditional technical services workflows to processes rooted in linked open data.  


     


    3. SHARE Virtual Discovery Environment in Linked Data [3]


    Tiziana Possemato, Chief Information Officer of Casalini Libris and Director of @Cult


    Abstract: Through the individual processes of analysis, enrichment, conversion and publication of data from MARC21 to RDF, and in the context of libraries with different systems, habits and cataloguing traditions, a prototype of a virtual discovery environment with a three BIBFRAME layer architecture (Person/Work, Instance, Item) is established. The presentation will give an overview of the following main goals of this project currently in phase 2 (www.share-vde.org):




    • The reconciliation and clusterization of varying forms of the same entity;




    • The enrichment of MARC records with URIs along with the development of detection procedures for entity identification, including relator terms;




    • The conversion, supply and management of authority and bibliographical data in BIBFRAME, taking into account the complexity of the long transition time for both the library and the data producer;




    • The publication of a BIBFRAME three layered platform prototype.




    Speaker Bio: Tiziana Possemato holds a degree in Philosophy (La Sapienza Rome), diplomas in Archival Science and Library Sciences (Vatican Schools) and a master degree in Library Sciences (University of Florence).  She has led numerous projects for library automation, analysis, mapping, conversion and for the transformation in Linked Open Data and the publication of catalogue data from numerous institutions.  Tiziana is the Chief Information Officer of Casalini Libri, and Director of @Cult.


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    [1] https://connect.ala.org/communities/community-home/librarydocuments/viewdocument?DocumentKey=c4cea916-df14-4749-92c1-7dea4e5b6939


    [2] https://connect.ala.org/communities/community-home/librarydocuments/viewdocument?DocumentKey=c4cea916-df14-4749-92c1-7dea4e5b6939 


    [3] https://connect.ala.org/communities/community-home/librarydocuments/viewdocument?DocumentKey=c4cea916-df14-4749-92c1-7dea4e5b6939


     
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