Program Announcement: LITA/ALCTS Linked Library Data Interest Group Virtual Meeting for ALA Midwinter
Time: Monday, February 17, 2020, 11:00 AM CST (12:00 PM EST)
Can’t go to Philadelphia for ALA Midwinter? Well, the Linked Library Data Interest Group is meeting online! Please join us for two exciting presentations about how linked data can affect search and discovery. After our speaker presentations, the group will have an opportunity for questions and discussion.
Please register using the link provided below for Library Linked Data Interest Group Virtual Meeting (LITA/ALCTS) on Feb 17, 2020 starting at 11:00 AM CST (12:00 PM EST):
After registering, you will receive a confirmation email containing information about joining the webinar.
Prototyping a Linked Data Discovery Interface
Beth Picknally Camden, Goldstein Director of Information Processing, University of Pennsylvania Libraries
The University of Pennsylvania Libraries have been working with the Share-VDE (Virtual Discovery Environment) http://share-vde.org/sharevde/ initiative since its inception in 2016. In 2019, Penn embarked on a special project with Casalini, @Cult and Samhaeng to harness the power of the large Share-VDE database. Penn’s goals are to demonstrate discovery in a linked-data user interface, and enhance usability with APIs that will allow users to find resources and request delivery (local or ILL). This presentation will give an overview of Share-VDE and the UX/UI process for developing the prototype, and include a demo of the prototype.
Using IIIF and linked data to help improve search and discovery of digital cultural heritage material
Jeff Mixter, OCLC Research
OCLC is a member in the IIIF (International Image Interoperability Framework) Consortium and has been integrating IIIF standards in OCLC products for the past 4 years. In 2019, OCLC Research started experimenting with the IIIF Change Discovery API, testing its use as an IIIF syndication and aggregation protocol. This experimental work confirmed the benefits of standardization around the IIIF Change Discovery API and resulted in an experimental discovery application for searching across 13 Million IIIF compliant CONTENTdm resources. In addition to testing the new IIIF Change Discovery API, the work also highlighted the metadata analysis and synthesis challenges that arise when working with heterogeneous IIIF resource descriptions in a large aggregation. This discussion will summarize OCLC Research's development efforts and report our findings from this experimental work.
Annamarie C. Klose, MLIS
Metadata Initiatives Librarian
The Ohio State University Libraries
120B Library Tech Center, 1165 Kinnear Road, Columbus, OH 43212
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