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Integrating data from knowledge graphs to enhance library discovery

As part of the Linked Data For Production: Pathway to Implementation (LD4P2) project’s larger goal of building a pathway to the use of linked data in the description of library resources, we are exploring the integration of linked data sources in library discovery interfaces. Through a series of focused experiments and prototype building, aided by user studies and feedback, we have explored linking and displaying connections between library catalog data and linked data sources such as Wikidata and DbPedia as well as library authorities such as FAST, Library of Congress Subject Headings, and the Library of Congress Name Authority File. Examples of areas we investigated for the integration of linked data include: knowledge panels bringing in contextual information and relationships from knowledge graphs like Wikidata to describe people and subjects related to library resources in the catalog; suggested searches based on user-entered queries using results from Wikidata and DbPedia; and browsing experiences for subjects and authors bringing in relationships and data from Wikidata and library authorities. In this presentation, we will review the challenges and opportunities with bringing in information from external knowledge graphs into a library catalog to support discovery. LD4P2 (http://ld4p.org) is a multi-institution collaborative effort funded by the Andrew W. Mellon Foundation.
Topic
Library
Date
May 7th 2020, 2:20pm EST
Keywords
Slides
https://zenodo.org/record/3817541

Huda Khan

2

Cornell University

Huda Khan works in software development at Mann Library, Cornell University. She is interested in the design and architecture of linked data and semantic web applications, specifically in: (a) supporting usability through effective interface design and (b) enabling flexible interplay between different components and/or technologies. In the LD4P2 grant, she has focused on experiments around integrating linked data into library discovery systems.

Lightening talks from the Main Stage along with speaker Q&A sessions

May 4-7, 2020

Virtual

Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.