Linked Data for Libraries (LD4L): Expanding the Linked Data Ecosystem

2016-08-25T18:25:31Z (GMT) by Dean Krafft
The Linked Data for Libraries (LD4L) team, consisting of librarians, ontologists, metadata experts, and developers from Cornell, Harvard, and Stanford libraries with support from the Andrew W. Mellon Foundation, has recently completed its first two years of work on adapting and developing LOD standards for describing and sharing information about scholarly information resources. In this presentation, we will describe how to access and use the LOD created by the project, representing some 29 million scholarly information resources cataloged by the three partner institutions. We will also describe the demonstration Blacklight search operating over the combined dataset.
We will then describe the follow-on work currently underway in two closely related efforts. LD4L Labs is a partnership of Cornell, Harvard, Iowa, and Stanford focused on creating tools to support original cataloging of scholarly information resources using linked data, as well as tools to support using linked data to organize, annotate, visualize, browse, and discover these resources. The LD4P (Linked Data for metadata Production) project is a partnership of Stanford, Columbia, Cornell, Princeton, Harvard, and the Library of Congress to do original and copy cataloging of a wide range of collections and materials, including unique collections of Hip-Hop LPs, performed music, cartographic materials, audiovisual and sound recordings, two and three-dimensional art objects, and the personal library of a famous author and scholar.
Finally, we will draw on the use cases and examples embodied in this work to discuss some of the opportunities to engage directly with VIVO profiles, the VIVO community, and the broader researcher profiling ecosystem. Several of the efforts within LD4L Labs and LD4P will be looking at using VIVO profiles as local authorities during the process of cataloging scholarly resources. There are also potential opportunities for VIVO instances to take advantage of some of the ontology refinements that LD4L uses in describing scholarly works. We will explore some of the implications that these developments might have for how VIVO is used and evolves at academic institutions.