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Weeksville Heritage Center is a multidisciplinary museum dedicated to preserving the history of the 19th century African American community of Weeksville, Brooklyn - one of America’s many free black communities.
Weeksville Lost Jazz Shrines of Brooklyn Collection (WLJSB)
The Weeksville Lost Jazz Shrines of Brooklyn (WLJSB) project emerged out of a series of questions developed by the WHC research staff in an October 2008 proposal concerning the cultural legacy of jazz history in Central Brooklyn. Between the 1930s and 1960s, Central Brooklyn was home to a unique and rich jazz culture; one very similar to that of the well-known jazz scene of Harlem, between 1940-1960. Created by Weeksville’s research staff, the WLJSB collection examines this Brooklyn Jazz culture through key musical artists of the aforementioned time period.
The Semantic Lab at Pratt is a testbed and incubator for the development of novel methods and tools for the application of semantic technologies to libraries, archives and museums. A leader in linked open data for cultural heritage, the lab is a resource for researchers, students and practitioners interested in gaining new competencies and a place for experimenting with innovative information technologies.
Linked Jazz project, a project of the Semantic Lab at Pratt, investigates the application of Linked Open Data technologies to digitized jazz history materials to uncover meaningful connections between documents and data related to the personal and professional lives of jazz artists. The Linked Jazz project serves as the inspiration for and integral component of the Linking Lost Jazz Shrines project. A future aspiration of the Linking Lost Jazz Shrines project is for its data to be integrated into Linked Jazz's Network Visualization.
Collections as Data: Part to Whole is an Andrew W. Mellon Foundation funded initiative that asserts and funds two cohorts of projects on the principal that "digital collections can be more than digital surrogates of physical items or born digital objects and, in fact, can and should be offered as machine actionable data that are ready for computational research methods."
Open source tools developed by Semantic Lab at Pratt co-director Matt Miller aid in the creation of linked open data. In 2017, the Semantic Lab was awarded an IMLS grant to begin developing DADAlytics, which consists of a Named Entity Recognition (NER) service and Sélavy, an application to create linked data triples from a textual document. In October 2019, the alpha version of Sélavy was released. Interested users are invited to view the Sélavy Alpha Demo Video or try the Alpha version of the Sélavy.
Wikibase Install Basic Tutorial
The Semantic Lab at Pratt is moving its Linked Jazz dataset over to Wikbase platform, the knowledge base software developed by Wikimedia Deutschland. This Wikibase install tutorial by Semantic Lab at Pratt co-director Matt Miller can assist if you would like to get Wikibase up and running for your project. Additional information can be found on Matt Miller's post Wikibase for Research Infrastructure — Part 1.
Co-authored by Mikki Shepard and David Earl Jackson, Lost Jazz Shrines (1998) showcases and commemorates great venues that were important to the development of jazz around the country. Unique cities that were a part of the development of jazz included: Newark, Kansas City, San Antonio, Cleveland, Indianapolis, Philadelphia, Washington DC, and Brooklyn. Lost Jazz Shrines was inspiration for the creation of the Weeksville Lost Jazz Shrines of Brooklyn Collection (WLJSB).
Linked Open Data - What Is It?
Simple animation to explain what Linked Open Data is and why it's a good thing, both for users and for data providers, created by Europeana. To find more information about Europeana's linked data pilot, visit data.europeana.eu. If you'd like to read more on Europeana's open data policy, find it at pro.europeana.eu/support-for-open-data.
Linked Open Vocabularies (LOV) provides a choice of several hundreds of RDF vocabularies, based on quality requirements including URI stability and availability on the Web, use of standard formats and publication best practices, quality metadata and documentation, identifiable and trustable publication body, proper versioning policy. LOV is a staple resource for building or enhancing a linked data ontology.
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