Yun Hao’s research while affiliated with University of Illinois Urbana-Champaign and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (3)


Swinging Triples: Bridging Jazz Performance Datasets using Linked Data
  • Conference Paper

October 2018

·

48 Reads

·

3 Citations

·

·

Yun Hao

·

The jazz performance metadata prototype JazzCats:Jazz Collection of Aggregated Triples uses Linked Data to bridge four discrete jazz music datasets: Linked Jazz, with prosopographical and interpersonal information about musicians; the Weimar Jazz Database (WJazzD), containing musicological metadata; a discography of the jazz standard Body&Soul; and J-DISC, a fourth independent but complementary and extensive discographic project. Through the use of custom-built ontological structures the data, originally stored in various different information structures, has been converted to RDF and merged together in a single triplestore. The result is a new digital resource that can be used to support and enrich scholarship and research in musicology and performance studies.


Jazzcats: navigating an RDF triplestore of integrated performance metadata

September 2018

·

24 Reads

·

2 Citations

Applying Linked Data techniques to musical metadata can facilitate new paths of musicological inquiry. JazzCats: Jazz Collection of Aggregated Triples is a prototype project interlinking four discrete jazz performance datasets and external sources as references. Tabular, relational, and graph legacy datasets have necessitated different RDF production and ingestion workflows to support scholarly study of performance traditions. This paper highlights critical processes of data curation for digital libraries, including quality assessment of the ingested datasets. In addition, we describe research questions enabled by JazzCats, raise musicological implications, and offer suggestions to overcome current limitations.


Exploring J-DISC: Some Preliminary Analyses

August 2016

·

18 Reads

·

4 Citations

J-DISC, a specialized digital library for information about jazz recording sessions that includes rich structured and searchable metadata, has the potential for supporting a wide range of studies on jazz, especially the musicological work of those interested in the social network aspects of jazz creation and production. This paper provides an overview of the entire J-DISC dataset. It also presents some exemplar analyses across this dataset to better illustrate the kinds of uses that musicologists could make of this collection. Our illustrative analyses include both informetric and network analyses of the entire J-DISC data which comprises data on 2,711 unique recording sessions associated with 3,744 distinct artists including such influential jazz figures as Dizzy Gillespie, Don Byas, Charlie Parker, John Coltrane and Kenny Dorham, etc. Our analyses also show that around 60% of the recording sessions included in J-DISC were recorded in New York City, Englewood Cliffs (NJ), Los Angeles (CA) and Paris during the year of 1923 to 2011. Furthermore, our analyses of the J-DISC data show the top venues captured in the J-DISC data include Rudy Van Gelder Studio, Birdland and Reeves Sound Studios. The potential research uses of the J-DISC data in both the DL (Digital Libraries) and MIR (Music Information Retrieval) domains are also briefly discussed.

Citations (3)


... Case Study 3: Jazz Cats (Jazz Collection of Aggregated Triples) [19][20][21][22] Description: This project involved bringing together three separate datasets related to jazz music, one in a tabular/CSV form, one in a relational database, and one dataset that was already in RDF. This project was worked on after the previous two projects, and as such used the lessons learned and tools identified from those. ...

Reference:

Failed it to Nailed It! Getting Data Sharing Right: Event 2 Report - Data Standards
Swinging Triples: Bridging Jazz Performance Datasets using Linked Data
  • Citing Conference Paper
  • October 2018

... The datasets in question were the Weimar Jazz Database, the Linked-Jazz repository and the Body&Soul dataset 22 which provides a discography for over 200 performances of ''Body and Soul'' recorded between 1930 and 2004 [54]. A follow-up project further added connections to two other musicological datasets describing concert life in London in the 18th and 19th centuries [50,55]. The goal was to connect existing datasets, not to model the domain of jazz with its specific characteristics which differentiate it from other musical domains. ...

Jazzcats: navigating an RDF triplestore of integrated performance metadata
  • Citing Conference Paper
  • September 2018

... J-DISC is a digital library (as defined in [1]) specialising in jazz recording sessions. The dataset of 19 relational tables was created as a snapshot [5] from the original data produced by the Center for Jazz Studies at Columbia University 5 . The J-DISC data can be downloaded in two ways: SQL dump 6 , or CSV files 7 . ...

Exploring J-DISC: Some Preliminary Analyses
  • Citing Conference Paper
  • August 2016