TY - GEN
T1 - In collaboration with In Concert
T2 - 3rd International Workshop on Digital Libraries for Musicology, DLfM 2016
AU - Nurmikko-Fuller, Terhi
AU - Dix, Alan
AU - Weigl, David M.
AU - Page, Kevin R.
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/8/12
Y1 - 2016/8/12
N2 - Diverse datasets in the area of Digital Musicology expose complementary information describing works, composers, performers, and wider historical and cultural contexts. Interlinking across such datasets enables new digital methods of scholarly investigation. Such bridging presents challenges when working with legacy tabular or relational datasets that do not natively facilitate linking and referencing to and from external sources. Here, we present pragmatic approaches in turning such legacy datasets into linked data. InConcert is a research collaboration exemplifying these approaches. In this paper, we describe and build on this resource, which is comprised of distinct digital libraries focusing on performance data and on concert ephemera. These datasets were merged with each other and opened up for enrichment from other sources on the Web via conversion to RDF. We outline the main features of the constituent datasets, describe conversion workflows, and perform a comparative analysis. Our findings provide practical recommendations for future efforts focused on exposing legacy datasets as linked data.
AB - Diverse datasets in the area of Digital Musicology expose complementary information describing works, composers, performers, and wider historical and cultural contexts. Interlinking across such datasets enables new digital methods of scholarly investigation. Such bridging presents challenges when working with legacy tabular or relational datasets that do not natively facilitate linking and referencing to and from external sources. Here, we present pragmatic approaches in turning such legacy datasets into linked data. InConcert is a research collaboration exemplifying these approaches. In this paper, we describe and build on this resource, which is comprised of distinct digital libraries focusing on performance data and on concert ephemera. These datasets were merged with each other and opened up for enrichment from other sources on the Web via conversion to RDF. We outline the main features of the constituent datasets, describe conversion workflows, and perform a comparative analysis. Our findings provide practical recommendations for future efforts focused on exposing legacy datasets as linked data.
KW - Batch and live processing
KW - Concert ephemera
KW - Linked data
KW - Performance metadata
KW - RDF
KW - Workflows
UR - http://www.scopus.com/inward/record.url?scp=84985996222&partnerID=8YFLogxK
U2 - 10.1145/2970044.2970049
DO - 10.1145/2970044.2970049
M3 - Conference contribution
T3 - ACM International Conference Proceeding Series
SP - 17
EP - 24
BT - Proceedings - DLfM 2016
PB - Association for Computing Machinery
Y2 - 12 August 2016
ER -