Building Prototypes Aggregating Musicological Datasets on the Semantic Web

被引：4

作者：

Nurmikko-Fuller, Terhi ^{[1
]}

Bangert, Daniel ^{[2
]}

Dix, Alan ^{[3
]}

Weigl, David ^{[4
]}

Page, Kevin ^{[4
]}

机构：

[1] Australian Natl Univ, Ctr Digital Humanities Res, 120 McCoy Circuit, Canberra, ACT 2601, Australia

[2] Univ Gottingen, Univ Bibliothek Gottingen, Pl Gottinger Sieben 1, D-37073 Gottingen, Germany

[3] Univ Birmingham, Sch Comp Sci, HCI Ctr, Birmingham, W Midlands, England

[4] Univ Oxford, Dept Engn Sci, Oxford E Res Ctr, 7 Keble Rd, Oxford OX1 3QG, England

来源：

BIBLIOTHEK FORSCHUNG UND PRAXIS | 2018年 / 42卷 / 02期

关键词：

Musicology; ontology; workflow;

D O I：

10.1515/bfp-2018-0025

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Semantic Web technologies such as RDF, OWL, and SPARQL can be successfully used to bridge complementary musicological information. In this paper, we describe, compare, and evaluate the datasets and workflows used to create two such aggregator projects: In Collaboration with In Concert, and JazzCats, both of which bring together a cluster of smaller projects containing concert and performance metadata.

引用

页码：206 / 221

页数：16