Title :
Muzk Mesh: Interlinking Semantic Music Data
Author :
Singhi, Mayank ; Ding, Ying ; Sun, Yuyin
Author_Institution :
Sch. of Libr. & Inf. Sci., Indiana Univ., Bloomington, IN, USA
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
The vision of the Semantic Web is to lift current Web into semantic repositories where heterogeneous data can be queried and different services can be mashed up. The Web becomes a platform for integrating data and services. The paper discusses the MuzkMesh music portal which mashups existing semantic music data from the Linked Open Data (LOD) bubbles and other common APIs. It aims to demo the power of semantic integration and useful use scenarios on music retrieval and entertainment.
Keywords :
distributed databases; information retrieval; multimedia databases; music; semantic Web; MuzkMesh music portal; Semantic Web; heterogeneous data; linked open data bubble; music retrieval; semantic integration; semantic music data interlinking; semantic repository; Feeds; Google; Mashups; Resource description framework; Semantics; YouTube; Linked Open Data; Semantic mashup; data integration; music data;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.162
