YUMA - Crowd Sourced Metadata Enrichment for Online Collections

被引：0

作者：

Jung, Joachim ^{[1
]}

Simon, Rainer ^{[1
]}

Haslhofer, Bernhard ^{[2
]}

机构：

[1] AARIT, AIT Austrian Inst Technol, Vienna, Austria

[2] Cornell Univ, Ithaca, NY 14853 USA

来源：

ERCIM NEWS | 2011年 / 86期

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Annotations have been a means of scholarly communication and an invaluable research tool for centuries. The Open Source YUMA Universal Media Annotator takes this paradigm and makes it available for the collaborative annotation of online media resources. The YUMA suite of tools can currently be used for image, map, audio and video annotation. It is designed to be integrated into any host environment (like a digital library portal or an online media collection) and enables mash- ups across such environments by exposing annotation data according to the Linked Data principles. Linked Data is also the basis for one of YUMA's unique features: Semantic Tagging. A semi- automatic mechanism provides users with tag suggestions that can be used to effortlessly augment annotations with structured context information, eg about places, persons of interest or historical periods.

引用

页码：33 / 34

页数：2