The OU Linked Open Data: Production and Consumption
被引:0
作者:
Zablith, Fouad
论文数: 0引用数: 0
h-index: 0
机构:
Open Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, EnglandOpen Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, England
Zablith, Fouad
[1
]
Fernandez, Miriam
论文数: 0引用数: 0
h-index: 0
机构:
Open Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, EnglandOpen Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, England
Fernandez, Miriam
[1
]
Rowe, Matthew
论文数: 0引用数: 0
h-index: 0
机构:
Open Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, EnglandOpen Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, England
Rowe, Matthew
[1
]
机构:
[1] Open Univ, Knowledge Media Inst KMi, Milton Keynes MK7 6AA, Bucks, England
来源:
SEMANTIC WEB: ESWC 2011 WORKSHOPS
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2012年
/
7117卷
关键词:
Linked Data;
education;
expert search;
social networks;
D O I:
暂无
中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
The aim of this paper is to introduce the current efforts toward the release and exploitation of The Open University's (OU) Linked Open Data (LOD). We introduce the work that has been done within the LUCERO project in order to select, extract and structure subsets of information contained within the OU data sources and migrate and expose this information as part of the LOD cloud. To show the potential of such exposure we also introduce three different prototypes that exploit this new educational resource: (1) the OU expert search system, a tool focused on finding the best experts for a certain topic within the OU staff; (2) the Social Study system, a tool that relies on Facebook information to identify common interest between a user's profile and recommend potential courses within the OU; and (3) Linked Open Learn, an application that enables exploring linked courses, Podcasts and tags to Open Learn units. Its aim is to enhance the browsing experience for students, by detecting relevant educational resources on the fly while studying an Open Learn unit.