EMuRgency project - LICT Industrial affiliation day
44rd CEN WS/LT meeting PT social data
1. (Unfunded) CEN WS-LT
Working Group
Information Model for Capturing Information
about the Perceived Quality and Reusability
of Learning Objects
JORIS.KLERKX@CS.KULEUVEN.BE
HTTPS://SITES.GOOGLE.COM/SITE/CENSOCIALDATA
JANUARY 17 2011, BRUSSELS
2. Recap : Why?
a LOT of work has been done on interoperability
of and global interconnectedness of LORs
1484.12.1-2002 IEEE Standard for Learning Object Metadata
CWA 15555 Guidelines and support for building Application Profiles
CWA 14645 Alternative language versions of LOs in IEEE LOM
CWA 15454 Simple Query Interface
PLQL
OAI-PMH
CWA 16097 Simple Publishing Interface
IMS LODE (ILOX, LOR Registry data model, LODE context set (for CQL)
3. Recap : Why?
All this work is based on sharing and reusing
content
But what about
Usage of resources ?
Tags, Comments, Bookmarks, Ratings, etc.
NO STANDARD OR SPECIFICATION YET?
NOT EXACTLY...
4. Scholarly Works Usage
Community Profile (SWUP)
Network of Economists
Online (NEEO) project -
eContentPlus, €2m, 30
months (Sep 2007 – March
2010)
+/- 800.000 bibliographic
references |+/- 650.000
publications available on-line
HTTP://WWW.NEEOPROJECT.EU/
http://www.slideshare.net/bpauwels/exchange-of-usage-metadata-in-a-network-of-institutional-repositories-the-case-of-economists-online
6. MESUR - Metrics from Scholarly
Usage of Resources
www.mesur.org
October 2006- october 2008
Also based on openURL ContextObject
Semantic model of scholarly communication
Definition and validation of a range of usage-
based metrics
HTTP://WWW.MESUR.ORG/
14. So... what do we want
to achieve exactly?
And how?
HTTPS://SITES.GOOGLE.COM/SITE/CENSOCIALDATA/FILE-CABINET
DOWNLOAD: SUMMARY OF INTEREST
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19. Framework
2 aspects:
Datamodel to capture activities in certain systems
eg. Contextualized Attention Metadata
Datamodel to capture values for eg ratings,
comments, tags, etc.
20. Benefit from experience
ASPECT, LRE, ROLE, Organic.edunet, Social Metadata Broker,
ALOE, MACE, ...
Close cooperation with datatel - STELLAR Theme Team
Main objective: Collect a data set driven framework for
research on recommender systems for learning.