(Unfunded) CEN WS-LTWorking GroupInformation Model for Capturing Informationabout the Perceived Quality and Reusabilityof Learning Objects JORIS.KLERKX@CS.KULEUVEN.BE HTTPS://SITES.GOOGLE.COM/SITE/CENSOCIALDATA JANUARY 17 2011, BRUSSELS
Recap : Why?a LOT of work has been done on interoperabilityof 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)
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...
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-lineHTTP://WWW.NEEOPROJECT.EU/http://www.slideshare.net/bpauwels/exchange-of-usage-metadata-in-a-network-of-institutional-repositories-the-case-of-economists-online
http://www.slideshare.net/bpauwels/exchange-of-usage-metadata-in-a-network-of-institutional-repositories-the-case-of-economists-online Encoded using openURL ContextObject http://homepages.ulb.ac.be/~bpauwels/NEEO/WP5/WP5 Usage metadata guidelines.pdf
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 metricsHTTP://WWW.MESUR.ORG/
So... what do we wantto achieve exactly?And how?HTTPS://SITES.GOOGLE.COM/SITE/CENSOCIALDATA/FILE-CABINET DOWNLOAD: SUMMARY OF INTEREST
Framework2 aspects: Datamodel to capture activities in certain systems eg. Contextualized Attention Metadata Datamodel to capture values for eg ratings, comments, tags, etc.
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.