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Subject:
From:
Doreen Cheng - SISA <[log in to unmask]>
Reply To:
Doreen Cheng - SISA <[log in to unmask]>
Date:
Sun, 8 Apr 2012 21:24:35 +0000
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I apologize if you would receive multiple copies of this CFP.

Thank you,
Doreen Cheng


Personalized Knowledge Modeling with Big (Usage & Context) Data
Call for Papers
A Workshop co-located with UMAP'12<http://umap2012.polymtl.ca/en/>, July 16-20, 2012, Montreal, Canada http://umbigdata.wordpress.com/

Objectives
The objective of this workshop is to strengthen the position of big data, Linked Data and Semantic Web in user and context modeling. We are interested in attracting current research and work in progress, which combine aspects of these fields and illustrate innovative applications. We aim at expanding the current UMAP community by attracting researchers from those related fields to discuss promising solutions and to share results and insights answering the focus questions above.
Topics

·         Aggregating multiple sources of user context and usage data, from the social web and e-commerce sites, for generating user models

·         Ontology mining and personalized knowledge discovery from  user usage and context data in the Web and devices

·         Using analytics for visualizing and summarizing large user (interest, preference and context) data

·         Using analytics as a basis for explanation and interaction with user profiles

·         Novel data analysis algorithms that enable easy, rapid knowledge discovery from complex data

·         Novel applications of user model data beyond just recommender systems, e.g. trending of user behavior, indicating society impact, processes and evolution

·         Using Linked (Open) Data for representation of dynamic user profiles on the web

·         Using Linked (Open) Data for interpretation of usage and context data on the social web

·         Reasoning for user and context profiles with big data

·         Defining relevance measures when dealing with incomplete but large amounts of data

·         Novel ranking mechanisms for serendipitous (semantic) personalized results

·         Evaluation methodologies and approaches for real-time personalization in big (social web and semantic) datasets

·         Personalization for ubiquitous computing

·         Novel personalization algorithms with big datasets
Submission Guidelines
We call for original unpublished research results in all stages of development. Submissions should be sent to http://www.easychair.org/conferences/?conf=umbigdata2012 , in one of the forms below:

·         A regular paper for reporting and sharing experiences and results: long research paper (10-15 pages), short research paper (4-6 pages), applications and demo papers (2-4 pages).

·         A 1-page position paper that highlights the problems and difficulties encountered and articulate the strategic directions of research needed.

·         A data challenge paper that reports research results (max 5 pages) with real usage and context data in the following data sets or other data sets. Accepted submissions will be presented and a winner will be chosen.

·         http://www.appsforamsterdam.nl/databronnen

·         http://data.overheid.nl/package
Important Dates:
Paper submission deadline: May 13th, 2012
Notification of acceptance: June 04th, 2012
Camera-ready copy of accepted paper: June 18th, 2012
Workshop July 16/17
Organizing Committee
Doreen Cheng, Advanced Technology Lab, Samsung R&D Center, San Jose, CA, USA, [log in to unmask]<mailto:[log in to unmask]>
Lora Aroyo, VU University Amsterdam, Amsterdam, the Netherlands, [log in to unmask]<mailto:[log in to unmask]>
Deborah McGuinness, RPI, 110 8th Street, Winslow Building, Troy NY, 12180 USA, [log in to unmask]<mailto:[log in to unmask]>
Daniel Park, Samsung DMC R&D Center, Suwon, South Korea, [log in to unmask]<mailto:[log in to unmask]>
Program Committee
Fabian Abel, TU Delft Technology University, the Netherlands
Jie Bao, Samsung R&D Center, San Jose, CA, USA
Bettina Berendt, K.U. Leuven, Belgium
Darina Dicheva, Winston Salem University, USA
Dominikus Heckmann, German Artificial Intelligence Center, Saarbrücken, Germany
Siegfried Handschun, DERI, Ireland
Nicola Henze, Leibniz University Hannover, Germany
Alfred Kobsa, University of California, Irvine, CA, USA
Alexander Kroener, DFKI, Germany
Tsvi Kuflik, Information Systems Dept. Social Sciences, University of Haifa, Israel
Pasquale Lops, University of Bari, "Aldo Moro", Italy
Bamshad Mobasher, DePaul University, USA
Till Plumbaum, Universitat Berlin, Germany
Francesco Ricci, Free University of Bozen-Bolzano, Italy



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