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ELSNET-List Message
| Subject: |
[ E-CFP ] CfP I-Know 2013 - 13th International Conference on Knowledge Management and Knowledge Computing |
| From: |
<michael.granitzer_(on)_yahoo.com> |
| Date received: |
03 Mar 2013 |
| Deadline: |
25 Mar 2013 |
| Start date: |
04 Sep 2013 |
==================================================================
Call for Papers I-KNOW 2013 13th International Conference on
Knowledge Management and Knowledge Computing 4-6 September 2013,
Graz, Austria http://www.i-know.at/ We are proud to present our
outstanding keynote speakers
- Tiit Paananen, Skype
- Ed Chi, Google
- Yves Raimond, BBC
- Aldo Gangemi, Italian National Research Council
==================================================================
Important Dates Full Paper Submissions (8 pages)
* Abstract Submission Deadline: March 25, 2013
* Paper Submission Deadline: April 1, 2013
* Notification of Acceptance: May 3, 2013
* Camera-Ready Paper: June 10, 2013 Poster & Demonstration
Submissions (4 pages)
* Submission Deadline: May 21, 2013
* Notification of Acceptance: June 18, 2013 I-KNOW proceedings
published by ACM ICPS
==================================================================
Synergies of Knowledge Disciplines The 13th International
Conference on Knowledge Management and Knowledge Computing
(I-KNOW 2013) will be held from September 4 to 6, 2013 at the
Messe Congress in Graz, Austria. I-KNOW is a top-tier
international conference in the areas of knowledge management
and knowledge computing. Since 2001, it has successfully
brought together leading researchers and developers from the
these communities and attracted annually over 500 international
attendees. The purpose of the conference is to provide a
crystallization point for different disciplines of knowledge
management (such as Business Science and the Social Sciences)
and knowledge computing (such as knowledge discovery, social
networks and context-aware computing). Renown researchers from
these knowledge disciplines meet to identify challenging
problems facing the development and introduction of future
knowledge systems, and to shape future research directions
through the publication of high quality, applied and
theoretical research findings. I-KNOW 2013 will continue the
successful tradition of the conference series and will
specifically provide interactive and innovative formats to
support the synergies of knowledge management and knowledge
computing fields. We encourage submissions of high quality
papers on all topics in the general areas of knowledge & data
analytics, social & ubiquitous computing, knowledge &
innovation management, and science 2.0. Based on successful
collaboration, I-KNOW 2013 will continue the tradition of
collocating with the I-SEMANTICS conference, the 9th
International Conference on Semantic Systems
(www.i-semantics.at).
==================================================================
Conference Topics Knowledge & Data Analytics I-KNOW 2013 seeks
for novel contributions in advancing the field of knowledge &
data analytics as well as in providing new means to utilize,
navigate and search large, heterogeneous data pools. We aim to
bridge data-centric and user-centric approaches and welcome
contributions from both ends of the spectrum. Besides new
algorithms and techniques, we are also interested on
applications in the wild, user-centric evaluations of
real-world applications as well as empirical studies. Topics of
interest include (but are not limited to): Knowledge Discovery
& Data Mining
* Big Data in Knowledge Discovery
* Data Mining in the Linked Data Cloud
* Text/Web/Social/User Behaviour Mining
* Unsupervised Machine Learning
* Supervised and Semi-Supervised Learning
* Deep Machine Learning
* Enterprise Retrieval
* Temporal Knowledge Discovery
* Data Structures, Frameworks, and Models underlying Knowledge
and Data Mining
* Natural Language Analysis and Sentiment Detection
* Data and Information Retrieval (e.g. cross-language retrieval,
interactive retrieval methods, multimedia and cross-modal
information retrieval)
* Data and Information Quality
* Knowledge Base Population and Information Extraction Visual
Analytics & Information Visualisation
* Visual Analytics and Intelligent User Interfaces for Data
Analytics
* Information Visualisation
* Scalability of Visual Analytics and Knowledge Discovery
Techniques
* Interactive Knowledge Discovery
* Visual Representations and Interaction Techniques
* Visualisation of Knowledge, Semantic Information and Linked
Data
* Visualisation of Search Results, Text and Multimedia Corpora
* Visualisation of Temporal, Spatial and Sensory Data
* Process and Workflow Visualisation
* Visual Support for Reasoning and Decision Making
* Discourse and Collaborative Visualisation
* Cognitive and Perceptual Factors in Visualization Social &
Ubiquitous Computing I-KNOW 2013 seeks for innovative
contributions in the fields of social and ubiquitous computing,
specifically with the focus on supporting to mobile knowledge
work. We aim at developing deeper insights into the mechanisms
of collaborations, communities, content quality, etc. - not
only based on user behaviour in virtual environments but also
in the real world. The currently open challenge is, to
technically deal with behaviour and usage data and to analyse
it in such a way as to benefit the individual in highly
distributed and mobile situations at work and in personal
tasks, such as in health care and crisis settings as well as in
community engagements and self-directed learning. Besides new
apps, methods, and architectures, we are also interested on
applications in the wild, user-centric evaluations of
real-world applications as well as conceptual overviews that
help us understand - or challenge our understanding of - the
impact of these technologies. Topics of interest include (but
are not limited to): Social Computing
* Social Media, Social Web, and Social Network Analysis
* Web 2.0, Future Internet, and Web Science
* Collaborative Knowledge Creation and Crowdsourcing
* Information Quality and Knowledge Maturing
* Community Evolution
* Social Information Seeking and Recommender Systems
* Social Search and Retrieval Systems
* Temporal and Spatial Analysis of Social and Information
Networks
* Social-Semantic-Content Networks and their Analysis
* Semantic Uplifting in Social Networks
* Spam, Misinformation and Malicious Activity Discovery in Social
Systems
* Social Gaming and Human Computing
* Privacy & Trust Ubiquitous Computing
* Mobile and Ubiquitous Data Management and Processing
* Bridging the Digital and Physical Worlds
* Sensors and Sensor Analytics
* Usage and Usage Data Analytics
* Mobile Social Networking and Mobile Web
* Mobile Work (requirements, characteristics, solutions...)
* Context-aware Systems and Applications
* Ubiquitous Computing Architectures and Infrastructures
* User Interaction and Usability on Mobile Devices
* Security and Privacy Aspects of (mobile) Sensing Applications
Knowledge Management in Industry & Science Like all major
societal challenges, knowledge management touches diverse
aspects of life and thus needs a multi-disciplinary approach
for finding solutions. We seek for novel contributions from
management science, social sciences, psychology and computer
science which address the challenges of managing knowledge in
increasingly distributed and mobile work settings as well as
turning knowledge into high impact innovations. We will examine
these topics within enterprise and the scientific settings.
Besides new theories, models and approaches, we are also
interested on applications in the wild, user-centric
evaluations of real-world applications as well as empirical
studies. Topics of interest include (but are not limited to):
Knowledge Management
* Enterprise 2.0 and Corporate Web 2.0
* Mobile Work and Performance Support
* Creativity and Knowledge Work
* Personal Information Management
* Innovative Business Models
* Open Innovation and Crowd Funding
* Innovation Process and Knowledge Maturing
* Knowledge Transfer and Experience Management
* Process-oriented Knowledge Management
* Increasing Efficiency and Measurement Approaches
* Convergence of Knowledge Management and Learning
* Skill and Competency Management
* Service-oriented Architectures and Knowledge Infrastructures
* Trust & Privacy Approaches Science 2.0
* New Publication and Research Processes
* Opportunities and Challenges for Researchers and Research
organizations
* New Indicator Systems to Measure Scientific Quality
* Awareness-support for Science 2.0 Activities
* New Paradigms for Scientific Communication
* New Feedback Mechanisms among Researchers and between Science
and Society
* Empirical Studies on the Use of Web 2.0 Tools for Science 2.0
* Marketplaces for Scientific Data and Publications
* Recommender Systems in Science 2.0
* Virtual Research Environments
* Digital Research Libraries
* Applications in and for Science 2.0
* Crowd-sourcing in Science
* Robust Methods for dealing with Noisy Crowd-sourced Data
* Data Schemes and Interoperability Formats
* Social Mining and Metadata Extraction in Academic Resources
* Metadata Quality and Quality Assessment
* Design and architecture of data sharing facilities
* Semantic Web Standards for Science 2.0
* Systems design accounting for standardized data sets
==================================================================
Conference Organizers General Chairs
* Stefanie Lindstaedt, Know-Center and Graz University of
Technology, Austria
* Michael Granitzer, University of Passau, Germany Program Chairs
Knowledge & Data Analytics
* Bernardo Magnini, FBK, Italy
* Jörn Kohlhammer, FHG IGD, Germany
* Roman Kern, Know-Center Graz, Austria
* Vedran Sabol, Know-Center Graz, Austria
* Wolfgang Kienreich, Know-Center Graz, Austria
* Christin Seifert, University of Passau, Germany Program Chairs
Social & Ubiquitous Computing
* Wolfgang Nejdl, University of Hannover and L3S, Germany
* Denis Helic, Graz University of Technology, Austria
* Viktoria Pammer, Know-Center and Graz University of Technology,
Austria
* Christoph Trattner, Know-Center Graz, Austria Program Chairs
Knowledge Management in Industry and Science
* Klaus Tochtermann, ZBW - Leibniz Information Center for
Economics, Germany
* Peter Kraker, Know-Center Graz, Austria EU-Track Chairs
* Nina Simon, Know-Center Graz, Austria
* Lyndon Nixon, STI2, Austria Poster & Demonstration Chairs
* Patrick Höfler, Know-Center Graz, Austria
* Jörg Simon, Know-Center Graz, Austria Local Organization &
Dissemination Chair
* Nina Simon, Know-Center Graz, Austria
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