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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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