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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: 19 Dec 2012
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

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


Important Dates

Full Paper Submissions
* 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
* Submission Deadline: May 21, 2013
* Notification of Acceptance: June 18, 2013


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
* Information Visualisation
* Scalability of Visual Analytics and Knowledge Discovery
* Interactive Knowledge Discovery
* Visual Representations and Interaction Techniques
* Visualisation of Knowledge, Semantic Information and Linked
* 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
* Social-Semantic-Content Networks and their Analysis
* Semantic Uplifting in Social Networks
* Spam, Misinformation and Malicious Activity Discovery in Social
* 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
* 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,
* 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

Workshop 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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