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Call for Papers I-KNOW 2013


13th International Conference on Knowledge Management and Knowledge 

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 

* Natural Language Analysis and Sentiment Detection

* Data and Information Retrieval (e.g. cross-language retrieval, 
interactive retrieval methods, multimedia and cross-modal information 

* 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, 

* 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

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

Dipl.-Ing. Dr.techn. Christoph Trattner BSc
Knowledge Management Institute and
Institute for Information Systems and Computer Media
Graz University of Technology
Inffeldgasse 16c, 8010 Graz, Austria
E-mail: [log in to unmask]
Tel: +43 316 873 5613        Fax: +43 316 873 5699

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