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Call for Papers -
http://i-know.tugraz.at/i-science/call-for-papers

i-know 12 - 12th International Conference on Knowledge Management
and Knowledge Technologies , 5 to 7 September 2012, Graz, Austria

Submission Deadline: April 02 2012

Focusing on the Synergies of Knowledge Computing Disciplines
==================================================

i-KNOW is the premier conference series on Knowledge Management &
Knowledge Technologies in Europe. Founded in 2001, it annually
attracts over 500 international attendees. i-KNOW acts as an
incubator for innovation by bringing together relevant
disciplines and communities.

i-KNOW has developed into the crystallization point for different
disciplines of knowledge computing, such as machine learning,
semantic technologies, social networks, context-aware computing,
etc. Renown researchers from all these knowledge computing
disciplines meet to present and discuss their approaches and
explore novel ways of integrating them. This multitude of
approaches, all applied to the management of knowledge, accounts
for the highly innovative atmosphere of i-KNOW. This is further
strengthened by the I-SEMANTICS Conference which is being held
concurrently for 6 years already.

For 12 years now, i-KNOW brings together researchers,
practitioners, enterpreneurs, and technology developers in
Knowledge Management & Knowledge Technologies to address the
current challenges and advances in the field. With nearly 500f
participants comming from business or industry the i-KNOW offers
the unique setting for in-depth discussions between researchers
and practitioners.

Like all major societal challenges, knowledge management touches
diverse aspects of life and thus needs a multi-disciplinary
approach for finding solutions. i-KNOW addresses this by
including experts and researchers from Business Science and the
Social Sciences. This interdisciplinary environment offers the
opportunity to establish collaborations, strengthen links and
cross-fertilize core disciplines.

The i-KNOW conference series has the tradition of bringing
together Europe´s and US leading researchers with local
practitioners involved in Knowledge and Innovation Management.
Deliberately reaching out to the Americas, i-KNOW offers impulses
and insights from additional research communites which otherwise
would be left untapped.

i-KNOW 2012 will continue the successful tradition of the
conference series and will specifically provide interactive and
innovative formats to support the synergies of knowledge
computing fields.

Important Dates
============

         Submission Deadline: April 02, 2012  Notification of
        Acceptance: May 07, 2012  Camery Ready Version: June 04,
        2012 In addition to full and short papers, we also invite
        contributions for posters and demonstrations. Have a look
        at the Paper Submission page for more details.

Conference Topics
===============

From both research and innovative practice perspectives the
following topics of interest to the conference include, but are
not limited to:

Knowledge Management

         Theories, Concepts, and Models of Knowledge Management
         Relationship between Knowledge Management and
        Professional Learning  Innovation Management and
        innovative Business Models  Enterprise 2.0 and Corporate
        Web 2.0  Computer-Mediated Communication, Working and
        Learning with Social Media  Evaluation and Use Case
        Studies of Knowledge Management  Knowledge Management in
        the Future Internet  Viral Marketing Knowledge
        Technologies

         Social Media, Social Web, and Social Network Analysis 
        Web 2.0, Future Internet, and Web Science  Semantic
        Technologies  Linked (Open) Data  Artificial
        Intelligence  Rule-based Systems  (Knowledge) Service
        Infrastructures and Web Services  Cloud Computing 
        Adaptive, context-aware systems  Mobile computing
        approaches  Trust & privacy approaches Knowledge Context

         Capturing usage data and context data  Sensor-based
        context capture  Analyses of user context data: User
        modelling, both theoretical and technical contributions,
        User model maintenance, Statistical and machine-learning
        analyses  Privacy and security, both technical and
        user-interaction issues  Context-aware systems 
        Context-aware recommender systems  Context-based
        adaptive systems  User-adaptive systems  User
        Interaction with context-aware systems  Applications,
        especially: TEL - User Context in Technology Enhanced
        Learning, PIM - User Context in Personal Information
        Management, CSCW - User Context in Computer-Supported
        Cooperative Work

Knowledge Evolution

         Models/Theories/Concepts of Collaborative Knowledge
        Creation and Evolution, e.g. Coevolution Model,
        Collaborative knowledge construction and modeling,
        Knowledge Maturing  Models of emergent social media
        properties, such as Models of social media users and
        their motivations and goals, Models of propagation and
        influence in twitter, blogs and social tagging systems,
        Models of expertise and trust in twitter, wikis,
        newsgroups, question and answering systems  Tools and
        Methods that support collaborative knowledge
        creation/evolution of knowledge  Empirical Studies on
        collaborative knowledge creation, sharing, communication
        etc. within organisations and communities of practice 
        Ontology Evolution  Information Quality  Research
        Methodology: Social Science Research Methods, Inferential
        Statistics Knowledge Discovery

         Information retrieval and search  Multimedia and
        cross-modal retrieval  Cross-language retrieval 
        Knowledge discovery on unstructured and multimedia data 
        Semantic-enhanced knowledge discovery  Knowledge
        discovery in the Future Internet  Information quality on
        the Web  Information diffusion and reuse  Knowledge
        relationship discovery and statistical relational
        learning  Large Scale Knowledge Discovery  Text mining
        and semantic enrichment  Natural language processing 
        Scalable machine learning methods  Topic detection and
        tracking  Data structures, frameworks, and models
        underlying knowledge discovery data mining

i-KNOW 2012 Special Tracks
======================

In addition to the topics listed above, this years conference
offers the opportunity to contribute to two Special Tracks which
target the topics of Visual Analytics and Science 2.0. Both
Special Tracks will take place on the first conference day
(September 5, 2012) and will each feature a whole day of
scientific advances, in-depth analysis, and application of the
topic in focus.

TAVA '12 - Special Track on Theory and Applications of Visual
Analytics

For the list of possible topics for the TAVA special track,
please refer directly to the TAVA Call for Papers.

Science 2.0 Special Track

For the list of possible topics for the Science 2.0 special
track, please refer directly to the Science 2.0 Call for Papers.

=================================================
Dr. Michael Granitzer Know-Center Graz, http://www.know-center.at
Graz University of Technology, http://kmi.tugraz.at Twitter:
http://twitter.com/#!/mgrani Skype: dagrani

Tel: +43 316 873 9263 Fax: +43 316 873-109263 Mobile: +43 664 963
2241

Personal Details: http://member.acm.org/~mgranitzer
mgranitzer_(at)_acm.org
=================================================

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