Description

i-KNOW reflects the increasing importance and convergence of knowledge management and knowledge technologies and aims at bridging the gaps between the various communities and their technology fields. Now in its eleventh year, i-KNOW has a tradition of bringing together Europe´s leading researchers and practitioners involved in knowledge management. Attracting more than 500 international attendees, i-KNOW is the premier conference on knowledge management and knowledge technologies in Europe.

i-KNOW provides a perfect opportunity to stay abreast of the latest developments in these fields. The novelty and quality of the accepted contributions are ensured by a high-level program committee featuring international experts on a broad range of knowledge management topics. i-KNOW 2011 will be held concurrently with the I-SEMANTICS 2011- International Conference on Semantic Systems.
Topics

The i-KNOW conference covers 5 different tracks covering a range of knowledge management related topics.

Track I. Knowledge Management

Knowledge management has become an organizational imperative for all types of corporate and governmental organizations. A key objective is to apply knowledge which resides within an organization to achieve organization’s goals most efficiently and cost-effectively. To implement knowledge management in organizations, different aspects from different disciplines have to be taken into account. Topics include but are not limited to:
 

• Theories for Knowledge Management
• Concepts for Knowledge Management
• Models for Knowledge Management
• Innovative Approaches to Knowledge Management
• Evaluations and Use Case Studies of Knowledge Management

Track II. Knowledge Discovery

Knowledge Discovery aims at supporting search, visualization and analysis of complex knowledge spaces like the Web, corporate intranets, media etc. and thus providing knowledge in a format appropriate for human information processing. Crucial points herein are the identification of meaningful relationships between information entities, efficient user feedback, scalable algorithms as well as methods for increasing information and algorithmic quality. We are seeking for novel algorithmic and application oriented contributions along the following topics:

• Information Retrieval and Search Visualization
• Semantic Enhanced Knowledge Discovery
• Knowledge Discovery in the Future Internet
• Information Quality on the Web
• Knowledge Relationship Discovery and Statistical Relational Learning
• Large Scale Knowledge Discovery
• Text Mining & Semantic Enrichment

Track III. Knowledge Services

Knowledge Services aim at supporting knowledge work, individual workplace learning, community learning, and organizational learning – as well as the transitions between them. This support is typically provided via services which analyze the relationships between users and their behavior, content, and semantic structures. Increasingly, users employ mobile and distributed devices. This leads to new possibilities but also challenges for designing and implementing adequate knowledge services. Beyond application within organizations, such services can provide support for Science 2.0, knowledge development and maturing, innovation management etc. This track focuses on research in the following areas applied to personal and organizational knowledge management and to learning at work:
 

• User context detection and activity logging
• User profile modeling and maintenance
• Context-aware recommendation
• Collaborative knowledge construction and modeling
• Collaborative knowledge maturing
• Knowledge sharing and communication
•  

… which are based on Knowledge Technologies such as

• Web 2.0 and Future Internet
• Social Network Analysis
• Adaptive, context-aware systems
• Semantic technologies
• Mobile computing approaches
• Web-services, SOA, service orchestration
• knowledge mash-ups
• Linked-open data
• Trust & privacy approaches
•  

Track IV. Social Media

In contrast to traditional media, Social Media refers to a range of new media concepts that tap into social networks as a way of propagating and aggregating information. While recent research suggests that social networks play an important role in the spread of information, little is known about how network structures specifically influence information processing activities on the web. This track seeks submissions that focus on understanding and modeling social media applications and processes.
 

• 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
• Agent-based models of social media
• Models of emergent social media properties
• Cooperation and collaboration models
• Modeling social media users and their motivations and goals
• Architectural and framework models
• User modeling and behavioral models
• Social Media Engineering
•  

Track V. Enterprise 2.0 and Social Web

Web 2.0 has emerged as the new dynamic user-centered Web equipped with social features – it has empowered users to become the main creators of content. Driven by this fundamental change innovative enterprises strive to adopt applications and technologies from the Social Web to facilitate inter- and intra-organizational knowledge transfer. To fully exploit the huge potential of the Social Web for Knowledge Management, managers need to master the emerging field of tension between the fundamental principles from the Social Web, e.g. the self-organization of its users vs. the prevailing hierarchical structures in enterprises. This track focuses on experiments, evaluations and case-studies and not so much on the underlying technologies. Topics include but are not limited to:

• Enterprise 2.0
• Corporate Web 2.0
• Social Networking (Services) and the Enterprise
• Wikis, (Micro-)Blogs and the Enterprise
• Computer-Mediated Communication and Computer-Supported Collaborative Work with Social Media
• Communities and Social Media
• Knowledge Transfer, Sharing and Diffusion with Social Media
• Knowledge Management in the Future Internet of People, Content and Knowledge
• Knowledge Management and Business Model Innovation
• Web 2.0 and Viral Marketing

Important Dates

31 March 2011: Submission of the full papers
30 April 2011: Notification of acceptance
30 May 2011: Camera ready version
7 Sept.-9 Sept. 2011: i-KNOW 2011 Conference

Conference Chairs

Stefanie Lindstaedt, Know-Center and Graz University of Technology, Austria
Michael Granitzer, Know-Center and Graz University of Technology, Austria
 

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