AIMS AND SCOPE

The PAKM Conference Series offers a communication forum and meeting
ground for practitioners and researchers. The conference focus is on
developing and deploying advanced business solutions for the management
of knowledge in organizations and other communities that can benefit from
its methods.

This year's conference we will pay particular attention to the innovations on
the interaction between Business, Computer Science, Information Systems,
and Library and Information Science.

PAKM is a forum for people to share their views, to exchange novel ideas,
to develop new insights, and to envision, propose and demonstrate new
kinds of solutions and new organizational methods and/or tools to
Knowledge Management problems.

Management in companies deals with many things: people, energy,
materials, etc. The management integrates them as a whole system and
organizes the flow between the parts efficiently. In some companies, the
same is done with knowledge. What methods are available and how well
this integration of knowledge is understood?

Libraries and universities are examples of organizations where knowledge
plays a major role within management. What methods are available to
integrate knowledge (e.g., curricula, expertise, centers of excellence,
programs) with people and other resources in libraries and universities?

The topics will cover relevant and applicable aspects of knowledge
management. We invite practitioners and researchers from all over the world
to submit papers. We are looking forward to a conference which will
address a wide spectrum of topics from a variety of perspectives.

We seek original contributions in the business and organization sciences,
cognitive science, library and information science, information systems and
computer science that represent a true advancement beyond the state-of-
the-art of Knowledge Management.

Business and organization sciences provide the overall framework for
developing a knowledge management approach with a focus on the
business aspects rather than on information technology aspects.

Computer science provides the tools needed to build the information
systems that are often required to make certain aspects of a knowledge
management solution work. Cognitive science helps to design knowledge
management solutions in line with the cognitive capabilities of the people
involved and optimally embedded in their work context.

Library and information science analyzes how to organize and understand
knowledge for the benefit of the users.

Below is a not exhaustive list of topics that will be considered:

• Building and maintaining knowledge inventories
  o knowledge directories
  o knowledge modeling
  o automatic creation of meta data
  o knowledge integration
• Collaboration and knowledge sharing
  o knowledge sharing communities
  o social software
  o knowledge sharing and collaboration platforms
  o integration of processes across organizational boundaries
• Capturing and securing knowledge
  o knowledge capturing within business processes
  o knowledge acquisition, lessons learned, debriefing
  o organizational memories
  o knowledge storage and representation
• Knowledge utilization
  o content-oriented retrieval
  o question answering
  o integration of knowledge and business processes
  o graphical user interfaces for retrieving and
  o visualizing knowledge
  o semantic web
• Developing new knowledge
  o innovation management
  o ontology management and development
  o communities of practice
• Knowledge Measurement and evaluation
  o evaluation of knowledge management systems
  o measuring the benefits of KM solutions
  o measuring the cost of KM solutions, knowledge access
  o measuring the benefits of knowledge access
  o proportions and relative cost of knowledge cycles
  o cost of missing knowledge
• Competitive intelligence
• How to store and retrieve shared knowledge
• Using digital libraries
• Collective intelligence and knowledge management
• Knowledge fusion
• Theoretical models for KM
• Experimental designs to test KM tasks and approaches

• Registration early student: USD 380 ,-
• Registration early non-student: USD 480 ,-
• Registration late student: USD 575 ,-
• Registration late non-student: USD 730 ,-