Practical Aspects of Knowledge Management

The biennial PAKM Conference Series o?ers a communication platform and meeting ground for practitioners and researchers involved in developing and deploying advanced business solutions for the management of knowledge in - ganizations. PAKM is a forum for people to share their views, exchange ideas, develop new insights, and envision completely new kinds of knowledge mana- ment solutions. PAKM2008,the7thInternationalConferenceonPracticalAspectsofKno- edge Management, was held in Yokohama, Japan, for the ?rst time. Although all past PAKM conferences were held in Europe (Basel and Vienna), the PAKM Steering Committee decided two yearsago that the PAKM conferenceshould be on tour: it should be organized by di?erent people and be hosted in di?erent places all over the world. For this year's conference we received 62 submissions from 23 countries and 3 reviewers were assigned to one paper from the members of the Program C- mittee and the additional reviewers. Thus 23 good papers were selected. They cover a great variety of approaches to knowledge management, which tackle the topic from many di?erent angles. It is this very diversity that makes PAKM unique, while at the same time focusing on the one issue of managing knowledge within organizations. Many people were involved in setting up PAKM 2008. We would like to express our warm thanks to everybody who contributed to making it a success.

Klappentext

This book constitutes the refereed proceedings of the 7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008, held in Yokohama, Japan, in November 2008.

The 23 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 62 submissions. All aspects of knowledge management and their role in next-generation business solutions are addressed in perspective to business and organisation sciences, cognitive science, and computer science. The papers are organized in topical sections on knowledge sharing, collaboration platforms, content-oriented retrieval, knowledge acquisition, knowledge management solutions, knowledge mining from data, text and the Web, ontology, and knowledge utilization.

Inhalt
Invited Papers.- Knowledge Exploratory for Service Management and Innovation.- From Corporate Memory to Corporate Knowledge.- Knowledge Sharing.- Behavior and Social Influence in Knowledge Sharing: Intention Formation and the Moderating Role of Knowledge Type.- A Lightweight Approach for Knowledge Sharing in Distributed Software Teams.- Collaboration-Oriented Knowledge Management Using Interaction Patterns.- Collaboration Platforms.- The Right Expert at the Right Time and Place.- Semantic and Event-Based Approach for Link Prediction.- Social Semantic Bookmarking.- Content-Oriented Retrieval.- Closing Information Gaps with Inverse Search.- Representing and Retrieving Knowledge Artifacts.- Knowledge Acquisition.- Extracting Advantage Phrases That Hint at a New Technology's Potentials.- Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns.- Context-Based Text Mining for Insights in Long Documents.- Knowledge Management Solutions.- A Knowledge Management Approach for Structural Capital.- Developing a Reference Method for Knowledge Auditing.- An Empirical Study on the Correlation between Knowledge Management Level and Efficiency in Ceramic Tile Industry.- Knowledge Mining from Data, Text and the Web.- Web-Based Knowledge Database Construction Method for Supporting Design.- Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features.- Finding Functional Groups of Objective Rule Evaluation Indices Using PCA.- Ontology.- Organizational Knowledge Transfer of Intelligence Skill Using Ontologies and a Rule-Based System.- Ontology Based Object Categorization for Robots.- Ontology-Based Expertise Finding.- Knowledge Utilization.- Design for Learning and Teaching: A Knowledge-Based Approach to Design Products.- Towards Kiga-kikuServices on Speculative Computation.- Context Model Based CF Using HMM for Improved Recommendation.