Smart Information and Knowledge Management: Advances, Challenges, and Critical Issues

by Edward Szczerbicki (Editor)

Overview

New approaches are needed that could move us towards developing effective applicable intelligent systems for problem solving and decision making, One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 14 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Product Details

ISBN-13:	9783642045837
Publisher:	Springer Berlin Heidelberg
Publication date:	12/17/2009
Series:	Studies in Computational Intelligence , #260
Edition description:	2010
Pages:	339
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Immuno-inspired Knowledge Management for Ad Hoc Wireless Networks.- Immune Decomposition and Decomposability Analysis of Complex Design Problems with a Graph Theoretic Complexity Measure.- Towards a Formal Model of Knowledge Sharing in Complex Systems.- Influence of the Working Strategy on A-Team Performance.- Incremental Declarative Process Mining.- A Survey on Recommender Systems for News Data.- Negotiation Strategies with Incomplete Information and Social and Cognitive System for Intelligent Human-Agent Interaction.- Intelligent Knowledge-Based Model for IT Support Organization Evolution.- Modeling Context for Digital Preservation.- UML2SQL—A Tool for Model-Driven Development of Data Access Layer.- Fuzzy Motivations in Behavior Based Agents.- Designing Optimal Operational-Point Trajectories Using an Intelligent Sub-strategy Agent-Based Approach.- An Ontology-Based System for Knowledge Management and Learning in Neuropediatric Physiotherapy.- Mining Causal Relationships in Multidimensional Time Series.