The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind applicational development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the inaugural issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of journal versions of talks invited to the DEXA 2009 conference and further invited contributions by well-known scientists in the field. Therefore, the content of this issue covers a wide range of different topics in the area of the title of this new journal. Data Management, Knowledge Discovery, And Knowledge Processing Are Core And Hot Topics In Computer Science. They Are Widely Accepted As Enabling Technologies For Modern Enterprises, Enhancing Their Performance And Their Decision Making Processes. Since The 1990s The Internet Has Been The Outstanding Driving Force For Application Development In All Domains. An Increase In The Demand For Resource Sharing (e. G. , Computing Resources, S- Vices, Metadata, Data Sources) Across Different Sites Connected Through Networks Has Led To An Evolvement Of Data- And Knowledge-management Systems From Centralized Systems To Decentralized Systems Enabling Large-scale Distributed Applications Prov- Ing High Scalability. Current Decentralized Systems Still Focus On Data And Knowledge As Their Main Resource Characterized By: Heterogeneity Of Nodes, Data, And Knowledge Autonomy Of Data And Knowledge Sources And Services Large-scale Data Volumes, High Numbers Of Data Sources, Users, Computing Resources Dynamicity Of Nodes These Characteristics Recognize: (i) Limitations Of Methods And Techniques Developed For Centralized Systems (ii) Requirements To Extend Or Design New Approaches And Methods Enhancing Efficiency, Dynamicity, And Scalability (iii) Development Of Large Scale, Experimental Platforms And Relevant Benchmarks To Evaluate And Validate Scaling Feasibility Of These Systems Relies Basically On P2p (peer-to-peer) Techniques And Agent Systems Supporting With Scaling And Decentralized Control. Synergy Between Grids, P2p Systems And Agent Technologies Is The Key To Data- And Knowledge-centered Systems In Large-scale Environments. Front Matter....Pages - Modeling and Management of Information Supporting Functional Dimension of Collaborative Networks....Pages 1-37 A Universal Metamodel and Its Dictionary....Pages 38-62 Data Mining Using Graphics Processing Units....Pages 63-90 Context-Aware Data and IT Services Collaboration in E-Business....Pages 91-115 Facilitating Controlled Tests of Website Design Changes Using Aspect-Oriented Software Development and Software Product Lines....Pages 116-135 Frontiers of Structured Business Process Modeling....Pages 136-155 Information Systems for Federated Biobanks....Pages 156-190 Exploring Trust, Security and Privacy in Digital Business....Pages 191-210 Evolution of Query Optimization Methods....Pages 211-242 Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems....Pages 243-266 Self-Adaptation for Robustness and Cooperation in Holonic Multi-Agent Systems....Pages 267-288 Context Oriented Information Integration....Pages 289-326 Data Sharing in DHT Based P2P Systems....Pages 327-352 Reverse k Nearest Neighbor and Reverse Farthest Neighbor Search on Spatial Networks....Pages 353-372 Back Matter....Pages -
