Transactions on Large Scale Data and Knowledge Centered Systems XXXIX Special Issue on Database and Expert Systems Applications 1st edition by Abdelkader Hameurlain, Roland Wagner, Djamal Benslimane, Ernesto Damiani, William Grosky 3642341793 9783642341793

Transactions on Large Scale Data and Knowledge Centered Systems XXXIX Special Issue on Database and Expert Systems Applications 1st edition by Abdelkader Hameurlain, Roland Wagner, Djamal Benslimane, Ernesto Damiani, William I. Grosky – Ebook PDF Instant Download/DeliveryISBN:  3642341793, 9783642341793 

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ISBN-10 :  3642341793 

ISBN-13 :  9783642341793

Author:  Abdelkader Hameurlain, Roland Wagner, Djamal Benslimane, Ernesto Damiani, William I. Grosky 

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 application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution 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 sixth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight extended and revised versions of papers selected from those presented at DEXA 2011. Topics covered include skyline queries, probabilistic logics and reasoning, theory of conceptual modeling, prediction in networks of moving objects, validation of XML integrity constraints, management of loosely structured multi-dimensional data, data discovery in the presence of annotations, and quality ranking for Web articles.

Transactions on Large Scale Data and Knowledge Centered Systems XXXIX Special Issue on Database and Expert Systems Applications 1st Table of contents:

1. Combination Skyline Queries
2. Introduction
3. Related Work
4. Preliminaries
5. Problem Definition
6. Baseline Algorithm
7. Object-Selecting Pattern and Basic PBP Algorithm
8. Object-Selecting Pattern
9. Basic PBP Algorithm
10. Optimizations of PBP Algorithm
11. Pattern-Pattern Pruning
12. Pattern-Combination Pruning
13. Pattern Expansion Reduction
14. PBP Algorithm
15. Variations of Combination Skyline
16. Incremental Combination Skyline
17. Constrained Combination Skyline
18. Experiments
19. Experimental Setup
20. Experiments on Synthetic Datasets
21. Comparison with the BBS Algorithm.
22. The Effect of Data Distribution.
23. The Effect of Cardinality.
24. The Effect of Dimensionality.
25. The Effect of R-Tree Fanout.
26. Experiments on Real Datasets
27. Conclusion and Future Work
28. References
29. Comparing and Evaluating Approaches to Probabilistic Reasoning: Theory, Implementation, and Applicat
30. Introduction
31. Probabilistic Knowledge Representation
32. Propositional Approaches
33. Bayesian Logic Programs
34. Markov Logic Networks
35. Relational Probabilistic Conditional Logic
36. Evaluation and Comparison Criteria
37. Language Aspects
38. Strict and Propositional Knowledge
39. Individuals and Universes
40. Implementations for Relational Probabilistic Knowledge Representation
41. The KReator System
42. The ProbCog System
43. Related Systems
44. Applications
45. Knowledge Processing with the MEcore System
46. Diagnosis of Lung Cancer
47. Predicting Allergic Diseases of Children
48. Conclusions and Future Work
49. References
50. The Science and Art of Conceptual Modelling
51. The Triptychon of Model as an Artifact, Modelling as an Activity and Modelling as an Art and Science
52. Three Guiding Concerns during Conceptual Modelling
53. Implications for a Theory of Conceptual Modelling
54. Differences between `Model’, `To Model’ and `Modelling’
55. The Simultaneity of Art, Culture, Technology and Techniques in Modelling
56. Orientation of This Paper
57. The World of Models
58. The Conception of the Model
59. The Model as a Physical or Virtual Artifact
60. The Purpose Dimension
61. The Language Dimension
62. The Context Dimensions
63. The World of Modelling Activities
64. Workflows Applied in the Model Development and Deployment Process
65. Conceptual Modelling Activities Governed by Its Purpose
66. Modelling Acts
67. The Theory of Conceptual Models and Conceptual Modelling
68. Conceptual Modelling: Modelling Enhanced by Concepts
69. Conceptual Models
70. Towards a Theory of Model Activities
71. Modelling of Information Systems as Engineering
72. Models Serving Both as a Description of an Application (Domain and Problem) and as a Prescription fo
73. The Construction Workflow Based on Information Systems Models
74. Modelling by Generalising Engineering Approaches
75. Modelling of Information Systems as a Science
76. Properties of Activities To Model
77. Towards Modelling Principles
78. The Design Science Approach
79. Reasoning Support for Modelling
80. The Model of a Model
81. Model Fitness
82. Observations for Information Systems Model Engineering
83. Techniques for Modelling of Information Systems
84. Separation and Decomposition of the Workflows
85. Maieutics for Mastering Iterations
86. Management and Support for Sub-workflows
87. Duties and the Task Spectrum in Conceptual Modelling
88. CMM and SPICE for Conceptual Modelling
89. The Duty Portfolio of Modelling
90. Conclusion
91. References
92. Predictive Line Queries for Traffic Prediction
93. Introduction
94. Related Work
95. Indexing Moving Objects
96. Querying Moving Objects
97. The RD-Tree
98. The Index Structure
99. Insertion and Deletion in the RD-tree
100. Predictive Line Queries
101. Query Definition
102. Basic Algorithm
103. Enhanced Algorithm with Early-Destination-Pruning Heuristic
104. Comprehensive Algorithm
105. Query Cost Analysis
106. Performance Study
107. Effect of the Number of Moving Objects
108. Effect of the Predictive Time Length
109. Effect of the Road Topology
110. Update Cost
111. Conclusion and Future Work
112. References
113. A DHT-Based System for the Management of Loosely Structured, Multidimensional Data
114. Introduction
115. Overview of DHT Overlays
116. LinkedPeers System Description
117. Notation and Definitions
118. Data Insertion
119. Query Processing
120. Exact Match Queries
121. Flood Queries
122. A Query-Driven Approach for Partial Materialization
123. Indexed Queries
124. Adaptive Query-Driven Re-indexing
125. Use Case: Indexing and Searching Web Data
126. Experimental Results
127. Simulation Setup
128. Performance under Different Number of Dimensions and Levels
129. Query Resolution for Different Types of Datasets
130. Precision for Skewed Workloads
131. Testing against Partial Materialization
132. Cost of the Various Types of Query Resolution
133. Performance for Dataset of the APB Benchmark
134. Performance Evaluation for Web Data
135. Related Work
136. Conclusions
137. References
138. A Grammarware for the Incremental Validation of Integrity Constraints on XML Documents under Multipl
139. Introduction
140. Preliminaries
141. XML Integrity Constraints
142. Validation from Scratch: Attribute Grammar Approach
143. Finite State Automata for Integrity Constraints
144. Attribute Grammar for Validation
145. Incremental Validation
146. Updates and Multiple Updates
147. Basis for Incremental Validation
148. Algorithms for Incremental Validation
149. A Case Study: Insertion and Deletion for XFD
150. Performance of Our Approach
151. Conclusions
152. References
153. Database Support for Enabling Data-Discovery Queries over Semantically-Annotated Observational Data
154. Introduction
155. Semantic Annotation and Discovery Framework
156. Semantic Annotation
157. Data Discovery Queries
158. Approaches for Evaluating Data Discovery Queries
159. Query Evaluation over In-place Database
160. Query Evaluation over Materialized Database
161. Evaluating Complex Discovery Queries
162. Experimental Evaluation
163. Materialize Database
164. Querying Databases
165. Summary of Experimental Results
166. Related Work
167. Conclusion
168. References
169. Probabilistically Ranking Web Article Quality Based on Evolution Patterns
170. Introduction
171. Related Work
172. Problem Setting and Outline of LEP Approach
173. Quality Assessment by Learning Evolution Patterns
174. Preprocessing
175. Learning Quality Corpora for Each Quality Class
176. Quality Class Representation and Article Quality Ranking
177. Experimental Evaluation
178. Data Setting
179. Evaluation and Discussion

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