Semantic Management of Middleware

By: Daniel Oberle

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Hardcover | 4 January 2006

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Hardcover
296 Pages

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23.39 x 15.6 x 1.75

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Current middleware solutions, e.g., application servers and Web services, are very complex software products that are hard to tame because of intricacies of distributed systems. Their functionalities have mostly been developed and managed with the help of administration tools and corresponding configuration files, recently in XML. Though this constitutes flexibility for developing and administrating a distributed application, the conceptual model underlying the different configurations is only implicit.

To remedy such problems, Semantic Management of Middleware contributes an ontology-based approach to support the development and administration of middleware-based applications. The ontology is an explicit conceptual model with formal logic-based semantics. Its descriptions may therefore be queried, may foresight required actions, or may be checked to avoid inconsistent system configurations.

This book builds a rigorous approach towards giving the declarative descriptions of components and services a well-defined meaning by specifying ontological foundations and by showing how such foundations may be realized in practical, up-and-running systems.

Industry Reviews

From the reviews:

"Middleware can largely ease the heterogeneity and increasing complexity of the distributed information systems. ... Realising this central issue, this book deals with the semantic aspect of middleware ... . The uniqueness of the book is the presentation of taxonomies of various ontologies ... . The book has addressed the important issues on weaving semantic web. This reader is useful to students, researchers and teachers to understand ontologies for middleware and to developers and administrators who like to apply semantics to middleware." (Pit. Pichappan, Journal of Digital Information Management, Vol. 4 (2), June, 2006)

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Databases Artificial Intelligence Computer Networking & Communications Networking Packages Computer Programming & Software Development Software Engineering Economics

Microeconomics Domestic Trade Graphical & Digital Media Applications Computer Hardware Network Hardware Information Technology General Issue

List of Figures	p. xiii
List of Tables	p. xv
Preface	p. xvii
Foreword	p. xxi
Acknowledgments	p. xxv
Fundamentals
Introduction	p. 3
Motivation	p. 3
Research Questions	p. 5
Contributions	p. 8
Middleware	p. 11
Middleware for Distributed Application Development	p. 12
Middleware for Enterprise Application Integration	p. 16
Middleware for B2B Application Integration	p. 17
Application Servers	p. 18
Web Services	p. 25
Summary	p. 31
Ontologies	p. 33
Definition	p. 34
What is a Conceptualization?	p. 35
What is an Ontology?	p. 37
A Suitable Representation Formalism	p. 41
Classification	p. 43
Classification according to Purpose	p. 45
Classification according to Expressiveness	p. 45
Classification according to Specificity	p. 46
The Role of Foundational Ontologies	p. 47
Ontological Choices	p. 50
Descriptive vs. Revisionary	p. 50
Multiplicative vs. Reductionist	p. 51
Possibilism vs. Actualism	p. 51
Endurantism vs. Perdurantism	p. 52
Extrinsic Properties	p. 52
Summary	p. 53
Towards Semantic Management	p. 55
Scenarios	p. 57
An Application Server for the Semantic Web	p. 57
Web Services in SmartWeb	p. 62
Use Cases	p. 65
Application Servers	p. 66
Web Services	p. 70
Summary	p. 75
Design of a Management Ontology
Analysis of Existing Ontologies	p. 79
OWL-S	p. 81
Initial Ontology of Software Components	p. 83
Problematic Aspects	p. 86
Conceptual Ambiguity	p. 87
Poor Axiomatization	p. 88
Loose Design	p. 89
Narrow Scope	p. 91
Summary	p. 93
The Appropriate Foundational Ontology	p. 95
Requirements for Ontological Choices	p. 96
Alternatives	p. 97
BFO	p. 98
DOLCE	p. 99
OCHRE	p. 101
OpenCyc	p. 103
SUMO	p. 104
Summary	p. 105
An Ontological Formalization of Software Components and Web Services	p. 107
Modelling Basis	p. 109
DOLCE	p. 109
Descriptions & Situations	p. 110
Ontology of Plans	p. 112
Ontology of Information Objects	p. 113
Core Software Ontology	p. 114
Software vs. Data	p. 115
API Description	p. 119
Semantic API Description	p. 121
Workflow Information	p. 122
Access Rights and Policies	p. 124
Core Ontology of Software Components	p. 127
Formalization of the Term "Software Component"	p. 128
Libraries and Licenses	p. 129
Component Profiles and Taxonomies	p. 131
Example	p. 133
Core Ontology of Web Services	p. 136
Formalization of the term "Web service"	p. 136
Service Profiles and Taxonomies	p. 137
Example	p. 138
Proof of Concept	p. 139
Meeting the Modelling Requirements	p. 139
Higher Quality	p. 141
Enabling Reuse	p. 145
Summary	p. 145
Realization of Semantic Management
Design of an Ontology-Based Application Server	p. 149
General Design Issues	p. 150
Possible Platforms	p. 150
Obtaining Semantic Descriptions	p. 152
How to Integrate the Inference Engine?	p. 154
Semantic Management of Software Components	p. 156
Requirements	p. 157
The Microkernel Design Pattern	p. 161
Integration of an Inference Engine	p. 162
Architecture	p. 163
Semantic Management of Web Services	p. 167
Summary	p. 169
Implementation	p. 171
The JBoss Application Server	p. 172
The Kaon Tool Suite	p. 174
Kaon Server	p. 177
Server Core	p. 178
Connectors	p. 181
Interceptors	p. 182
Functional Components	p. 182
Management Console	p. 183
Example	p. 183
Modelling the Ontology	p. 184
Definition of Rules	p. 187
Setting up the Portal	p. 188
Summary	p. 189
Applying the Management Ontology	p. 191
From Core to Domain	p. 192
MBeans	p. 193
Profiles	p. 194
From Reference to Application	p. 196
From Heavyweight to Lightweight	p. 199
The Kaon Language	p. 200
Adaptation of Definitions and Axioms	p. 202
Assessment	p. 211
Application Server Use Cases	p. 212
Web Services Use Cases	p. 215
Summary	p. 217
Finale
Related Work	p. 221
Enterprise Application Management	p. 222
Application Management Systems	p. 222
Application Management Schemas	p. 224
Model-Driven Architectures	p. 226
Web Services	p. 227
Semantic Web Services	p. 228
OWL-S	p. 229
METEOR-S	p. 230
WSMO	p. 233
IRS	p. 233
KDSWS	p. 234
Other Approaches	p. 234
Miscellaneous	p. 235
Software Reuse Systems	p. 235
DL IDL	p. 236
Microsoft SDM	p. 236
Integration of Software Specifications	p. 236
Other Ontologies	p. 237
Conclusion & Outlook	p. 239
Summary	p. 239
Contributions	p. 241
Open Issues	p. 242
Appendices	p. 245
Taxonomies	p. 245
References	p. 255
Index	p. 267
Table of Contents provided by Ingram. All Rights Reserved.

Semantic Management of Middleware

At a Glance

Hardcover

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