By Jeffrey T. Pollock
- New Paradigm for contemplating software integration and B2B difficulties
- Heightens the significance of conveying which means among structures
- Addresses circulate within the EAI area towards extra facts dealing with features
- Offers an answer for the multitude of managers disconnected with the newest applied sciences
- Leverages the technical advances made in complicated information integration over 15 years
- Shifts the point of interest from know-how suggestions to details strategies
- Relies seriously at the use of sensible examples, tips, definitions, and soapbox excerpts through the major physique of textual content
Chapter 1 Semantic Interoperability offers IT which means (pages 3–22):
Chapter 2 info Infrastructure concerns and difficulties (pages 23–38):
Chapter three Promise of Frictionless info (pages 39–65):
Chapter four Foundations in information Semantics (pages 69–98):
Chapter five Semantic clash answer styles (pages 99–125):
Chapter 6 Metadata Archetypes (pages 127–144):
Chapter 7 Ontology layout styles (pages 145–194):
Chapter eight Multimodal Interoperability structure (pages 195–221):
Chapter nine Infrastructure and E?Business styles (pages 223–255):
Chapter 10 power Case experiences (pages 259–304):
Chapter eleven Adoption ideas (pages 305–331):
Chapter 12 Tomorrow's Adaptive and Dynamic structures (pages 333–346):
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Additional info for Adaptive Information: Improving Business through Semantic Interoperability, Grid Computing, and Enterprise Integration
It is typically the combination of technologies that creates the large-amplitude waves that set off a host of other advances. These advances come not only within technology but also in technical development with the advent of new design and engineering processes; in business with the development of new business models and new products and services; and—when technology touches the consumer—in social dynamics and interactions. Adaptive Information, by Jeffrey T. Pollock and Ralph Hodgson ISBN 0-471-48854-2 Copyright © 2004 John Wiley & Sons, Inc.
From work on the Semantic Web to emerging database structures, the concepts underlying the use of semantics in digital systems are having an immense impact on businesses industry wide. Definition: Semantic Interoperability Semantic interoperability is a dynamic enterprise capability derived from the application of special software technologies (such as reasoners, inference engines, ontologies, and models) that infer, relate, interpret, and classify the implicit meanings of digital content without human involvement—which in turn drive adaptive business processes, enterprise knowledge, business rules, and software application interoperability.
Given a parts inventory system for the same shop floor and the same parts, fifty different data modelers would model it in fifty different ways. The modeler’s own background, combined with his assumed understanding of the organization, results in differences with the models. Although many patterns for good data modeling are understood, even the smallest of subtle differences in the models can result in absolute incompatibility among them. Even with packaged applications, culture and folklore of the company influence how they are used.