By Jeffrey T. Pollock
- New Paradigm for contemplating software integration and B2B difficulties
- Heightens the significance of conveying that means among structures
- Addresses circulate within the EAI house towards extra facts dealing with services
- Offers an answer for the multitude of managers disconnected with the newest applied sciences
- Leverages the technical advances made in advanced information integration over 15 years
- Shifts the focal point from know-how recommendations to info options
- Relies seriously at the use of useful examples, assistance, definitions, and soapbox excerpts in the course of the major physique of textual content
Chapter 1 Semantic Interoperability provides IT which means (pages 3–22):
Chapter 2 details Infrastructure matters and difficulties (pages 23–38):
Chapter three Promise of Frictionless details (pages 39–65):
Chapter four Foundations in facts 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 strength Case reviews (pages 259–304):
Chapter eleven Adoption techniques (pages 305–331):
Chapter 12 Tomorrow's Adaptive and Dynamic structures (pages 333–346):
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Extra resources for Adaptive Information: Improving Business through Semantic Interoperability, Grid Computing, and Enterprise Integration
But to really get competitive gains from information technology, businesses must also invest in technologies that make information more useful. In effect, this is an investment in information dominance over competitors. This goal can be difficult to justify to cash-strapped financial officers. A delicate balance is needed between more traditional technology investments (like hardware, desktops, servers, ERP systems) and newer investments (like semantic interoperability, ontology development, and modelcentric development).
The foundational elements of computing are still driven procedural behaviors that are codified by human programmers. This means that software will continue to answer the questions of how data gets processed and what it will do with the data— but it will not answer the question of why it is performing a given set of logic or why it should convert data this way instead of that way. Handling the question of why is crucial in computing because it gives the IT system the opportunity to automate some things on its own.
Carr, Nicholas, June 2003. Does It Matter Anymore? 5 Noting that the “data machines” of the past 50 years are limited to the core functions of “data storage, data processing, and data transport,” he builds a case that software will no longer be a source of competitive advantage in business. He is mostly right. That is, about current popular tools and capabilities. ” However, he misses the important point that software capabilities are a moving target—constantly evolving in response to changing business demands.
Adaptive Information: Improving Business through Semantic Interoperability, Grid Computing, and Enterprise Integration by Jeffrey T. Pollock