This architecture will also play a significant role in streamlining mergers
and acquisitions, by linking previously incompatible systems.
Despite the aforementioned trends, users and professionals have high expectations
towards software applications and enterprise application integration. They want
to access the content they need, while this content must be accurate and free of
redundancy. So, the enterprise applications must be intuitive and easy to use; reus-
Bouras, Gouvas, and Mentzas
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able and extendable; implemented in a short and inexpensive way; and within the
current information technology (IT) legacy environment. Enterprise applications
and information systems also need to support a more general notion that involves
relating the content and representation of information resources to entities and
concepts in the real world.
This need imposes the use and interpretation of semantics in EAI. Semantic interoperability
will support high-level, context-sensitive, information requests over
heterogeneous information resources, heterogeneous enterprise applications, hiding
systems, syntax, and structural heterogeneity.
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