Semantic Interoperability Issues, Solutions, Challenges (River Publishers' Series in Information Science and Technology)

Semantic technologies are experimenting with an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under the assumption that any system is part of a global ecosystem known as the Semantic Web.

The Semantic Web would be an evolving extension of current Web model (normally referred as Syntactic Web) that introduces a semantic layer in which semantics, or the meaning of information, are formally defined.

Semantics should then integrate web-centric standard information infrastructures, improving several aspects of interaction among heterogeneous systems. This is because common interoperability models are progressively becoming obsolete, if compared with the intrinsic complexity, and are always a more distributed focus that feature modern systems. For example, the basic interoperability model, that assumes the interchange of messages among systems without any interpretation, is simple but effective only in the context of close environments. Additionally, more advanced models, such as the functional interoperability model that integrates basic interoperability models with the ability to interpret data context under the assumption of a shared schema for data fields accessing, appears unable to provide a full sustainable technologic support for open systems.

The Semantic Interoperability model would improve common interoperability models, introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts.

In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but is implicitly resident in the knowledge model. In other words, schemas contain information and the "code" to interpretate it.