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Semantic Interoperability of Ambient Intelligent Medical Devices and e-Health Systems

von Dr. Safdar Ali

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[1.] Saa/Fragment 056 01 - Diskussion
Zuletzt bearbeitet: 2015-05-16 20:09:53 Hindemith
Fragment, Gesichtet, SMWFragment, Saa, Schutzlevel sysop, Vazquez 2007, Verschleierung

Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 56, Zeilen: 1-24
Quelle: Vazquez 2007
Seite(n): 61, 62, Zeilen: 61: 6 ff.; 62: 11 ff.
Another strange mixture is related to the communication model, where Gaia uses CORBA as distributed computing architecture instead of the Web-based model.

The following sections provide analysis of Gaia against our defined evaluation criteria, and the conclusion is summarized in Table 3.5.

  • Decentralization: The prerequisite of deployment of three main components in the environment leads towards a centralized architecture in Gaia. Low.
  • Lightness: Some elements in the architecture are difficult to migrate to resource-constrained devices, such as the Context History Service or the Ontology Server. The Gaia architecture does not seem to be deployed on embedded devices, but in desktop computers. Low.
  • Standards Adherence: The standards and recommendation, i.e. CORBA and OWL are honored. High.
  • Technological Consistency: The technological evolution during the Gaia project resulted in lot of changes as new technologies were adopted, which created a strange mixture in the final outcome. The OWL is combined with predicate logics, instead of shifting to RDF. CORBA is applied as distributed computing architecture instead of newer more lightweight web-based communication models that would make the Semantic Web fit better. Low.
  • Reasoning Capability: The application of ontologies, rules, probabilistic logic, fuzzy logic and Bayesian networks in order to perform all sorts of reasoning about context information, promotes a very high degree of intelligence in Gaia. Very High.
  • Context Awareness: The integration of rules and confidence values contribute to situation identification and subsequent adaptation. High.

Table 3.5: Analysis of Gaia against the evaluation criteria

Saa 056a diss.png

Another strange mixture is related to the communication model. Gaia uses CORBA as distributed computing architecture, instead of the web model. [...]

An analysis of Gaia against the evaluation criteria leads to the following results:

Decentralisation: the requirement about a previous three-elements deployment in the environment contributes to a centralised architecture in Gaia. Low.

Reasonability: the application of ontologies, rules, probabilistic logic, fuzzy logic and Bayesian networks in order to perform all sorts of reasoning about context information, promotes a very high degree of intelligence in Gaia. Very High.

Context-awareness: the integration of rules and confidence values contribute to situation identification and subsequent adaptation. High.

Technological Consistency: technological evolution during the Gaia project, resulting in changes as new technologies were adopted, has created a strange mixture in the final outcome. OWL is combined with predicate logics, instead of shifting to RDF. CORBA is applied as distributed computing architecture instead of newer more lightweight web-based communication models that would make the Semantic Web fit better. [...] Low.

Standards Adherence: standards and recommendations such as CORBA and OWL are honoured. High.

[Seite 62]

Lightness: some elements in the architecture are difficult to migrate to resource-constrained devices, such as the Context History Service or the Ontology Server. The Gaia architecture does not seem to be intended for deployment in embedded devices, but in full computers. Low.

Saa 056a source.png

Table 2.5: Analysis of Gaia against the evaluation criteria.

2.6 Semantic

Anmerkungen

Ein Verweis auf die Quelle fehlt. Auch die "analysis of Gaia against our defined evaluation criteria" stammt aus der Quelle.

Sichter
(Hindemith), SleepyHollow02


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