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A. Henaien et al.
operation has poorly affect our ontology since, it is only linking class with the
same name which are not many in the three ontologies. The outcome of this
operation a set of equivalent axioms defining equivalence between components
having the same name as the entity Person. Mapping: we are using FOAF to
present the personal profile of users. However, the ontology ICNP has an entity
called Individual presenting the health profile of a user as height, weight. So, a
merging operation has been performed between the entities FOAF: person and
ICNP: individual. Extending: The entity Platform from SSN gathers all the
entities as sensors, actuators, other platforms hosted in the same platform. We
created the property has Platform to link each user to his sensors.
6 Knowledge and Reasoning Engine
The knowledge component is defining: general medicine domain and context data
using a set of semantic rules SWRL [14] in an abstract manner. So, the semantic
rules based knowledge engine will be basically applying such medical knowledge
to prevent and detect emergency cases. However, the reasoning techniques will
be able to learn dynamically from the previous facts, i.e. previous applied rules,
and provide new SWRL rules. The proposed system will allow a self-learning
about new relations instances of cause & effect relations between data. Causes
are the health situation represented by a set of signs and symptoms. Effects are
the medical situation of a patient, viz, emergency case, disease, diagnosis, etc.
Fig. 3. Ontology overview
A. Henaien et al.
operation has poorly affect our ontology since, it is only linking class with the
same name which are not many in the three ontologies. The outcome of this
operation a set of equivalent axioms defining equivalence between components
having the same name as the entity Person. Mapping: we are using FOAF to
present the personal profile of users. However, the ontology ICNP has an entity
called Individual presenting the health profile of a user as height, weight. So, a
merging operation has been performed between the entities FOAF: person and
ICNP: individual. Extending: The entity Platform from SSN gathers all the
entities as sensors, actuators, other platforms hosted in the same platform. We
created the property has Platform to link each user to his sensors.
6 Knowledge and Reasoning Engine
The knowledge component is defining: general medicine domain and context data
using a set of semantic rules SWRL [14] in an abstract manner. So, the semantic
rules based knowledge engine will be basically applying such medical knowledge
to prevent and detect emergency cases. However, the reasoning techniques will
be able to learn dynamically from the previous facts, i.e. previous applied rules,
and provide new SWRL rules. The proposed system will allow a self-learning
about new relations instances of cause & effect relations between data. Causes
are the health situation represented by a set of signs and symptoms. Effects are
the medical situation of a patient, viz, emergency case, disease, diagnosis, etc.
Fig. 3. Ontology overview