Military Communications and Information Technology: A Trusted ...

248 Military Communications and Information Technology...
soapenv:Envelope xmlns:soapenv=”http://schemas.xmlsoap.org/soap/
envelope/” xmlns:ns=”http://my.org/ns/”>
CarCollision
YES
roadblock
Figure 6. Sample InsigmaEventOntology request sent by CM
B. Rules
In order to extend a domain knowledge about additional semantic relations
between OWL classes we defined several SWRL rules. SWRL [13] language is used to
enhance expression of OWL language. It is based on a combination of the OWL DL
and OWL Lite sublanguages of the OWL Web Ontology Language with the Unary/
Binary Datalog RuleML sublanguages of the Rule Markup Language. SWRL enables
extending the set of OWL axioms to include rules.
SWRL rules are of the form of an implication between an antecedent (body) and
consequent (head). The intended meaning can be read as: whenever the conditions
specified in the antecedent hold, then the conditions specified in the consequent
must also hold. Both the antecedent and consequent consist of zero or more atoms.
An empty antecedent is treated as trivially true (i.e. satisfied by every interpretation),
so the consequent must also be satisfied by every interpretation; an empty
consequent is treated as trivially false (i.e. not satisfied by any interpretation),
so the antecedent must also not be satisfied by any interpretation.
Atoms in these rules can be of the form of simple assertions: C(x), P(x, y),
or functions: sameAs(x, y) or differentFrom(x, y), where C is an OWL description, P is
an OWL property, and x, y are either variables, OWL individuals or OWL data values.
SWRL rules can be extended by using some built-in functions which are
the limitations expressing in SWRLB (Semantic Web Rule Language Built-in)
language. These limitations may be put into values occurrence in rules and express
relationships between them, for example x>y.
When defining the IEO model we considered different approaches. They all
resulted in different possibilities in defining and automatically processing rules.
The best choice for us was to define three classes as enumerated ones with strictly
defined set of individuals: Result describes results of event, Threat which define
dangers and Actions describes set of public safety services organization. These
classes are used by SWRL rules that enhance semantic relationships in IEO. Some
examples of SWRL rules are depicted in Fig. 7.