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Fig 4. Content and context awareness protocol ontology
To understand each other correctly, accurate information
semantic transportation is the first part. The core
ontology of KC 2 A 2 P defines three concepts of content,
context, act, which not only support the semantic
interconnection between different protocols, but also
offer framework for the protocol information formation.
(Fig4)
V. ONTOLOGY-BASED AWARENESS COMPUTING
Based on KC 2 A 2 P ontology, senders can decide what
it need to encode and receiver can know what the truth
meaning of transferred message is and what is related the
requirement.
Ontology-based semantic relatedness computing is
important for realizing this mutual awareness. Semantic
relatedness is a general concept that could include
semantic similarity computing. And it is more useful
than just semantic similarity computing. Because similar
entities are always semantically related by virtue of their
similarity (female-woman), but dissimilar entities may
also be semantically related by lexical relationships such
as meronymy (car–wheel) and antonymy (hot–cold), or
just by any kind of functional relationship or frequent
association (pencil–paper, penguin–Antarctica, rain–
flood). Computational applications typically require
relatedness rather than just similarity; for example, when
asking for traveling information, some resource about
hotel and weather is also required. SRC (Algorithm of
Semantic Relatedness of Concepts) [13] is a semantic
relativity algorithm ,which just bases on ontology and
does not need any former knowledge. It has three main
steps : reading OWL files and building proper graph;
according to its subsume axioms producing sub
graph( that is a tree structure) consisting only
subsumption relationship and counting the semantic
relatedness by myObjectMatching method; according to
the relation path functions ,calculating the whole classes
semantic similarity based on the graph filling with six
kinds of relations. Some formulas are:
Sem _ Re lated [ C ][ C ] is the semantic
1 2
relativity value of C and C
1 2
Sem _ Weight [ C ][ C ] is the direct
2 3
semantic weight of C and C
2 3
Sem _ Road [ C ][ C ] =
1 3
Sem _ Re lated [ C ][ C ] × Sem _ Weight [ C ] [ C ] (1)
1 2
2 3
Sem _ Re lated [ C ][ C ] = max
⎛
_ [ ][ ][ ]
⎞
⎜ Sem Road S C C ⎟ (2)
1 3 ⎝
1 3
s
⎠
VI. EXPERIMENT
We take Education Information Platform as
experiment background, Eclipse+JADE (Java Agent
Development framework) as exploitation tool, research
on the awareness-based knowledge communication
process. One client inquires a book named Semantic
Web. There are four different providers. Provider1 holds
one book on Ontology, provider2 holds Semantic Web
Journal and provider3 hasn’t any resource about
Semantic Web. When the buyer sends a request for
looking for a book on Semantic Web, provider3 refuses
the request because it doesnot have this resource.
Provider1 and provider2 analyze the request by content
awareness algorithm and send decision to the client.
Client analyses these replies and chooses propose which
is close to its own request. The interaction process of this
example is illustrated by Figure 5.
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