C. Automatic Semantic Relation Inference
Give a set of semantic relations on keyphrases and two
different keyphrases. The inference engine will infer to
find a certain semantic relation between these twokeyphrases from the relation set in the ontology, the
property of the relations and the set of deductive rules
which have been defined already. In old solution [6], to
calculate the relevance between two keyphrases k and k’
(α), the system must find out sequences that connect k and
k’. This method costs numerous of time because of
exhausting all the whole relations. Moreover, in some
cases, k and k’ in reality do not have any relationship but
linking sequences of them still exists in the system. On the
contrary, with the new set of rules and forward chaining
reasoning, measuring the similarity between two
keyphrases is now more precise and faster.
C. Automatic Semantic Relation InferenceGive a set of semantic relations on keyphrases and twodifferent keyphrases. The inference engine will infer tofind a certain semantic relation between these twokeyphrases from the relation set in the ontology, theproperty of the relations and the set of deductive ruleswhich have been defined already. In old solution [6], tocalculate the relevance between two keyphrases k and k’(α), the system must find out sequences that connect k andk’. This method costs numerous of time because ofexhausting all the whole relations. Moreover, in somecases, k and k’ in reality do not have any relationship butlinking sequences of them still exists in the system. On thecontrary, with the new set of rules and forward chainingreasoning, measuring the similarity between twokeyphrases is now more precise and faster.
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