Research Article
Hierarchical Matching of Traffic Information Services Using Semantic Similarity
Algorithm 3
Semantic matching using mixed model of TIS.
| Input: | | Req =RDescription, RInput-Ouput: service request | | : similarity threshold | | Output: | | result_set: service sets with similar functions | | Begin | | service_set ← null | | allServices ←getServices() | | cluster ←getServiceCluster(service_set) | | serviceCategory ←getServiceCategory(service_set) | | ←ServiceDescriptionExtraction(Req) | | ←ServiceFunctionExtraction(Req) | | ←ServiceClassfication(Req) | | Services ←getServicesFromSpecifiedCategories(, cluster, | | serviceCategory) | | for S in Services do | | | | if | | result_set ← result_set ∪ S | | end if | | end for | | SortedBySimilarity(result_set) | | End |
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