Research Article
A Web Service Clustering Method Based on Semantic Similarity and Multidimensional Scaling Analysis
Algorithm 1
Preprocessing of a service description document.
| Input: D, T, α | | Output: PD (PD is initialized to empty) | | Begin: | | FOR each tag in T do: | | flag ⟵ 0; | | FOR each word in D do: | | IF WordNet.similarity (tag, word) >α do: | | PD.add (word); | | flag ⟵ 1; | | ENDIF | | ENDFOR | | IF flag = 0 do: | | PD.add (tag); | | ENDIF | | ENDFOR | | RETURN PD; | | END |
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