In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.

Packet : 97288410uddiexplorer_src.zip filelist
UDDIExplorer_src/
UDDIExplorer_src/ServiceRanking/
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UDDIExplorer_src/ServiceRanking/similaritycombiner.cs
UDDIExplorer_src/ServiceRanking/SimilarityMeasure.cs
UDDIExplorer_src/ServiceRanking/StopWordsHandler.cs
UDDIExplorer_src/ServiceRanking/SyntacticSimilarity.cs
UDDIExplorer_src/ServiceRanking/TextMatching.cs
UDDIExplorer_src/ServiceRanking/TFIDFMeasure.cs
UDDIExplorer_src/ServiceRanking/Tokeniser.cs
UDDIExplorer_src/UDDI Explorer/
UDDIExplorer_src/UDDI Explorer/assemblyinfo.cs
UDDIExplorer_src/UDDI Explorer/copyable.cs
UDDIExplorer_src/UDDI Explorer/HelpForm.cs
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UDDIExplorer_src/UDDI Explorer/microsoft.uddi.sdk.dll
UDDIExplorer_src/UDDI Explorer/operationextend.cs
UDDIExplorer_src/UDDI Explorer/ResultFilter.cs
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UDDIExplorer_src/UDDI Explorer/UDDI Explorer.sln
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UDDIExplorer_src/UDDI Explorer/uddiservicelist.cs
UDDIExplorer_src/UDDI Explorer/WSDLRetrieval.cs
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UDDIExplorer_src/WSDLParser/App.ico
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UDDIExplorer_src/WSDLParser/XMLGenerator.cs

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