Web Services Discovery and Recommendation Based on Information Extraction and Symbolic Reputation
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This paper shows that the problem of web services representation is crucial and analyzes the various ...
This paper shows that the problem of web services representation is crucial and analyzes the various
factors that influence on it. It presents the traditional representation of web services considering traditional
textual descriptions based on the information contained in WSDL files. Unfortunately, textual web services
descriptions are dirty and need significant cleaning to keep only useful information. To deal with this
problem, we introduce rules based text tagging method, which allows filtering web service description to
keep only significant information. A new representation based on such filtered data is then introduced.
Many web services have empty descriptions. Also, we consider web services representations based on the
WSDL file structure (types, attributes, etc.). Alternatively, we introduce a new representation called
symbolic reputation, which is computed from relationships between web services. The impact of the use of
these representations on web service discovery and recommendation is studied and discussed in the
experimentation using real world web services.
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