How to Discover a Semantic Web Service by Knowing Its Functionality
  Parameters
  In this work, we show how to discover a semantic web service among a
repository of web services. A new approach for web service discovery based on
calculating the functions similarity. We define the Web service functions with
Ontology Web Language (OWL). We wrote some rules for comparing two web
services` parameters. Our algorithm compares the parameters of two web
services` inputs/outputs by making a bipartite graph. We compute the similarity
rate by using the Ford-Fulkerson algorithm. The higher the similarity, the less
are the differences between their functions. At last, our algorithm chooses the
service which has the highest similarity. As a consequence, our method is
useful when we need to find a web service suitable to replace an existing one
that has failed. Especially in autonomic systems, this situation is very common
and important since we need to ensure the availability of the application which
is based on the failed web service. We use Universal Description, Discovery and
Integration (UDDI) compliant web service registry.
