Service Oriented Computing (SOC) is changing the way of developing software systems.
Each web service has a specific purpose to serve, so it can not satisfy users’ request.
In this paper, we propose a Web services composition method based on OWL on
tology,
and design an automatic system model for services discovery and composition. This
method uses domain ontology and WordNet to calculate matching between input and
output parameters and uses Category ontology to solve the problem of semantic
heterogeneity in web service description. We use services with single input and single
output and cost as QoS criteria. This method can enhance the efficiency and accuracy of
service composition, and the experiments are used to validate and analyze the proposed
system.
With the increasing growth in popularity of Web services and SOA, discovering
relevant Web services becomes a significant challenge. The introduction of intentional
services is necessary to bridge the gap between low level, technical software-servi
ce
descriptions and high level, strategic expressions of business needs for services.
Current Web Services technology based on UDDI and WSDL does not make use of
this “intention” and therefore fails to address the problem of matching between capabilities
of services and business user needs.
This work addresses the problem of intentional semantic web service search in
Arabic, where a novel approach is proposed for partitioning user goals based on Arabic
verb ontology, in addition to showing a practical example about the effect of applying verb
ontology in intentional web service search.
