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Graph-Based Semantic Web Service Composition for Healthcare Data Integration
Matchmaking algorithm semantic web services. Thelma Craft, 21 years old. Semantic Matchmaking Algorithms - Semantic Scholar. Recommend Documents. Semantic Matchmaking Algorithms - Semantic Scholar client to matchmaking algorithm semantic web services select an appropriate service from a pool of dynamically MatchMaking Shell - Semantic Scholar as the automatic ranking of a set of offers with reference to a set of requests. Matchmaking is often an important phase in any e-negotiation system, as it enables Flexible Semantic-Based Service Matchmaking Service name with its textual description, names of operations and their textual.
Within the numerous and heterogeneous web services offered through different sources, automatic web services composition is the most convenient method for building complex business processes that permit invocation of multiple existing atomic services. The current solutions in functional web services composition lack autonomous queries of semantic matches within the parameters of web services, which are necessary in the composition of large-scale related services. In this paper, we propose a graph-based Semantic Web Services composition system consisting of two subsystems: management time and run time. The management-time subsystem is responsible for dependency graph preparation in which a dependency graph of related services is generated automatically according to the proposed semantic matchmaking rules.
As the number of available Web services increase finding appropriate Web services to fulfill a given request becomes an important task. Most of the current solutions and approaches in Web service discovery are limited in the sense that they are strictly defined, and they do not use the full power of semantic and ontological representation.