Abstract
A Hybrid Similarity Measure for Dynamic Service Discovery and Composition based on Mobile Agents
Highlights
Over the last years has become widely popular as the number of Web services deployed in the world is rapidly increasing owing to their low-cost and cross-organizational construction of distributed applications in heterogeneous environments [1]
To improve the performance mentioned in the last Section, we have been implemented our proposed approach in JADE Platform and OpenNLP Framework [30], which are based on the java language using an Intel® Core (TM) i7-4770 processor with 8 GB of main memory running Windows 10
Our experimental data is from the OWLS-TC version 3.0 dataset, which contains 1007 indexed OWL-S services, most of which were collected from public IBM UDDI registries semiautomatically transformed from WSDL to OWL-S
Summary
Over the last years has become widely popular as the number of Web services deployed in the world is rapidly increasing owing to their low-cost and cross-organizational construction of distributed applications in heterogeneous environments [1]. In another term, as the number of WSs increases, the discovery of web services needed by the user becomes more and more critical [2, 3]. Since there are some conventional approaches based on WSDL [4] as the description of Web Service, it provides limited results due to lack of semantic service description. The Semantic Web Services (SWS) concept is the result of integrating Web services and Semantic Web technologies [8]
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