2011
DOI: 10.5121/ijwest.2011.2403
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Suitability of UML State Machine for Modeling Choreography of Services

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Cited by 6 publications
(3 citation statements)
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“…The OWL reasoner which provided the drug recommendations is OWLIM-Lite c together with Sesame d for providing the REST interface, the RDF data access and management platform and the SPARQL query interpretation layer. OWLIM was chosen as it has been found as one of the most efficient OWL reasoners [14,15]. …”
Section: Methodsmentioning
confidence: 99%
“…The OWL reasoner which provided the drug recommendations is OWLIM-Lite c together with Sesame d for providing the REST interface, the RDF data access and management platform and the SPARQL query interpretation layer. OWLIM was chosen as it has been found as one of the most efficient OWL reasoners [14,15]. …”
Section: Methodsmentioning
confidence: 99%
“…In [1], Kavantzas et al have proposed WS-CDL as an XML-based language that describes peer-to-peer collaborations of parties. Mellat et al [23] have investigated the UML State Machine to model the choreography of services. They have described the requirements of a choreography model by defining a set of interaction patterns and have showed how UML State Machine can model these patterns.…”
Section: ) Choreography State Machine Modelmentioning
confidence: 99%
“…It checks and takes user input, as well as feedbacks on execution information including reasoning results. Currently, there are a variety of modeling notations, such as UML [26][27][28][29][30][31], Message Sequence Charts (MSCs) [32], and BPMN [33,34], to visually model the choreography interaction. In our research, the UML class diagrams and collaboration diagrams (or Communication Diagrams in [35]) are preferred for the presentation of service choreography models from structural and behavioral viewpoint, respectively, taking the advantages of rigorous syntax and semantics, easiness to interpret, and various tools such as RSA, EA, and Rose to share some part of models.…”
Section: Mechanism For Service Choreography Model Verificationmentioning
confidence: 99%