Title :
Service matching model for RESTful web services
Author :
Jianhu Zhu ; Fang Cheng
Author_Institution :
Testing Technol. Res. Inst. of Broadband, Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
In recent years, lots of RESTful Web services have emerged. However, it is still a critical problem that how to effectively find the desired RESTful Web services. Based on an efficient matching algorithm, this paper constructs a matching model. The model uses hRESTS and MicroWSMO to describe HTML document of RESTful Web Services. The model includes ontology, marking properties, matching engine, extractor, etc. Those modules have different functions. And the model can match the conditions of service requester and the parameters provided by service to find services. It is proved by experiments that the efficiency of RESTful Web services based on this model has been greatly improved compared with the existing matching model.
Keywords :
Web services; hypermedia markup languages; pattern matching; HTML document; MicroWSMO; RESTful Web services; hRESTS; service matching model; service requester conditions; Classification tree analysis; HTML; Ontologies; Protocols; Semantics; Syntactics; Web services; MicroWSMO; RESTful Web services; formatting; hRESTS; marking properties; matching algorithm; semantics;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6975998
