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Towards Rules-Based Mapping Framework for RESTful Web Services

机译:走向基于规则的映射框架,用于RESTful Web服务

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Integrating web services is usually time-consuming and requires a lot of programming efforts and experiences due to documentation burden and coding style convention overhead provided by external parties. Fortunately, RESTful web services simplify the integration task compared to the traditional web service WSDL as coding convention is significantly reduced. However, the documentation burden is still evident and developers usually rely on running examples to gain better knowledge and use web service documentation efficiently. The subject of my PhD thesis is to propose a novel rules-based mapping method for mapping a desired web service to potential candidates from a predefined web service repository. In this research, the assumption is that web services are made of RESTful APIs specified in Javascript Object Notation (JSON) format. My significant thesis contributions are: (1) a hybrid model for web service similarity, (2) a rules-based mapping approach for identifying and classifying the most related and similar services against a given desired web service, and lastly (3) a concrete and detailed evaluation to show the effectiveness of the proposed approach and framework.
机译:集成Web服务通常是耗时的,并且由于外部各方提供的文档负担和编码样式约定架构,需要大量的编程工作和经验。幸运的是,与传统的Web服务相比,与传统的Web Service相比,与传统的Web Service WSDL显着减少,简化了集成任务。但是,文档负担仍然很明显,开发人员通常依赖于运行示例来获得更好的知识和有效地使用Web服务文档。我的PHD论文的主题是提出一种基于规则的基于规则的映射方法,用于将所需的Web服务映射到来自预定义的Web服务存储库的潜在候选。在这项研究中,假设是Web服务由JavaScript对象表示法(JSON)格式中指定的RESTful API。我的重要论文贡献是:(1)用于Web服务相似性的混合模型,(2)基于规则的映射方法,用于识别和分类对给定期望的Web服务的最相关和类似的服务,最后(3)混凝土详细评估表明拟议方法和框架的有效性。

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