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web api Discovery Using Semantic Similarity and Hungarian Algorithm

JOURNAL OF INTERNET TECHNOLOGY 2018年第6期19卷 1657-1664页

作者： Ma, Shang-Pin Lin, Hsuan-Ju Chen, Hsi-Min Chen, Ying-Jen Lee, Wen-Tin Natl Taiwan Ocean Univ Dept Comp Sci & Engn Keelung Taiwan Feng Chia Univ Dept Informat Engn & Comp Sci Taichung Taiwan Natl Kaohsiung Normal Univ Dept Software Engn Kaohsiung Taiwan

Representational state transfer (REST) is the current design standard for web application programmable interfaces (apis). Unfortunately, existing web api search engines allow for only keyword or tag-based searches. Furthermore, search engines do not take into account the semantics and the interface compatibility. This paper reports on a novel approach to RESTful service discovery, referred to as Interface-Compatibility-based Semantic Service Search (ICS3). ICS3 expands terms in service documents using DBpedia and WordNet, and then filters out services that are inapplicable to the user query, in two steps: (1) calculating semantic similarity between candidate services and the user query and (2) calculating the degree of interface compatibility between candidate services and the user query using the Hungarian algorithm. Experiment results demonstrate that ICS3 outperforms other web apis search methods in terms of.

关键词： Service discovery RESTful service web api Term expansion Interface compatibility

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Improving open data web api documentation through interactivity and natural language generation

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COMPUTER STANDARDS & INTERFACES 2023年 83卷 1页

作者： Gonzalez-Mora, Cesar Barros, Cristina Garrig, Irene Zubcoff, Jose Lloret, Elena Maz, Jose -Norberto Univ Alicante Apdo Dept Software & Comp Syst Correos 99 E-03080 Alicante Spain

Widely adoption of Information Technologies has resulted in the continuous growing of open data available on the web. However, the lack of suitable mechanisms to understand open data sources hampers its reusability. One way to overcome this limitation is by means of web Application Programming Interfaces (apis) with proper documentation, nowadays being the existing very rudimentary, hard to follow, and sometimes incomplete or even inaccurate in most cases. In order to improve the documentation of web apis that access open data, this paper proposes a novel approach to automatically generate interactive web api documentation, both machine and user readable. This process starts by analysing the documentation of an api to obtain important information, automatically constructing Natural Language descriptions of the main web api concepts by applying Natural Language Processing (NLP), and specifically, language generation techniques. Then, the documentation is made interactive by making it available as a web interface, offering easy access to open data provided by web apis. Therefore, the use and comprehension of the web apis is facilitated, thus promoting the reusability of open data. The feasibility of our approach is presented through a case study and an experiment with users, both showing the benefits of our approach.

关键词： web api Openapi documentation Natural language processing Natural language generation

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Contexts Enhance Accuracy: On Modeling Context Aware Deep Factorization Machine for web api QoS Prediction

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IEEE ACCESS 2020年 8卷 165551-165569页

作者： Shen, Limin Pan, Maosheng Liu, Linlin You, Dianlong Li, Feng Chen, Zhen Yanshan Univ Colleague Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China Chinese Acad Sci Natl Sci Lib Beijing 100864 Peoples R China Northeastern Univ Coll Comp & Commun Engn Shenyang 110819 Peoples R China

Service-oriented computing (SOC) promises a world of cooperating services loosely connected, constructing agile web applications in heterogeneous environments conveniently. web application interface (api) as an emerging technique attracts more and more enterprises and organizations to publish their deep computing functionalities and big data on the Internet, web api has become the backbone to promote the development of SOC, thus forming the prosperous web api economy. However, the number of available web apis on the Internet is massive and growing constantly, which causes the web api overload problem. Quality of service (QoS) as an indicator is able to well differentiate the quality of web apis and has been widely applied for high quality web api selection. Since testing QoS for massive web apis is resource-consuming, and the QoS performance depends on contextual information such as network and location, hence accurate QoS prediction has become very crucial for personalized web api recommendation and high quality web application construction. To address the above issue, this paper presents a context aware deep factorization machine model (CADFM for short) for accurate web api QoS prediction. Specifically, we first carry out detailed data analysis using real-world QoS dataset and discover a positive relationship between QoS and contextual information, which motivates us to incorporate beneficial contexts for enhancing QoS prediction accuracy. Then, we treat QoS prediction as a regression problem and propose a context aware CADFM framework that integrates the contextual information via embedding technique. Particularly, we adopt MF and MLP for high-order and nonlinear interaction modeling, so as to learn the complex interaction between users and web apis accurately. Finally, the experimental results on real-world QoS dataset demonstrate that CADFM outperforms the classic and the state-of-the-art baselines, thereby generating the most accurate QoS predictions and incre

关键词： Quality of service Context modeling Predictive models Context-aware services Internet Organizations Software Service-oriented computing web api quality of service prediction context aware deep factorization machine

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A web api for weather generation and pest development simulation in North America

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ENVIRONMENTAL MODELLING & SOFTWARE 2022年 157卷

作者： Fortin, Mathieu Lavoie, Jean-Francois Regniere, Jacques Saint-Amant, Remi Nat Resources Canada Canadian Forest Serv Canadian Wood Fibre Ctr 580 Booth St Ottawa ON Canada Nat Resources Canada Canadian Forest Serv Canadian Wood Fibre Ctr 1055 Rue PEPS Quebec City PQ G1V 4C7 Canada Nat Resources Canada Canadian Forest Serv Laurentian Forest Ctr 1055 Rue PEPS Quebec City PQ G1V 4C7 Canada

Climate is an essential component of environmental models. Over the last two decades, many weather generators have been presented in the literature. Although their implementation into software has been of great help to environmental modellers, their lack of integration into modelling frameworks still represents a challenge for end users. In many cases, end users have to retrieve the climate variables by themselves in order to use an environmental model. In some other cases, the weather generator software is embedded into the modelling framework, but this increases the maintenance *** this paper, we present a different approach: the deployment of a weather generator as a web api. A few application examples are provided to illustrate the benefits of this implementation. In summary, a web api facilitates the integration into modelling frameworks, decreases the maintenance effort and avoid interoperability issues due to different programming languages.

关键词： Weather generator web api Client-server architecture Interoperability Software maintenance Software integration

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A web api Framework for Developing Grid Portals

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Procedia Computer Science 2011年 4卷 392-401页

作者： Valerio De Luca Italo Epicoco Daniele Lezzi Giovanni Aloisio Dep. Engineering for Innovation University of Salento via per Monteroni 73100 Lecce Italy

In this paper we describe a grid problem solving environment we developed for financial applications. We based its development on a portlet framework we have specifically developed and on a set of web apis that encapsulate all grid control and computation logic. Even though nowadays grid portals are characterized by various and different features and are implemented in very differing programming languages and technologies, we thought that they have many structural aspects in common. For this reason we decided to design and implement a set of Grid specific web apis, that we called GRB Wapi. Through them, a portal developer will not have to deal with grid technical details and will be able to manage a high level design. A portal developer will be able to concentrate on some other aspects that concern presentation, such as portal usability and functionality. We discarded the idea of developing a traditional library in order to free portal developers from a particular implementation technology. Thanks to this choice the portal presentation logic can be implemented in any web technology and can be on a different server

关键词： Grid Problem Solving Environment web api REST Grid Portals Portlet

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Implementation of Data Mining on a Secure Cloud Computing over a web api using Supervised Machine Learning Algorithm Data Mining in a Secure Cloud Computing Environment through Restful api

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第5期13卷 1-4页

作者： Ige, Tosin Sikiru, Adewale Univ Texas El Paso Dept Comp Sci El Paso TX 79968 USA Virginia Technol Univ Dept Comp Sci Blacksburg VA USA

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over a restful Application Programming Interface (api). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model.

关键词： Cloud computing data warehouse data mining window service web api machine learning algorithm secure cloud computing

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From a Desktop Application to a web api A Code Conversion Approach

From a Desktop Application to a Web API A Code Conversion Ap...

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作者： Jo?o Nuno Brito José Luís Pereira Information Systems Department & Algoritmi Center University of Minho

Nowadays, hybrid solutions that manage the interaction between desktop platforms and web applications and mobile devices are steadily gaining more and more importance. In this context, the use of web services stands as the development technology to use. In this paper an automatable approach for the conversion of code from a desktop application to a web service is presented. In order to demonstrate this approach, a real-life based scenario is presented, in which the services of an ERP(Enterprise Resource Planning) system were made available, automatically, via web services, using the web api(Application Programming Interface) framework from Microsoft.

关键词： Code conversion REST SOAP web api ERP

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面向Mashup的web api生态网络结构分析

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湖南科技大学学报（自然科学版） 2019年第4期34卷 97-103页

作者：雷文全唐明董张祥平夏艳敏湖南科技大学计算机科学与工程学院

随着api经济的发展,越来越多的公司通过web api开放自己的数据和服务,以实现商业增值.与此同时,通过调用和合成不同web api的Mashup应用开发模式也逐渐流行,形成了面向Mashup的web api生态系统.然而,目前对这种web api生态系统的认识还... 详细信息

随着api经济的发展,越来越多的公司通过web api开放自己的数据和服务,以实现商业增值.与此同时,通过调用和合成不同web api的Mashup应用开发模式也逐渐流行,形成了面向Mashup的web api生态系统.然而,目前对这种web api生态系统的认识还不够深入,对api关系网络和api提供者关系网络缺少分析.本文利用***上的真实数据对web api生态网络结构进行了分析,提出了挖掘web api协作网络以及web api提供者合作网络的方法,在此基础上分析了这些网络的基本结构特征,如网络尺寸、平均度、聚集系数、同配/异配性等.分析结果不仅能加深对web api生态系统的认识,还可以为web api的有效发现提供支持.

关键词： web api 网络分析 Mashup 结构特征 web api提供者

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基于web api的跨境电商分销系统数据接口设计与实现

基于Web API的跨境电商分销系统数据接口设计与实现

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作者：刘浩上海交通大学

学位级别：硕士

近几年才发展起来的跨境电商在业务上和多系统数据交互上有更复杂的特性,比如订单商品通关需要与众多公共服务平台通过开放式web api协作交互走完流程。跨境电商分销系统通过对商户开放自己的数据端口让其他经销商也能销售跨境商品,其... 详细信息

近几年才发展起来的跨境电商在业务上和多系统数据交互上有更复杂的特性,比如订单商品通关需要与众多公共服务平台通过开放式web api协作交互走完流程。跨境电商分销系统通过对商户开放自己的数据端口让其他经销商也能销售跨境商品,其种种新特性决定了它有了不同于传统电商数据端口的设计,有着新的研究意义。通过对国内多个平台的开放式web api进行了研究和比较,结合跨境电商分销系统新特性和需求、Restful web api的设计思想,对跨境电商分销系统两个最具有代表性的开放式数据端口进行了优化设计和实现,本文研究和设计的这两个数据端口分别是获取商品信息接口和接收分销商订单接口。研究了数据接口身份验证的几种方式的优缺点,根据分销系统这两个端口的特性最终采用了复合式身份验证方案;在接收订单数据时实现了利用高速缓存和异步处理相结合的手段,提高了数据端口在高并发接收数据和验证幂等性的性能;设计和实现了如何减少商品数据端口调用频率和限制经销商订单频率等优化方案;探讨了最大化利用HTTP协议和在版本演化及调试等方面在这两个数据端口上的应用。本文使用c#代码的.net框架最终实现,通过编写测试单元和web api测试工具对端口进行了几种方案的性能测试和比较,实验结果表明数据端口达到设计需求,优化的设计方案能在保证数据接口安全性前提下大幅提高处理性能。

关键词： web api 跨境电商身份验证

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基于web api的江苏省级现代农业产业园区监测评价系统设计开发与应用

基于WEB API的江苏省级现代农业产业园区监测评价系统设计开发与...

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作者：卞立平南京农业大学

学位级别：硕士

近十多年来,现代农业产业园区已经成为推动农业现代化和高质量发展的重要抓手,得到中央和地方政府的肯定和支持。江苏是国内最早开展省级现代农业产业园区(以下简称“省级园区”)建设的省份。构建基于现代网络技术的园区发展基础数据上... 详细信息

近十多年来,现代农业产业园区已经成为推动农业现代化和高质量发展的重要抓手,得到中央和地方政府的肯定和支持。江苏是国内最早开展省级现代农业产业园区(以下简称“省级园区”)建设的省份。构建基于现代网络技术的园区发展基础数据上传、管理、分析和建设水平的科学、标准化评估信息平台,已成为评估检验全省省级园区建设水平、推动园区建设管理水平提档升级的迫切要求,对进一步推动全省园区高质量发展具有重要的意义。由于web api具有松散耦合、平台无关、可扩展等特性,使得其可很方便的用于构建前后分离架构的现代化web应用系统。本研究以实现江苏省级园区监测评价工程信息化为目标,研究制定了一套针对省级园区建设目标要求和建设管理特点的评价指标体系,以及省级园区建设水平评价管理与分析的信息化平台,为全省省级园区的监测和评价提供了技术支持。本文工作的主要贡献如下:(1)调查分析江苏省省级现代农业产业园区的产业结构特点、地区环境条件差异、以及监测评价工作的现状和特点,按照省政府相关部门的监管要求构建了6个大类计37项具体评价指标,上千项反映园区建设水平的基础数据,研究确定了用于分析评价的综合监测评价指标体系和等级评价考核方法。(2)基于web api的前后端分离多层架构,创新性的研发了具有园区数据填报、数据智能校验、多部门数据审核、指标评价计算、微信民意调研,以及各类基础数据的查询、统计分析、动态数据可视化展示等多种特色功能的“江苏省现代农业产业园区监测评价系统”。(3)在web api中集成整合Swagger UI、Mini Profiler等工具和缓存技术,为系统的测试、调试和优化提供了极大的便利,结合T4模板技术,大大减少了重复的代码劳动。通过Vsa Engine和Java Script解决了公式动态计算的问题,实现数据的智能校验和评价自动计算功能,有效提高了数据采集的准确性和实效性,提高了监测评价工作的效率。(4)采用***框架及其衍生生态工具进行搭建的前端web应用,配合Echarts组件,具有优秀的用户体验和视觉效果,并支持数据填报校验预警提示、统计分析数据动态可视化展示等功能,为监测评价工作的开展提供了良好的应用体验。(5)创新性的利用微信公众号和LBS定位技术,开发了收集基层农民、干部、新型经营主体等园区建设参与和收益者对园区建设成就独立评价的民意调查新手段、新方法,极大提高了民调工作的效率、可操作性、受调查者自主答题的私密性、调查结果的可靠性,并将民调结果作为园区评价的指标项之一。(6)该系统为江苏省园区建设主管部门完成2015年、2016年和2018年的全省省级园区监测评价工作,以及上述三个年度的《江苏省现代农业产业园区建设水平监测评价报告》,落实省级园区“能进能退、动态管理”要求提供了重要的现代化信息技术支撑。

关键词：现代农业园区监测评价指标体系 web api

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