Characteristics Of Web Services Research Articles

Doświadczenie kształcenia na odległość studentów psychologii komunikacji interpersonalnej

The article concerns the results of theoretical and empirical research of designing and realization of modern Web-services in the educational process of high school as well as implementation and application of Google Classroom service in the educational process of a university. The scientific and methodological bases of the research are substantiated. The features of Web-services were revealed and the economic, technical, functional, functional-educational, personal, and educational advantages of using Google Classroom in institutions of higher education were determined. The methodical steps of using Google Classroom in the process of teaching and studying the discipline “Psychology of Interpersonal Communication” by students of the specialty 053 Psychology were characterized. The results of Google Classroom service implementation in the process of studying by students the discipline are proven, empirically and statistically validated. The effect is an increase in the level of students’ effective interpersonal communication qualities that demonstrate the benefits of using this service for psychology students, especially during pandemic times. The issues of designing and implementing the Google Classroom service in the process of studying other psychological disciplines by students of humanities at all educational levels, as well as examining the advantages and disadvantages of using this service, are treated by the authors as promising for further research.

ProPores2: Web Service and Stand-Alone Tool for Identifying, Manipulating, and Visualizing Pores in Protein Structures

Surface pockets, cavities, and tunnels in the 3D structures of proteins play integral functional roles such as enabling enzymatic catalysis, ligand binding, or transport of ions or small molecules across biomembranes. ProPores2 facilitates understanding and analysis of these processes by identifying pores and lining residues, determining their axes, and opening closed connections via side-chain rotation. The fast stand-alone tool introduces a novel mode for pore identification, improved axis determination, and additional features such as parallel batch processing and a graphical user interface. The new web service features an integrated and customizable protein viewer with an option to analyze and view more than one structure at once. This feature facilitates side-by-side comparisons of pores in different conformations of the same protein or of identified pores before and after opening gates within the same protein. ProPores2 is freely and publicly available at https://service.bioinformatik.uni-saarland.de/propores.

The potential of Google Classroom web service for lecturers of higher educational establishments under pandemic conditions

Researches and publications on using Google Classroom web service for lecturers of higher educational establishments under pandemic conditions are analysed. The current state of higher education under pandemic conditions is characterised. Features of Google Classroom web service have been identified. The methodical development for lecturers of higher educational establishments “Potential of using Google Classroom web service” is described. Criteria and levels of using Google Classroom web service are defined. Initial diagnostic of the levels of using Google Classroom web service was conducted. During the diagnostic was revealed that most respondents have insufficient levels of theoretical knowledge and practical skills. In order to increase the level of using Google Classroom web service, the methodological development was implemented. As a result, positive dynamics in the levels of theoretical knowledge and practical skills of using Google Classroom web service was revealed. The effectiveness of the obtained results was confirmed by Fisher’s criterion.

Quản lý dữ liệu không gian trong các hệ thống thông tin nền web: các vấn đề phát sinh và giải pháp chuẩn hóa

The need for monitoring the spatial infrastructure is becoming an essential part of the management systems of large organizations. Although possessing many different specialized information systems, most of them ignore the spatial factors. That leads to a lot of restrictions related to the management of distributed objects as infrastructure. The paper has successfully proposed a process and model for standardizing (spatial and non-spatial) infrastructure data based on the principle of distributed ontology. The proposed model, based on two groups of Web services: Domain-based Web Services (DWS) and Web Features Services (WFS), achieves the goal of standardizing two specific infrastructure data groups, non-spatial and spatial, ready to operate in a distributed environment for rendering Web-based interactive maps.

Experimental Analysis for Semantic based Large Scale Service Composition using Deep Learning

In Service Oriented Architecture (SOA) web services plays important role. Web services are web application components that can be published, found, and used on the Web. Also machine-to-machine communication over a network can be achieved through web services. Cloud computing and distributed computing brings lot of web services into WWW. Web service composition is the process of combing two or more web services to together to satisfy the user requirements. Tremendous increase in the number of services and the complexity in user requirement specification make web service composition as challenging task. The automated service composition is a technique in which Web Service Composition can be done automatically with minimal or no human intervention. In this paper we propose a approach of web service composition methods for large scale environment by considering the QoS Parameters. We have used stacked autoencoders to learn features of web services. Recurrent Neural Network (RNN) leverages uses the learned features to predict the new composition. Experiment results show the efficiency and scalability. Use of deep learning algorithm in web service composition, leads to high success rate and less computational cost.

Integrated probability multi-search and solution acceptance rule-based artificial bee colony optimization scheme for web service composition

Web service composition is considered as the hottest and potential research area in the domain of Service Oriented Architecture since the users focus on Quality of Service (QoS) and transaction properties included in the integration of services. Moreover, the potential quality of modularity and reusability features of web services has wide open the feasible options of integrating diversified function oriented services together with the better optimization capability. Hence, a meta-heuristic approach-based web service composition scheme is essential for facilitating superior and comprehensive quality during the process of integrating services. In this paper, An Integrated Probability Multi-search and Solution Acceptance Rule-based Artificial Bee Colony Optimization Scheme (IPM-SAR-ABCOS) is proposed for optimizing the process of service compositions derived using transaction and QoS characteristics of services. This proposed IPM-SAR-ABCOS is efficient in determining the optimal path that exists between the source and sink vertex of the workflow inspired directed acyclic graph that aids in predominant service composition. The proposed IPM-SAR-ABCOS uses the rules of acceptance and multi-search probabilistic parameter for addressing the process of global optimization in service composition. The experimental analysis of the proposed IPM-SAR-ABCOS inferred that its response time, accuracy and recall value is enhanced by 24%, 22% and 19% excellent to the ABC-based meta-heuristic service composition techniques considered for analysis.

ВЕБ-ДОДАТОК ДЛЯ СЕРВІСУ СКЛАДАННЯ РАЦІОНУ ЗДОРОВОГО ХАРЧУВАННЯ ТА ДОСТАВКИ ПРОДУКТІВ

У статті обґрунтована необхідність створення веб-додатку, що об’єднує процеси складання здорового раціону харчування з урахуванням потреб людини та доставки продуктів. Проведено аналіз проблем автоматизації та інформатизації в Україні звичних для людини повсякденних справ, таких як забезпечення продуктами харчування, складання правильного раціону. Розглянуте питання актуальності даної проблеми, на основі якої проведено аналіз існуючих сервісів доставки продуктів в Україні. Були виявлені ключові недоліки та функції, яких не вистачає у кожному з них. Проведено аналіз дизайнів кожного ресурсу задля створення більш сучасного інтерактивного сервісу, який би задовольняв не тільки функціональні потреби користувачів, а й позитивно впливав на психоемоційний стан людини. Розглянуте питання зі створення сучасного веб-додатку, який поєднує в собі функції вибору продуктів харчування відповідно до насиченості поживними речовинами та калорійністю і реалізовує можливість доставки обраних товарів до клієнта. Представлені та аргументовані вимоги до дизайну ресурсу та інтерактивних елементів на сторінці. Визначено функції веб-сервісу, вимоги до контенту та програм для реалізації проекту. Веб-додаток розроблено за допомогою сучасних веб-технологій, що цілком відповідають прописаним специфікаціям. Визначені умови до адаптації та кросбраузерності додатку, задля можливості доступу до нього з усіх можливих пристроїв. Описано послідовність програмної реалізації веб-сервісу: розмітка, стилізація ресурсу, розробка модуля логіки та модуля інтерактивності. Сформульовано вимоги до програмного коду. Особливу увагу приділено функціональним можливостям ресурсу, аналогів яких, на українському ринку, знайдено не було, а саме, можливості обирати конкретні продукти, відповідно до вмісту в них поживних елементів, можливості бачити загальну калорійність продукту, відповідно до обраної ваги, та функцію зручного оформлення доставки замовлення, з можливістю додавання власного коментаря клієнта, що дозволяє приділити особливу увагу кожному замовнику та підвищити якість надання послуг у сфері продажу товарів.

Granularity-based Uncertain QoS Partitioning for Web Service Reliability

The performance of Web services may fluctuate due to their invocations in dynamic environment. Thus, quality of service (QoS) is inherently uncertain when reflecting non-functional features of Web services. QoS has been considered as a significant criterion for selecting those functionally similar services. In this paper, we proposed a novel granularity-based partitioning model (GPM) that is applied to evaluate the reliability of Web services with the consideration of uncertain QoS via cloud model and coefficient of variance. Extensive experiments with 1,558,224 service invocation records have been conducted to validate the effectiveness of our proposed approach. The results demonstrate that it outperforms the state-of-the-art traditional ones.

Web-Services-based Architecture for Information Integration in Nigeria Deregulated Electricity Market Environment

The recent handling over of the assets of Power Holding Company of Nigeria (PHCN) successor companies to the core investors was a major landmark in the reform of the electric power sector in Nigeria. However, the emergence of the different autonomous utilities for running the deregulated electricity market has great consequent for the day-to-day planning and operation of the power grid. There is need to exchange information and data between applications of the entities not only to guarantee the security and efficient operation of the power grid, but also for settlement purposes. This paper proposes a Web-services-based architecture for information integration between applications of the autonomous entities in deregulated electricity market. Loosely coupled feature of Web services provides more flexible and reliable way to integrate information in heterogeneous environments resulting from the unbundled vertically integrated national grid in Nigeria.

Statistical cross-language Web content quality assessment

Cross-language Web content quality assessment plays an important role in many Web content processing applications. In the previous research, natural language processing, heuristic content and term frequency-inverse document frequency features based statistical systems have proven effective for Web content quality assessment. However, these are language-dependent features, which are not suitable for cross-language ranking. This paper proposes a cross-language Web content quality assessment method. First multi-modal language-independent features are extracted. The extracting features include character features, domain registration features, two-layer hyperlink analysis features and third-party Web service features. All the extracted features are then fused. Based on the fused features, feature selection is carried out to get a new eigenspace. Finally cross-language Web content quality model on the eigenspace can be learned. The experiments on ECML/PKDD 2010 Discovery Challenge cross-language datasets demonstrate that every scale feature has discriminability; different modalities of features are complementary to each other; and the feature selection is effective for statistical learning based cross-language Web content quality assessment.

A trust evaluation model for web service with domain distinction

To realise commercial application of web service, research on its trust and reputation model should be raised into the agenda. After all, short of trust and reputation evaluation, web service will be trustless, which is not propitious for its development. Considering the feature of web service and existing trust and reputation evaluation methods, a trust evaluation model supporting domain distinction for web service is put up. The model measures trust and reputation of web service from two roles: requestor and provider. And its measuring content includes: service function and its QoS. To take more interest in recommendation of web service from similar domain, it combines domain factors as weighted average to compute recommendation trust. The simulation indicates that it works well on evaluation of trust even on the conditions of fake services and opinions disturbance.

Web Service Discovery by Integrating Structure and Reference Features of Description Documents

首先分析研究Web 服务描述文档(WSDL 文档)的两大特征——结构特征和参引特征,然后根据各个特征对Web 服务功能语义描述的影响,提出相应的Web 服务表示模型——多向量表示模型.区别于通用文本表示模型,该模型能够显式地表示Web 服务描述文档的本质特征.其中,结构特征语义表现在多向量空间的划分上,参引特征语义映射到子向量模型中特征权重的计算上.提出了基于多向量模型的Web 服务相似度计算方法,并实现了基于该模型的Web 服务发现原型系统.最后,在真实Web 服务描述文档集合上构造了一个具有不完全相关;This paper first investigates two main kinds of features of Web service description language (WSDL) documents: the structure features and the reference features. Next, a novel multi-vector model for Web services is introduced, which is distinguished from the general text representation model by the explicit features of Web services. The structure features are represented by multiple vector spaces and the term weighting in the sub-vector is determined by the reference features. A method to compute the similarity between two Web services is proposed and a Web service discovery prototype system based on this new model is implemented. Finally, a Web service discovery test collection is constructed, which has 1576 WSDL documents together with incomplete relevance judgments. The experimental results on this collection show that Web service discovery based on the proposed model is more effective than based on simple vector space model of text with the confidence of 95%.

Characterizing Compatibility of Timed Choreography

Web services are the main pillar of the Service Oriented Computing (SOC) paradigm which enables application integration within and across business organizations. One of the most important features of Web services is the idea of choreography which captures collaborative processes involving multiple services. In this context, compatibility analysis of choreography is a central point to investigate. The compatibility of a choreography means the capability of a set of Web services to interact by exchanging messages in a safe way. Whether a set of services are compatible depends not only on their sequences of messages but also on quantitative properties like timed properties. In this paper, the authors investigate a model checking based approach that checks the compatibility of a choreography in which Web services support asynchronous timed communications.

A SOA‐based medical diagnosis decision support system using the Bayesian theorem and web service technology

This study employs the framework of web services in conjunction with the Bayesian theorem to construct a SOA‐based medical decision support system for diagnosis. The purpose is to help users (physicians) with issues pertinent to medical diagnosis decisions. Users, through the system, key in available prior probabilities, and through computation based on the Bayesian theorem, obtain more accurate diagnosis. The process helps users enhance the quality and efficiency of medical decisions. On the other hand, features of web services enable this medical decision support system to offer more service platforms than the conventional one. Users will have access to the system whether they use Windows, Macintosh, Linux or any other platforms that connect with the Internet via HTTP. More important is the fact that after the system is complete, all web system developers will be able to access the system as a software element freely and quickly. This way, the goal of this study ‐ to provide a medical diagnosis decision support tool and speedily integrate heterogeneous medical decision support systems can be effectively achieved.

An Integrated Framework for Web Services Orchestration

Currently, Web services give place to active research and this is due both to industrial and theoretical factors. On one hand, Web services are essential as the design model of applications dedicated to the electronic business. On the other hand, this model aims to become one of the major formalisms for the design of distributed and cooperative applications in an open environment (the Internet). In this article, the authors will focus on two features of Web services. The first one concerns the interaction problem: given the interaction protocol of a Web service described in BPEL, how to generate the appropriate client? Their approach is based on a formal semantics for BPEL via process algebra and yields an algorithm which decides whether such a client exists and synthesizes the description of this client as a (timed) automaton. The second one concerns the design process of a service. They propose a method which proceeds by two successive refinements: first the service is described via UML, then refined in a BPEL model and finally enlarged with JAVA code using JCSWL, a new language that we introduce here. Their solutions are integrated in a service development framework that will be presented in a synthetic way.

A probabilistic approach to modeling and estimating the QoS of web-services-based workflows

Web services promise to become a key enabling technology for B2B e-commerce. One of the most-touted features of Web services is their capability to recursively construct a Web service as a workflow of other existing Web services. The quality of service (QoS) of Web-services-based workflows may be an essential determinant when selecting constituent Web services and determining the service-level agreement with users. To make such a selection possible, it is essential to estimate the QoS of a WS workflow based on the QoSs of its constituent WSs. In the context of WS workflow, this estimation can be made by a method called QoS aggregation. While most of the existing work on QoS aggregation treats the QoS as a deterministic value, we argue that due to some uncertainty related to a WS, it is more realistic to model its QoS as a random variable, and estimate the QoS of a WS workflow probabilistically. In this paper, we identify a set of QoS metrics in the context of WS workflows, and propose a unified probabilistic model for describing QoS values of a broader spectrum of atomic and composite Web services. Emulation data are used to demonstrate the efficiency and accuracy of the proposed approach.

Modeling and Simulation of QoS-aware Web Service Selection for Provider Profit Maximization

Web Services (WSs) are a new breed of web application that is gaining momentum. One of the research challenges it brings along is the establishment of an interoperable semantic framework suitable to represent not only the functional, but also the non-functional features of WSs, i.e. their Quality-of-Service (QoS), which in most cases are not included in the WS description. Nevertheless, integrating QoS features in WS profiles is to the advantage of both users and providers, as it supports QoS-aware WS selection and composition addressing the user's QoS requirements, while enabling WS providers to increase their profits. The purpose of this paper is twofold. On the one hand, it aims to present a QoS ontology framework adequate for WS provision. On the other hand, it studies the problem of providers that receive concurrent requests of numerous customers for WSs demonstrating different bandwidth and price properties. It introduces the “Selective Multiple Choice Knapsack Problem” that aims to identify the services that should be delivered to the customers in order to maximize the provider's profit, subject to maximum bandwidth constraints on the server side. Thus, the QoS-awareness in this version of this problem is limited to the consideration of two QoS parameters: service bandwidth and cost. The problem is solved by a proposed algorithm that has been empirically evaluated via numerous experiments.

Auction-Based Pricing Model for Web Service Providers

Applying auctions to Web services selection and invocation calls for examination due to the unique features of Web services, such as interoperable machine-to machine interactions and re-enterable bargaining services. In this paper, we propose a formal model for Web services-based auctions. Examining a one sided sealed auction type, we prove mathematically that service requestors’ risk preferences could lead to different pricing strategies for service providers towards higher profit. We argue that Service Level Agreement (SLA) documents can be used to analyze service requestors’ preferences. On top of WS Agreement, we propose a basic service requestor risk preference elicitation algorithm, as well as a historical data-based service requestor risk preference prediction model. Guidelines are provided to iteratively approach the learning rate of the proposed risk preference prediction model. The methods and techniques presented in this paper can be reused to investigate and examine more facades of services-oriented auctions towards establishing a new research realm on comprehensive services-oriented auctions.

Composition of Semantic Web services using Linear Logic theorem proving

This paper introduces a method for automatic composition of Semantic Web services using Linear Logic (LL) theorem proving. The method uses a Semantic Web service language (DAML-S) for external presentation of Web services, while, internally, the services are presented by extralogical axioms and proofs in LL. LL, as a resource conscious logic, enables us to capture the concurrent features of Web services formally (including parameters, states and non-functional attributes). We use a process calculus to present the process model of the composite service. The process calculus is attached to the LL inference rules in the style of type theory. Thus, the process model for a composite service can be generated directly from the complete proof. We introduce a set of subtyping rules that defines a valid dataflow for composite services. The subtyping rules that are used for semantic reasoning are presented with LL inference figures. We propose a system architecture where the DAML-S Translator, LL Theorem Prover and Semantic Reasoner can operate together. This architecture has been implemented in Java.

A declarative approach to composing web services in dynamic environments

A recent trend in E-business is the deployment of a variety of web services by product and service vendors to facilitate B2B and B2C E-commerce. To utilize these web services effectively, customer's have to (a) locate each of these services from service directories and retrieve brief service descriptions, (b) analyze service features and evaluate their applicability to the task at hand dynamically, and finally (c) invoke these services in a certain sequence to complete an overall business or personal need. Alternatively, intermediaries execute the aforementioned steps manually and provide a composite service for access from a single service platform. Both these approaches are highly tedious (either for the customer or intermediary) and non-scalable due to the volatility and size of the web. The dynamic nature of the availability and features of web services, real-time requirements on service composition and the large number of alternative combinations of service choices to fulfill a service need makes major demands on the service composition process. This paper presents a novel declarative approach to facilitate dynamic and scalable web service composition called Integrated Service Planning and Execution (ISP&E) based on AI planning techniques. Implementation of an architecture for dynamic web service composition and execution based on a domain-independent AI planning framework called Hierarchical Task Network (HTN) planning is described in this paper. Simulated experiments highlight the effectiveness of our proposed approach which interleaves service composition and execution, to cope with dynamic service capabilities and service volatility.