UDDI Registry Research Articles

A Multilayered Clustering Framework to build a Service Portfolio using Swarm-based algorithms

ABSTRACT In this paper, a multilayered clustering framework is proposed to build a service portfolio to select web services of choice. It is important for every service provider to create a service portfolio in order to facilitate the service selection process for someone to obtain the desired service in the absence of public UDDI registries. To address this problem, a multilayered clustering approach applied on a variety of data pertaining to web services in order to filter and group the services of a similar kind which in turn will improve the leniency in the process of service selection is used. The advantages of the layer approach are reduced search space, combination of incremental learning and competitive learning strategies, reduced computational labour, scalability, robustness and fault tolerance. The results are subjected to cluster analysis to verify their degree of compactness and isolation and appropriate evaluation indices are used. The results were found passable with an improved degree of similarity.

A semantic web services discovery approach based on a mobile agent using metadata

PurposeThe success of web services involved the adoption of this technology by different service providers through the web, which increased the number of web services, as a result making their discovery a tedious task. The UDDI standard has been proposed for web service publication and discovery. However, it lacks sufficient semantic description in the content of web services, which makes it difficult to find and compose suitable web services during the analysis, search, and matching processes. In addition, few works on semantic web services discovery take into account the user’s profile. The purpose of this paper is to optimize the web services discovery by reducing the search space and increasing the number of relevant services.Design/methodology/approachThe authors propose a new approach for the semantic web services discovery based on the mobile agent, user profile and metadata catalog. In the approach, each user can be described by a profile which is represented in two dimensions: personal dimension and preferences dimension. The description of web service is based on two levels: metadata catalog and WSDL.FindingsFirst, the semantic web services discovery reduces the number of relevant services through the application of matching algorithm “semantic match”. The result of this first matching restricts the search space at the level of UDDI registry, which allows the users to have good results for the “functional match”. Second, the use of mobile agents as a communication entity reduces the traffic on the network and the quantity of exchanged information. Finally, the integration of user profile in the service discovery process facilitates the expression of the user needs and makes intelligible the selected service.Originality/valueTo the best knowledge of the authors, this is the first attempt at implementing the mobile agent technology with the semantic web service technology.

Performance Analysis of Different Classification Algorithms in Information Retrieval through Web Services

Background/Objectives: The web client gets easily lost in the web’s rich hyper structure as the utilization of web is expanding more step by step. The primary point of proprietor of the website is to give the important data in terms of satisfactory QoS (Quality of Service) factors like throughput, response time, accuracy and content availability. From the client point of view, Web Service based QoS Discovery is a multi-criteria decision mechanism that requires knowledge about the service and its QoS description. These clients are not experienced enough to acquire the best selection of web service and trust the QoS information published by the provider. Methods/Analysis: The existing t Model was used with XML based SOAP protocol in order to solve the problem of UDDI registry which holds QoS description. Findings: The new discovery approach is expected to be the solution for contemporary web service discovery problems. A comparative performance analysis of prominent page rank algorithms was made on the basis of metrics like throughput, response time, recall rate and precision rate etc. Simulation Interface has been designed for classification algorithms. The program is developed for the Fuzzy Logic, Naive Bayes, Neural Network, Linear Discriminant Analysis and Support Vector Machine using MATLAB application Improvements: The experiment revealed the fact that recall and precision rate are the best to predict the Quality of Service (QoS) supported by various E-Commerce web sites like Amazon, Jabong and Shop Clues etc. Detailed performance analysis further concluded that Neural Network could be the best algorithm to rate the service quality of E-Commerce websites.

A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent

Web services discovery provided by the UDDI registries is relatively primitive. It does not take into account the continuous growth in the number of services on the Web. The UDDI standard has been proposed and used for Web service publication and discovery. However, it does not allow users to choose the best provider. It does not offer a mechanism to choose a Web service based on its quality. The standard also lacks of sufficient semantic description in the content of Web services, this lack makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. In addition, a central UDDI suffers from one centralized point problem and the high cost of maintenance. To get around these problems, the authors propose in this paper a novel framework based on mobile agent and metadata catalogue for Web services discovery. Their approach is based on user profile in order to discover appropriate Web services, meeting customer requirements, in less time and taking into account the QoS properties.

A Unique Approach to Implement Semantic Web

discovery mechanisms of web services in the UDDI registries currently are not up to mark of Industry standards. UDDI provides the interface keyword and taxonomy based search mechanism. UDDI refers exact keyword matching discovery mechanism. If the consumer searches for any keyword like Apartment, the service provider registered under the tag flat will not be shown to the end user. Additionally there is possibility that existing taxonomies might not be appropriate enough, extracting very long result lists may not really help. The main issue is lack of semantics. XML Topic Maps as a representative of Semantic Web may help to improving the discovery mechanism. The present work defines the stated problem and as of my knowledge provides a new solution to the current problem. Our main aim is to show how XML Topic Maps can be used as tool to represent and organize knowledge out of specific domain, in our case bioinformatics. XML Topic Maps will give the advantages to requestor, who needs to find some location of unknown web service or resource. A prototypical Topic Map a sub domain of Gene Ontology. It will be developed and after implementation it will be shown that how the representation of knowledge can be linked to UDDI. The XML Topic Map can be navigated in different ways. It reaches the aim and discovers previously unknown resource. XTM can be used for building knowledge base mechanism. To navigate through the user need to use a particular term. Once a unique term is assigned a large number of external useful information resources is also added to it. The most important aspect is that due to the continuous evolution of Gene Ontology the XTM documentation has to be maintained permanently. At the end it was concluded that refering directly to the location of WSDN file and doing job without UDDI will not be feasible.

Unified Collaborative and Content-Based Web Service Recommendation

The last decade has witnessed a tremendous growth of web services as a major technology for sharing data, computing resources, and programs on the web. With increasing adoption and presence of web services, designing novel approaches for efficient and effective web service recommendation has become of paramount importance. Most existing web service discovery and recommendation approaches focus on either perishing UDDI registries, or keyword-dominant web service search engines, which possess many limitations such as poor recommendation performance and heavy dependence on correct and complex queries from users. It would be desirable for a system to recommend web services that align with users’ interests without requiring the users to explicitly specify queries. Recent research efforts on web service recommendation center on two prominent approaches: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">collaborative filtering</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> content-based recommendation</i> . Unfortunately, both approaches have some drawbacks, which restrict their applicability in web service recommendation. In this paper, we propose a novel approach that unifies collaborative filtering and content-based recommendations. In particular, our approach considers simultaneously both rating data (e.g., QoS) and semantic content data (e.g., functionalities) of web services using a probabilistic generative model. In our model, unobservable user preferences are represented by introducing a set of latent variables, which can be statistically estimated. To verify the proposed approach, we conduct experiments using 3,693 real-world web services. The experimental results show that our approach outperforms the state-of-the-art methods on recommendation performance.

QOS Aware Formalized Model for Semantic Web Service Selection

Selecting the most relevant Web Service according to a client requirement is an onerous task, as innumerous number of functionally same Web Services(WS) are listed in UDDI registry. WS are functionally same but their Quality and performance varies as per service providers. A web Service Selection Process involves two major points: Recommending the pertinent Web Service and avoiding unjustifiable web service. The deficiency in keyword based searching is that it doesn’t handle the client request accurately as keyword may have ambiguous meaning on different scenarios. UDDI and search engines all are based on keyword search, which are lagging behind on pertinent Web service selection. So the search mechanism must be incorporated with the Semantic behavior of Web Services. In order to strengthen this approach, the proposed model is incorporated with Quality of Services (QoS) based Ranking of semantic web services. This paper focuses on various concepts of Quality of Service associated with web services. Various QoS parameters like performance, availability, reliability and stability etc. are formalized in order to enhance the pertinence of web service selection. A QoS mediator agent based Web Service Selection Model is proposed where QoS Consultant acts as a Mediator Agent between clients and service providers. Model suggests user’s preferences on QoS parameter selection. The proposed model helps to select pertinent Web Service as per user’s requirement and reduce the human effort.. Further process of adding ontology with semantic web services is also illustrated here.

SEMANTIC ENHANCED UDDI USING OWL-S PROFILE ONTOLOGY FOR THE AUTOMATIC DISCOVERY OF WEB SERVICES IN THE DOMAIN OF TELECOMMUNICATION

The current web services which are evolved in the telecom domain such as payment web services, Yellow pages web services, operator web services, weather web services are failed to bring down the semantic as they used to prove its syntactic description. The reason for bringing down the semantic description into already existing web services will invoke certain operations like automatic discovery of web services, automatic composition of the necessary services, automatic invocation of web services and automatic monitoring of the execution process. At present the web services in the domain of telecommunication is following the parlay X standard. The parlay X has given a set of standard web service API’s for the telecom. The each of the services will have its own interface, services and types In this study in order to bring down the semantic representation we have proposed an idea to enable the semantic through the upper ontology like OWL-S and then how to map OWL-S to UDDI registry and also we have discussed some of the issues that we have faced while mapping OWL-S into UDDI registry. So the approach which we are going to propose improves the accuracy of the telecommunication network services description, discovery and matching, unifies the semantic representation of telecommunications network and Internet services.

Semantics and OWL in UDDI Registry: Improving the Discovery Process of Web Services

The discovery process of web services becomes a problem in terms of finding the most appropriate service in that huge set of various items published throughout the web. In this paper we will describe some of the existing mechanisms, which come as proposals for improving the discovery process of web services. By using one of these approaches, we will propose a semantic-based architecture, composed of many collaborating elements and then we will show a part of the implementation of the matching algorithm, between the user request and the published services. This matching is based on the ontological description of services and will be done by using the owl semantic specification. DOI: 10.5901/ajis.2014.v3n1p341

Enhanced lbs discovery in a decentralized registry based web services environment

Location Based Services (LBS) is the most happening thing in the mobile industry today. Everybody is trying to generate revenue from location based services. Mobile phone manufacturers are developing new smart phones every day and network providers are offering high speed data connections. Several LBS providers and applications are available in the market but the major problem is service provider dependency. This paper gives an overview of a decentralized registry based architecture using web services technology which facilitates dynamic discovery, interoperability and provider independence. The web services technology uses UDDI registry service for publishing and discovering services but the discovery results obtained are not reliable as the service discovery considers only static service description. This paper contributes to enhancing LBS discovery by considering service dynamics and expanding LBS discovery process to neighboring locations.

Advanced Profile Similarity to Enhance Semantic Web Services Matching

In this paper, we present a fine-grained matching method of the services based on a hybrid similarity measure. We propose a novel encoding of the services descriptions, allowing the match between a request and an advertisement in order to make more efficient publishing and searching process of Web services and reduce the number of comparisons required. By this kind of similarity between concepts of profile, a precise matching method is developed to match the profile of the Web services and user. Searching process in the UDDI registry is done via an algorithm that allows us to extract the search concepts and retrieve the top-k services, thereby further reducing the search engine's response time. The approach is illustrated through some experiments both on real and synthetic data to demonstrate its consistency and effectiveness.

On Classification of Web Services Using Fuzzy Expert System

The evolution of the Internet from static Web pages into dynamic Web services raises a serious challenge of locating desired Web services. One possible way for Web services discovery is to classify Web services into different categories when they are published in a UDDI registry. This paper proposes a knowledge-based solution to the problem through the use of fuzzy expert systems. Our system automatically classifies Web services into specific domains through identifying key concepts/operations inside service textual documentations, and hence builds a lattice of classes of similar Web services. Results obtained by the system are compared with those computed by alternative methods.

On Classification of Web Services Using Fuzzy Expert System

The evolution of the Internet from static Web pages into dynamic Web services raises a serious challenge of locating desired Web services. One possible way for Web services discovery is to classify Web services into different categories when they are published in a UDDI registry. This paper proposes a knowledge-based solution to the problem through the use of fuzzy expert systems. Our system automatically classifies Web services into specific domains through identifying key concepts/operations inside service textual documentations, and hence builds a lattice of classes of similar Web services. Results obtained by the system are compared with those computed by alternative methods.

Service Selection Based On Behavior Matching

Service selection is a key step in the service composition process. The selection mainly depends on the search function of UDDI. However, UDDI provides poor search facilities: it allows only a keyword based search of web services. Such kind of the keyword search method can not capture the underlying semantics of web services, and thus can not protect us from obtaining bad services since UDDI registry contains checked and unchecked services. In this paper, based on the formalized Service Component Architecture (SCA) model in our previous work and the enhanced service publishing framework by OASIS, we present behavior based service selection technique. By plugging our selection algorithm to IBM WebSphere Process Server, which is based on the SCA, the web services binding can be automatically completed in the running time. BPEL has been used to describe service composition.

Quality-of-Service Based Web Service Composition and Execution Framework

Software is gradually becoming more built by composing web services to support enterprise applications integration; thus, making the process of composing web services a significant topic. The Quality of Service (QoS) in web service composition plays a crucial role. As such, it is important to guarantee, monitor, and enforce QoS and ability to handle failures during execution. Therefore, an urgent need exists for a dynamic Web Service Composition and Execution (WSCE) framework based on QoS constraints. A WSCE broker is designed to maintain the following function: intelligent web service selection decisions based on local QoS for individual web service or global QoS based selection for composed web services, execution tracking, and adaptation. A QoS certifier controlled by the UDDI registry is proposed to verify the claimed QoS attributes. The authors evaluate the composition plan along with performance time analysis.

Design and Implementation of UDDI Registry Center

The Key of Web Services lies in how to describe and find Web serve, and which is mainly realized depending on UDDI technology is realized. The company which provided the services by UDDI can register information, it can make the potential user and/or cooperative partner find the services and simple shelf of the business of these companies. At the same time, UDDI can make company find other company, so as to expand the potential business partnership. We can say UDDI has offered the chance for company to step into new market and service, also make the companies in all scales expand their own place business among the global market rapidly.

A QoS Driven Web Service Composition Method Based on ESGA (Elitist Selection Genetic Algorithm) with an Improved Initial Population Selection Strategy

With more and more web services being applied, the quality of service (QoS) becomes an important criterion in a service selection. We propose a UDDI process with QoS extension to support quality requests. Service providers can send functional and QoS information to the UDDI registry. As a component of the UDDI registry, the QoS calculator calculates the QoS value of each service to decide the optimal service and send the information back to the UDDI registry. After receiving the requestor's feedback, the QoS calculator re-calculates QoS of the service. In a service composition, component services and the composed service should satisfy local and global restrictions respectively. The QoS of component services aggregate to QoS of the composed service according to an aggregation rule. The QoS parameters may conflict with each other, so this problem is actually a multi-objective optimization. A service selection can be seen as a path formation and each node of the path is a service class. A genetic algorithm can be used to solve complicated global optimization problems. It is proved that a simplex genetic algorithm cannot converge to optimal global solution but the elitist selection genetic algorithm (ESGA) can. So we use ESGA to solve this problem. We use integer encoding as the encoding rule. A composed service can be seen as a chromosome and a gene is an integer that represents a service number in its service class. We use an initial population selection strategy instead of the random initial population creation method. In the strategy, if the fitness of a new composed service is worse than the average fitness of the selected composed services, it should be abandoned, otherwise it should be kept. We coordinate these objectives by assigning a weight to each parameter and the fitness function is the weighted sum of QoS parameters. In the stage of genetic operation, the penalty function is subtracted from the fitness of the composed service if it does not satisfy the restrictions. We use the roulette wheel selection method, single point crossover operator, and uniform mutation operator as genetic operators. It is shown that this method has better performance than the method using ESGA through an experiment.

Result Refinement in Web Services Retrieval Based on Multiple Instances Learning

Web services retrieval is a critical step for reusing existing services in the SOA paradigm. In the UDDI registry, traditional category-based approaches have been used to locate candidate services. However, these approaches usually achieve relatively low precision because some candidate Web Services in the result set cannot provide actually suitable operations for users. In this article, we present a new approach to improve this kind of category-based Web Services retrieval process that can refine the coarse matching results step by step. The refinement is based on the idea that operation specification is very important to service reuse. Therefore, a Web Service is investigated via multiple instances view in our approach, which indicates that a service is labeled as positive if and only if at least one operation provided by this service is usable to the user. Otherwise, it is labeled as negative. Experimental results demonstrate that our approach can increase the retrieval precision to a certain extent after one or two rounds of refinement.

Easy web service discovery: A query-by-example approach

Web services have acquired enormous popularity among software developers. This popularity has motivated developers to publish a large number of Web service descriptions in UDDI registries. Although these registries provide search facilities, they are still rather difficult to use and often require service consumers to spend too much time manually browsing and selecting service descriptions. This paper presents a novel search method for Web services called WSQBE that aims at both easing query specification and assisting discoverers by returning a short and accurate list of candidate services. In contrast with previous approaches, WSQBE discovery process is based on an automatic search space reduction mechanism that makes this approach more efficient. Empirical evaluations of WSQBE search space reduction mechanism, retrieval performance, processing time and memory usage, using a registry with 391 service descriptions, are presented.

Architecture of service-oriented applications

This paper considers the design principles of service-oriented architecture (SOA), its preconditions, and the technological aspects of architecture construction: Web-services technology, the SOAP and WSDL languages, and the UDDI registry. The advantages and prospects of SOA are summed up.