Collaborative Web Service Discovery and Recommendation Based on Social Link

Duan, Lijun; Tian, Hao

doi:10.3390/fi9040063

Cited by 14 publications

(4 citation statements)

References 11 publications

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“…On the other hand, next-generation systems are expected to grow more rapidly with no centrally-control, and no specific message type to be used. By the release of central control over the system has the potential to release an innovation for the future business process [8], [11], [15], [17].…”

Section: Adaptive Interoperability Communicationsmentioning

confidence: 99%

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A Comprehensive Comparative Study of MOM for Adaptive Interoperability Communications in Service Oriented Architecture

Ibrahim¹,

Hassan²

2019

IJTSRD

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Numerous software platforms have developed to support several application systems with a variety of techniques and solution. The communications between those platforms are required to ensure tasks distributed across different application systems. The collaboration between distinct application systems to grow, in tandem with the growth of SOA in which the resources of each SOA application might be developed and implemented using different standard and specification. Within this context, interoperability communications is significant to consolidate the optimization of these resources. Additionally, identifying the requirements attribute related to interoperability communications are the first step required in the development of interoperability communications. MOM can be considered as a tool for enabling the communications between distributed applications where the transaction or event notifications are delivered between distributed applications through the message. MOM provides a program-toprogram connection by message passing. Most of the MOM environments are implemented using queued message store-and-forward capability, which is Message Queuing Middleware (MQM). In addition, an adaptive interoperability communications can be defined as the computer system that enables selfcoordination to distribute computing resources and an adaptive to the new environment while hiding fundamental complexity from the operators and users. The intelligent system has the capability of self-management to overcome the rapidly growing complexity in computing systems. The system makes decisions on its own by using the rules that have been identified. Intelligent system also provides an adaptive and dynamic environment for the process of communication. The framework of an intelligent system, fundamentally consists of intelligent elements. Each element performs a fixed function and interacting with other elements in a very dynamic environment.

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Section: Adaptive Interoperability Communicationsmentioning

confidence: 99%

“…An agent-based system has the ability to assess its environment and takes actions to achieve some specified goals [10]. Without the adaptive system, each application is required to wait for a respond from a partner application to complete the communication process [11].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Comparative Study of MOM for Adaptive Interoperability Communications in Service Oriented Architecture

Ibrahim¹,

Hassan²

2019

IJTSRD

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“…Additionally, the numbers and requirements of users are increased [1]. The research that focuses on retrieving the most relevant Web services to meet the specific user's requirements has received a large amount of attention [2], and it has triggered a considerable amount of effort [3], [4]. Among these studies, service discovery is becoming a critical issue in developing software applications.…”

Section: Introductionmentioning

confidence: 99%

“…(2) How does the method learn the matching relationships between the descriptions of the service and queries at a lexical level during the service discovery process? (3) What refinements can be made to improve the performance for service discovery according to the specific characteristics of the neural matching models? To answer these questions, this study develops a service discovery method that combines the Embeddings from Language Models (ELMo) representation and Convolutional Neural Network (CNN) to obtain accurate similarity scores for retrieving the optimal target Web services.…”

Section: Introductionmentioning

confidence: 99%

Combination of ELMo Representation and CNN Approaches to Enhance Service Discovery

Huang

Zhao

2020

IEEE Access

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With the rapid growth of Web services, the demand for discovering the optimal services to satisfy the users' requirements is no longer an easy task. The critical issue in the process of service discovery is to conduct a similarity calculation. To solve such an issue, this study proposes an effective approach that combines the Embeddings from Language Models (ELMo) representation and Convolutional Neural Network (CNN) to obtain a more accurate similarity score for retrieving target Web services. More specifically, first, the study adopts the ELMo model to generate effective word representations for capturing the sufficient information from services and queries. Then, the word representations are used to compose a similarity matrix, which will be taken as the input for the CNN to learn the matching relationships. Finally, the combination of the ELMo representation and CNN is used to address the representation and interaction processes within the matching task to improve the service discovery performance. The results demonstrate the effectiveness of our proposed approach for retrieving better targeted Web services.

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