A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation

Agarwal, Nidhi; Sikka, Geeta; Awasthi, Lalit Kumar

doi:10.1016/j.cosrev.2022.100498

Cited by 19 publications

(6 citation statements)

References 62 publications

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“…Service clustering is commonly used to efficiently discover interested ones from huge number of existing services. The currently research on service clustering mainly focuses on the semantic information extraction from the service description, vectorization representation, and similarity calculation [10]. The SFV obtained from the service description directly impact the performance of service clustering.…”

Section: Related Workmentioning

confidence: 99%

“…For new nodes, the edge weight between them is set to 1. The adjacency matrix A and node feature matrix VF of graph G are constructed in line (10) to line (14). Then, we use GCN to compute the parameters μ and σ of the Gaussian distribution, and sample in the Gaussian distribution to obtain the parameter ϵ (line (15) to line ( 18)).…”

Section: ( ) (mentioning

confidence: 99%

“…D(s) is assigned as the minimum distance between the service s and the center service in its nearest cluster in line (8). The service selection probability based on maximum distance is provided to obtain the next center service by the Roulette method in line (9) to line (10). After obtaining the initial center services, the Algorithm 3 (line (12) to line ( 20)) generates the k service clusters.…”

Section: Web Service Clustering Algorithm Based On K-means++mentioning

confidence: 99%

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A Method to Enhance Web Service Clustering by Integrating Label-Enhanced Functional Semantics and Service Collaboration

Liu,

Wang,

et al. 2024

IEEE Access

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In Web service clustering, the service function vector (SFV) directly determines the quality of service (QoS) clustering. To improve service clustering performance, a method is proposed in this paper by integrating label-enhanced functional semantics and service collaboration. It improves the SFV from three aspects: generation model, corpus, and structural auxiliary information. At the generation model level, a Sentence-BERT is constructed based on singular value decomposition (SVD), to alleviate the anisotropy problem of BERT in vectorizing service descriptions. For corpus, the semantic features of SFV are supplemented by extracting specific named entities from service descriptions. Meanwhile, the service collaboration graph is established according to the collaboration relationship among Web services, which is conducive to the variational graph auto-encoders (VGAE) to realize service collaboration feature aggregation and further improve the SFV. Experiments show that the improved model, corpus and structural auxiliary information effectively enhance the SFV clustering. The proposed Web service clustering method is superior to the state-of-the-art methods.

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Section: Related Workmentioning

confidence: 99%

Section: ( ) (mentioning

confidence: 99%

Section: Web Service Clustering Algorithm Based On K-means++mentioning

confidence: 99%

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A Method to Enhance Web Service Clustering by Integrating Label-Enhanced Functional Semantics and Service Collaboration

Liu,

Wang,

et al. 2024

IEEE Access

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“…Measures are typically associated with exploiting vulnerabilities in the system that allow intruders to enter the network and distribute personal data, rejection-service attacks with spying sort of works [18]. Machine automation in safety digitization is yet an innovative field, but they are impelling cyber forensic study into a new example of active defense.…”

Section: Introductionmentioning

confidence: 99%

Adaptation issues of machine learning in safety digitization

Panigrahi

Barpanda

Anitha³

et al. 2023

IJEECS

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<span lang="EN-US">The internet community is the only set of irreplaceable spaces in today’s world and is used by millions for knowledge acquittance via the digital exchange between the landed gentry. The torrent of available e-contents in the Internet community attracts corporates and researchers to find the factual weightage of formed data. It is high time for digital diversification, which is the objective of using various learning-based machine learning (ML) systems for hands-on fortification. The main idea is to make stylistic communication more understandable. Here, the authors try to adapt the factual weightage procedure of formed data through the Internet community using machine learning schemes. Hence, the authors have chosen to emphasize cyber security, which is not well discussed and concerned with ethical contemplation from hackers' forums amidst internet communities. There are disparities in the continual growth of connotations, acronyms, spellings, and even technical jargon, which need periodic re-learning and their prototype implications through the proposed model.</span>

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“…A web application makes use of a very diverse set of technologies. PHP [2], XML [3], web services [4], MySQL and databases [5], authentication, encryption, HTTP, security, JavaScript [6], Ajax [7], XHTML [8], and standards are all terms relating to one or more technologies more or less different from each other, and which nevertheless interact with each other. The growing difficulty of designing web applications has given rise to solutions and tools.…”

Section: Introductionmentioning

confidence: 99%

Approach by modeling to generate an e-commerce web code from laravel model

Rahmouni

Bouzaidi

Mbarki

2023

IJEECS

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The world of web is constantly evolving. Today, we no longer speak of a website but of a web application. The growing difficulty of designing web applications has given rise to solutions and tools. The framework is one of them. Providing a serious framework for development by offering strict development rules, as well as generic and out-of-the-box components, PHP laravel framework is one of them. This paper aims to present the different stages of modeling and development of an enterprise resource planning (ERP) system that will be implemented by PHP laravel by defining the main concepts involved in this information system modeling and development process. To lead and implement the end-to-end development of the said system, we apply the model-driven architecture (MDA) approach. This approach is based on atlas transformation language (ATL). The result of this paper is an Ecore file, a reliable MVC2 web model of e-commerce ERP, which will be the input file to generate the aforementioned system code. To validate this approach, we implemented a case study. The result of this work is very satisfying. Thus, we arrived to generate all necessary elements for this ERP code generation by respecting the MVC2 model and the PHP coding.

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A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation

Cited by 19 publications

References 62 publications

A Method to Enhance Web Service Clustering by Integrating Label-Enhanced Functional Semantics and Service Collaboration

A Method to Enhance Web Service Clustering by Integrating Label-Enhanced Functional Semantics and Service Collaboration

Adaptation issues of machine learning in safety digitization

Approach by modeling to generate an e-commerce web code from laravel model

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