A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation
With the advancement of web 2.0 and the development of the Internet of Things (IoT), all
tasks can be handled with the help of handheld devices. Web APIs or web services are …
tasks can be handled with the help of handheld devices. Web APIs or web services are …
Exploring Reliable Decentralized Networks with Smart Collaborative Theory
The Internet of Things (IoT) is supposed to bridge diversiform service functions and
heterogeneous network components. Although the Web3 and blockchain have been …
heterogeneous network components. Although the Web3 and blockchain have been …
bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery
Web service discovery is a fundamental task in service-oriented architectures which
searches for suitable web services based on users' goals and preferences. In this paper, we …
searches for suitable web services based on users' goals and preferences. In this paper, we …
Semantic service clustering with lightweight bert-based service embedding using invocation sequences
K Zeng, I Paik - IEEE Access, 2021 - ieeexplore.ieee.org
Service clustering is an efficient method for facilitating service discovery and composition.
Traditional approaches based on the self-description documents for services usually utilize …
Traditional approaches based on the self-description documents for services usually utilize …
A web service clustering method based on semantic similarity and multidimensional scaling analysis
C Shan, Y Du - Scientific Programming, 2021 - Wiley Online Library
Clustering web services is an effective method to solving service computing problems. The
key insight behind it is to extract the vectors based on the service description documents …
key insight behind it is to extract the vectors based on the service description documents …
Web service embedding: Representing the invocation association between services with practical-valued vectors
K Zeng, I Paik - Expert Systems with Applications, 2024 - Elsevier
Abstract Service representation using specified methods to express the service's
functionalities and non-functionalities in a machine-understandable format is crucial in …
functionalities and non-functionalities in a machine-understandable format is crucial in …
Hierarchical services of convolutional neural networks via probabilistic selective encryption
Model protection is vital when deploying Convolutional Neural Networks (CNNs) for
commercial services, due to the massive costs of training them. In this work, we propose a …
commercial services, due to the massive costs of training them. In this work, we propose a …
Restful api analysis, recommendation, and client code retrieval
SP Ma, MJ Hsu, HJ Chen, CJ Lin - Electronics, 2023 - mdpi.com
Numerous companies create innovative software systems using Web APIs (Application
Programming Interfaces). API search engines and API directory services, such as …
Programming Interfaces). API search engines and API directory services, such as …
A method to enhance Web service clustering by integrating label-enhanced functional semantics and service collaboration
Q Liu, L Wang, S Du, BJ Van Wyk - IEEE Access, 2024 - ieeexplore.ieee.org
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 …
service (QoS) clustering. To improve service clustering performance, a method is proposed …
MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation
In service recommender system, graph neural networks (GNNs) perform message passing
through diffusion mechanism based on user-service relationship graph. However, existing …
through diffusion mechanism based on user-service relationship graph. However, existing …