Web services classification based on wide & Bi-LSTM model

H Ye, B Cao, Z Peng, T Chen, Y Wen, J Liu - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid growth of Web services on the Internet, it becomes a great challenge for Web
services discovery. Classifying Web services with similar functions is an effective method for …

Web services clustering via exploring unified content and structural semantic Representation

G Kang, J Liu, Y **ao, Y Cao, B Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Clustering Web services can improve the quality and efficiency of service discovery and
management within a service repository. Nowadays, Web services frequently interact (eg …

Grassnet: Graph soft sensing neural networks

Y Huang, C Zhang, J Yella, S Petrov… - … Conference on Big …, 2021 - ieeexplore.ieee.org
In the era of big data, data-driven based classification has become an essential method in
smart manufacturing to guide production and optimize inspection. The industrial data …

Co-attentive representation learning for web services classification

B Tang, M Yan, N Zhang, L Xu, X Zhang… - Expert Systems with …, 2021 - Elsevier
The rapid adoption of services-related technologies, such as cloud computing, has lead to
the explosive growth of web services. Automated service classification that groups web …

Multi-aspect oriented sentiment classification: prior knowledge topic modelling and ensemble learning classifier approach

N AlGhamdi, S Khatoon, M Alshamari - Applied Sciences, 2022 - mdpi.com
User-generated content on numerous sites is indicative of users' sentiment towards many
issues, from daily food intake to using new products. Amid the active usage of social …

LDNM: a general web service classification framework via deep fusion of structured and unstructured features

Y **ao, J Liu, G Kang, B Cao - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Classifying Web services plays a critical role in several fundamental service management
tasks, such as service discovery, selection, ranking, and recommendation. However …

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 …

Relationship network augmented web services clustering

Y Cao, J Liu, M Shi, B Cao, X Zhang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Clustering Web services can promote the quality of services discovery and management
within a service repository. Traditional clustering methods primarily focus on using the …

Sc-gat: Web services classification based on graph attention network

M Peng, B Cao, J Chen, J Liu, B Li - … 16–18, 2020, Proceedings, Part I 16, 2021 - Springer
The classification of Web services with high similarity is conducive to the promotion for
service management and service discovery. With the increasing number of Web services …

Topic-aware web service representation learning

M Shi, Y Tang, X Zhu, J Liu - ACM Transactions on the Web (TWEB), 2020 - dl.acm.org
The advent of Service-Oriented Architecture (SOA) has brought a fundamental shift in the
way in which distributed applications are implemented. An overwhelming number of Web …