File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A Review on the Integration of Deep Learning and Service-Oriented Architecture

TitleA Review on the Integration of Deep Learning and Service-Oriented Architecture
Authors
Issue Date2021
PublisherIGI Global. The Journal's web site is located at http://www.idea-group.com/journals/details.asp?id=198
Citation
Journal of Database Management, 2021, v. 32 n. 3, p. 95-119 How to Cite?
AbstractIn recent years, machine learning has been used for data processing and analysis, providing insights to businesses and policymakers. Deep learning technology is promising to further revolutionize this processing leading to better and more accurate results. Current trends in information and communication technology are accelerating widespread use of web services in supporting a service-oriented architecture (SOA) consisting of services, their compositions, interactions, and management. Deep learning approaches can be applied to support the development of SOA-based solutions, leveraging the vast amount of data on web services currently available. On the other hand, SOA has mechanisms that can support the development of distributed, flexible, and reusable infrastructures for the use of deep learning. This paper presents a literature survey and discusses how SOA can be enabled by as well as facilitate the use of deep learning approaches in different types of environments for different levels of users.
Persistent Identifierhttp://hdl.handle.net/10722/308248
ISSN
2023 Impact Factor: 1.3
2023 SCImago Journal Rankings: 0.536
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFantinato, M-
dc.contributor.authorPeres, SM-
dc.contributor.authorKafeza, E-
dc.contributor.authorChiu, KWD-
dc.contributor.authorHung, PC-
dc.date.accessioned2021-11-12T13:44:34Z-
dc.date.available2021-11-12T13:44:34Z-
dc.date.issued2021-
dc.identifier.citationJournal of Database Management, 2021, v. 32 n. 3, p. 95-119-
dc.identifier.issn1063-8016-
dc.identifier.urihttp://hdl.handle.net/10722/308248-
dc.description.abstractIn recent years, machine learning has been used for data processing and analysis, providing insights to businesses and policymakers. Deep learning technology is promising to further revolutionize this processing leading to better and more accurate results. Current trends in information and communication technology are accelerating widespread use of web services in supporting a service-oriented architecture (SOA) consisting of services, their compositions, interactions, and management. Deep learning approaches can be applied to support the development of SOA-based solutions, leveraging the vast amount of data on web services currently available. On the other hand, SOA has mechanisms that can support the development of distributed, flexible, and reusable infrastructures for the use of deep learning. This paper presents a literature survey and discusses how SOA can be enabled by as well as facilitate the use of deep learning approaches in different types of environments for different levels of users.-
dc.languageeng-
dc.publisherIGI Global. The Journal's web site is located at http://www.idea-group.com/journals/details.asp?id=198-
dc.relation.ispartofJournal of Database Management-
dc.rightsJournal of Database Management. Copyright © IGI Global.-
dc.titleA Review on the Integration of Deep Learning and Service-Oriented Architecture-
dc.typeArticle-
dc.identifier.emailChiu, KWD: dchiu88@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.4018/JDM.2021070105-
dc.identifier.hkuros329546-
dc.identifier.volume32-
dc.identifier.issue3-
dc.identifier.spage95-
dc.identifier.epage119-
dc.identifier.isiWOS:000745619600005-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats