doi: 10.18178/ijfcc.2016.5.4.466
Subsequence-Based Dynamic Web Service Composition
Ping Liang
,
Sartra Wongthanavasu
- Computer Science Department of Khon Kaen University, Khon Kaen, 40000, Thailand.
Abstract
Semantic web services are broadly applied inintelligent heterogeneous web. Particularly with thedevelopment of the Internet of Things (IoT), countless internaland external data are available which need web services to getbundled and processed. For many proprietary organizations,semantic service ontology or Universal Description, Discovery,and Integration (UDDI) for Web Services DescriptionLanguage (WSDL) is designed to orchestrate services.Annotation has been used as rules to create semantics ontologyor descriptive logic of execution schema for intelligent learning.It is not flexible enough due to the reason that the currentannotation or BPEL-based process definitions are based oncontext-related domain knowledge or QoS requirements. Amore flexible method for dynamic composition is needed toaddress user' arbitrary requests. This paper is to propose acontext-free sequence-based method to automate thecomposition of semantic web services. Its basic approach is tocollect bags of services which logic relation is defined by thekeywords of user query. Then the common services are foundand we use the subsequence algorithm to find a shortest pathfrom the connected services of two bags to fulfill the user query.The found sequence of web services can be automaticallyexecuted by the framework of Spring+RESTFul. The dynamicweb service composition is completed in an unsupervised way.
Keywords
- Subsequence
- dynamic composition
- composition automation
- semantic web service
How to Cite
Ping Liang and Sartra Wongthanavasu, "Subsequence-Based Dynamic Web Service Composition," International Journal of Future Computer and Communication, vol. 5, no. 4, pp. 172-175, 2016. https://doi.org/ 10.18178/ijfcc.2016.5.4.466
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).