Abstract
Web Services has instigated it's transcend and now education has been made simple through Web Services. With the advent of Web Services, education has become far more personal, flexible and available across global borders. Workflow is a sequence of business tasks to be realized for the execution of user' request. Identifying required e-learning web services and dynamic composition and realization of those services is a challenging process. In this study we have suggested e-learning services workflow composing architecture and relevant algorithms for matching and composing e-learning flow for the learners with different learning styles. We suggested non logic based hybrid matching and composing algorithms which uses OWL-S profile and process ontologies for dynamic workflow composition of e-learning web services.
Highlights
Web 1.0 was more towards presenting content over Internet rather than providing user generated content
In this study we have proposed an work flow composition architecture and non logic based hybrid matching and composing technique which uses IOPE (Input, Output, Preconditions and Effect) as well as text description for matching candidate elearning web services using on OWL-S
Semantic matching Learner Service Template (LST) with existing Learning Service Object (LSO): Ontology operations such as ontology alignment, ontology mapping and ontology matching and Ontology integration are very much useful to unfold the research in the fields like data integration, peer to peer systems, e-commerce, information retrieval and query answering, as well as in social networks. Among these ontology operation we have considered ontology matching to find the similarity between two service profile ontologies
Summary
Web 1.0 was more towards presenting content over Internet rather than providing user generated content. It defines complete description frameworks for describing Web Services and related aspects It supports ontologies as underlying data model to allow machine supported data interpretation and define semantically driven technologies for automation of the discovery, integration and composition of web services and their usage process. From the information collated in table we can ensure that OWL-S based e-learning composition framework has not yet been addressed elaborately
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Research Journal of Applied Sciences, Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
