Loading

Research on E-Science – Serverless Semantic E-Science Framework (SSE-SF)
T. Rubin Jose1, P. Sojan Lal2

1Rubin Thottupurathu Jose, SOCS, School of Computer Sciences, M G University, Kottayam (Kerala), India.
2Dr. Sojan Lal Poulose, Principal, MBITS, Mar-Baselious Institute of Technology and Science, (Kerala), India.
Manuscript received on 23 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1231-1235 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12300782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1230.0782S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Serverless implementation for a semantic e-science framework (SSe-SF) is all about pushing code to a compute service and networking with third party services and APIs to get the work done. The underlying infrastructure both hardware and software are hidden from the user. Serverless semantic e-science framework (SSe-SF) includes Knowledge Search and Navigation, Identity Management, URI/ Content Negotiation, RDF & RDF Schema annotated information resources, Shared Ontologies, Read-only Onto-Repository & Vocabulary, Onto-learning and merging, Semantic reasoners and Semantic data storage. SSe-SF is applied on computing the Outcome bases education attainment (OBE) calculation.
Keywords: Semantic Web, Escience, Ontology, Serverless Architecture, Scientific Data Representation, Ontology Engineering, Linked Data.
Scope of the Article: Patterns and Frameworks