Validation and Recommendation Engine from Service Architecture and Ontology
Daniel Mercier, Anthony Ruto
2019
Abstract
The Cloud has emerged as a common platform for data convergence. Structured data, unstructured, serialized, or even chunks of data in various formats are now being transferred, processed, and exchanged by a multitude of services. New applications, service-oriented, rely heavily on the managing of these flows of data. The situation is such, that the perspective is changing, placing data at the center. In this context, end-users must rely on new derivative services to validate these flows of information; and expect from these services accurate feedback and some degree of intelligent recommendations. In this article, we introduce a new validation and recommendation engine encapsulated in a service, backed by ontology and a knowledge structure based on reusable components for fast integration and increased resilience.
DownloadPaper Citation
in Harvard Style
Mercier D. and Ruto A. (2019). Validation and Recommendation Engine from Service Architecture and Ontology. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD; ISBN 978-989-758-382-7, SciTePress, pages 266-273. DOI: 10.5220/0008070602660273
in Bibtex Style
@conference{keod19,
author={Daniel Mercier and Anthony Ruto},
title={Validation and Recommendation Engine from Service Architecture and Ontology},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={266-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008070602660273},
isbn={978-989-758-382-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD
TI - Validation and Recommendation Engine from Service Architecture and Ontology
SN - 978-989-758-382-7
AU - Mercier D.
AU - Ruto A.
PY - 2019
SP - 266
EP - 273
DO - 10.5220/0008070602660273
PB - SciTePress