JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain

Edward Blurock

2023

Abstract

JThermodynamicsCloud is software service for the combustion research domain to perform thermdynamic calculations and manage the data needed to make those calculations. The JThermodynamicsCloud service can be said to be a model driven application, where the ontology is a platform independent model of the data and operational structures. All the ontology concepts outlined here, from the ontology definition to the utilization of this definition in the application, have been implemented. The ontology, as used by the service, has three distinct purposes: documentation, data structure definition and operational definitions. One goal of the ontology is to place as much of the design and domain specific structures in the ontology rather than in the application code. The calculation itself is highly dependent on the varied types of molecular data found in the database The complete service is a system with three interacting components, a user interface using Angular, a (RESTful) backend written in JAVA (with the JENA API interpreting the ontology) and the Google Firestore noSQL document database and Firebase storage.

Paper Citation

in Harvard Style

Blurock E. (2023). JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 288-295. DOI: 10.5220/0012254700003598

in Bibtex Style

@conference{keod23,
author={Edward Blurock},
title={JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012254700003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain
SN - 978-989-758-671-2
AU - Blurock E.
PY - 2023
SP - 288
EP - 295
DO - 10.5220/0012254700003598
PB - SciTePress