Toward a Domain Ontology for Computer Projects Resolution: Project Memory Challenge

Raja Hanafi, Lassad Mejri, Henda Hajjami Ben Ghezala

2018

Abstract

In recent years, the project management has been practiced in many special computer projects which took place in large companies. During the resolution of a project especially during the design phase, the project leaders have encountered many problems which are treated and solved in the already existing projects. The resolution of a similar new project forces project leaders to spend a lot of time accessing and reusing existing project knowledge. This is why the problem of capitalization of knowledge proves to be very important in order to solve the problem of time, of cost and of quality that a project manager can encounter during his resolution. The best solution is to propose a technique for memorizing and saving knowledge. This solution presents in a way the project memory. In literature, there are several approaches that are all about the capitalization of knowledge and the construction of project memory. All these approaches are generic models which are applied to any type of project such as the industrial and the technical project. In this paper, we present a model approach for a project memory. In practice, this challenge is addressed by proposing the domain ontology that characterizes the specification of computer project.

Paper Citation

in Harvard Style

Hanafi R., Mejri L. and Ghezala H. (2018). Toward a Domain Ontology for Computer Projects Resolution: Project Memory Challenge. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 247-254. DOI: 10.5220/0006936502470254

in Bibtex Style

@conference{keod18,
author={Raja Hanafi and Lassad Mejri and Henda Hajjami Ben Ghezala},
title={Toward a Domain Ontology for Computer Projects Resolution: Project Memory Challenge},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006936502470254},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Toward a Domain Ontology for Computer Projects Resolution: Project Memory Challenge
SN - 978-989-758-330-8
AU - Hanafi R.
AU - Mejri L.
AU - Ghezala H.
PY - 2018
SP - 247
EP - 254
DO - 10.5220/0006936502470254
PB - SciTePress