Historical Knowledge Modelling and Analysis through Ontologies and Timeline Extraction Operators: Application to Computing Heritage

Christophe Ponsard, Aurélien Masson, Ward Desmet

2022

Abstract

Cultural heritage as human science has a long tradition of text-based reporting and analysis. This domain has a very rich semantic structure, especially to relate many different types of entities anchored in some time period with more or less strong temporal inter-dependencies. Various modelling approaches, largely based on ontologies, have been proposed to capture and structure this kind of knowledge. In this paper, we are interested in easing the analysis capabilities on historical knowledge using the timeline as central concept that can be extracted and manipulated in various ways through specific operators sharing some similarities with multi-dimensional analysis in business intelligence. We propose zooming on a specific aggregates, pivoting from a timeline to another one or drilling-across to compare different timelines. Our work is illustrated on a concrete implementation targeting the Computing Heritage of the micro-computer period, including machines, operating systems, companies, people and applications. The information is extracted from a museum information system combined with DBPedia. We also developed a specific visualisation tool under the form of a mobile application which can also be used as museum guide.

Paper Citation

in Harvard Style

Ponsard C., Masson A. and Desmet W. (2022). Historical Knowledge Modelling and Analysis through Ontologies and Timeline Extraction Operators: Application to Computing Heritage. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 302-309. DOI: 10.5220/0010900400003119

in Bibtex Style

@conference{modelsward22,
author={Christophe Ponsard and Aurélien Masson and Ward Desmet},
title={Historical Knowledge Modelling and Analysis through Ontologies and Timeline Extraction Operators: Application to Computing Heritage},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2022},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010900400003119},
isbn={978-989-758-550-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Historical Knowledge Modelling and Analysis through Ontologies and Timeline Extraction Operators: Application to Computing Heritage
SN - 978-989-758-550-0
AU - Ponsard C.
AU - Masson A.
AU - Desmet W.
PY - 2022
SP - 302
EP - 309
DO - 10.5220/0010900400003119