Adding ‘Sense’ to Conceptual Modeling: An Interdisciplinary Approach
Veikko Halttunen
2019
Abstract
In this paper, our aim is to widen the prevailing foundations of conceptual modeling theories and practices, particularly in the context of information systems development. The approach shifts the focus from the link between a model and the modelled reality to the link between human cognition and the model. Our approach combines theoretical issues of different disciplines relevant to conceptual modeling. We shall make an explicit distinction between individual conceptions and interpersonal concepts and show how this distinction could be utilized to have conceptual models of a better consistency. We wish that this article could also serve as a starting point for a profound scientific discussion on the real sources of conceptual models, i.e. the human mind.
DownloadPaper Citation
in Harvard Style
Halttunen V. (2019). Adding ‘Sense’ to Conceptual Modeling: An Interdisciplinary Approach. 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 248-255. DOI: 10.5220/0008069702480255
in Bibtex Style
@conference{keod19,
author={Veikko Halttunen},
title={Adding ‘Sense’ to Conceptual Modeling: An Interdisciplinary Approach},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={248-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008069702480255},
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 - Adding ‘Sense’ to Conceptual Modeling: An Interdisciplinary Approach
SN - 978-989-758-382-7
AU - Halttunen V.
PY - 2019
SP - 248
EP - 255
DO - 10.5220/0008069702480255
PB - SciTePress