Semiotic Knowledge Models for Personal Knowledge Repositories

Stefano Casadei

2023

Abstract

Knowledge graphs have been used successfully to represent and acquire general knowledge and have also been proposed for personal knowledge representations. While general knowledge data can be modelled statistically as being a noisy projection of universal (and crisp) entities, categories, and relationships, personal knowledge data requires a more refined model: each user’s peculiarities and fluctuations in associating words with meanings and meanings with words should be tracked and analysed instead of being treated as noise and averaged out. This position paper describes a semiotic knowledge model whose primitives are the signification events which occur when symbols such as words and linguistic expressions are associated with an instantaneous meaning. Semiotic structures constructed from these primitives with users’ active participation, enable them to create, update, modify, organize, re-organize and curate detailed and comprehensive representations of their own personal knowledge by means of their own personal terminologies, taxonomies, and organizational schemes.

Paper Citation

in Harvard Style

Casadei S. (2023). Semiotic Knowledge Models for Personal Knowledge Repositories. 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 240-247. DOI: 10.5220/0012209100003598

in Bibtex Style

@conference{keod23,
author={Stefano Casadei},
title={Semiotic Knowledge Models for Personal Knowledge Repositories},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={240-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012209100003598},
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 - Semiotic Knowledge Models for Personal Knowledge Repositories
SN - 978-989-758-671-2
AU - Casadei S.
PY - 2023
SP - 240
EP - 247
DO - 10.5220/0012209100003598
PB - SciTePress