Conceptualising Information Production in the Context of the SDHSS Ontology Ecosystem. Beretta, F. Methodos. Savoirs et textes, June, 2024. Number: 24 Publisher: Savoirs textes langage (UMR 8163)Paper doi abstract bibtex In this paper, we challenge the vision of creating a giant knowledge graph of reusable research data from multiple projects and platforms, based on Semantic Web technologies and a shared conceptualisation in the form of a commonly used ontology ecosystem, promoted by the Semantic Data for Humanities and Social Sciences project (SDHSS). Three main issues are raised: the difficulty of proposing a cross-disciplinary ontology for humanities and social sciences given the different research agendas and constructivist approaches; the difficulty of interlinking the objects present in the different information systems, due to different notions of identity; the challenge of dealing with uncertainty, inconsistencies and contradictions in information sources, when the aim is to produce ‘factual’ information. First, I propose an epistemological analysis of information, as distinct from data and knowledge, then I develop a conceptualisation of information in humanities and social sciences, based on the OntoClean methodology, and the foundational ontologies DOLCE and Descriptions and Situations, and show how it can ground a cross-disciplinary ontology ecosystem based on the CIDOC CRM and its SDHSS integration. Finally, I apply these principles to a detailed analysis of the information production process and show how the proposed conceptualisation provides possible solutions to the three challenges raised.
@article{berettaConceptualisingInformationProduction2024,
title = {Conceptualising {Information} {Production} in the {Context} of the {SDHSS} {Ontology} {Ecosystem}},
copyright = {https://creativecommons.org/licenses/by-nc-nd/4.0/},
issn = {1769-7379},
url = {https://journals.openedition.org/methodos/11110},
doi = {10.4000/12xqn},
abstract = {In this paper, we challenge the vision of creating a giant knowledge graph of reusable research data from multiple projects and platforms, based on Semantic Web technologies and a shared conceptualisation in the form of a commonly used ontology ecosystem, promoted by the Semantic Data for Humanities and Social Sciences project (SDHSS). Three main issues are raised: the difficulty of proposing a cross-disciplinary ontology for humanities and social sciences given the different research agendas and constructivist approaches; the difficulty of interlinking the objects present in the different information systems, due to different notions of identity; the challenge of dealing with uncertainty, inconsistencies and contradictions in information sources, when the aim is to produce ‘factual’ information. First, I propose an epistemological analysis of information, as distinct from data and knowledge, then I develop a conceptualisation of information in humanities and social sciences, based on the OntoClean methodology, and the foundational ontologies DOLCE and Descriptions and Situations, and show how it can ground a cross-disciplinary ontology ecosystem based on the CIDOC CRM and its SDHSS integration. Finally, I apply these principles to a detailed analysis of the information production process and show how the proposed conceptualisation provides possible solutions to the three challenges raised.},
language = {en},
number = {24},
urldate = {2025-01-08},
journal = {Methodos. Savoirs et textes},
author = {Beretta, Francesco},
month = jun,
year = {2024},
note = {Number: 24
Publisher: Savoirs textes langage (UMR 8163)},
keywords = {CIDOC CRM, DOLCE and Descriptions and Situations, OntoClean, SDHS, cross-disciplinary ontology, epistemology of information production in the humanities and social sciences, factoids, process of factual information production},
}
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