Multiagent Socio-Technical Systems: An Ontological Approach

Porello, Daniele; Setti, Francesco; Ferrario, Roberta; Cristani, Marco

doi:10.1007/978-3-319-07314-9_3

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…We present some basic features of DOLCE-CORE, the ground ontology, to show that they allow for keeping track of the rich structure of information in a socio-technical system [26]. For an introduction to DOLCE-CORE, we refer to [4], here we simply point at the relevant features.…”

Section: Ontological Analysis: Dolcementioning

confidence: 99%

Towards a Conceptualization of Sociomaterial Entanglement

Ferrario

Porello

2015

Modeling and Using Context

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In knowledge representation, socio-technical systems can be modeled as multiagent systems in which the local knowledge of each individual agent can be seen as a context. In this paper we propose formal ontologies as a means to describe the assumptions driving the construction of contexts as local theories and to enable interoperability among them. In particular, we present two alternative conceptualizations of the notion of sociomateriality (and entanglement), which is central in the recent debates on socio-technical systems in the social sciences, namely critical and agential realism. We thus start by providing a model of entanglement according to the critical realist view, representing it as a property of objects that are essentially dependent on different modules of an already given ontology. We refine then our treatment by proposing a taxonomy of sociomaterial entanglements that distinguishes between ontological and epistemological entanglement. In the final section, we discuss the second perspective, which is more challenging form the point of view of knowledge representation, and we show that the very distinction of information into modules can be at least in principle built out of the assumption of an entangled reality.

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Section: Ontological Analysis: Dolcementioning

confidence: 99%

Towards a Conceptualization of Sociomaterial Entanglement

Ferrario

Porello

2015

Modeling and Using Context

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“…Some extensions tackle knowledge representation's specific issues, like the modeling of roles [23], artifacts [30,3], and modules [10], others attempts an integration with machine learning and in particular computer vision [8]. Extensions to the modeling of social [6,28,26] and cognitive aspects [9,1] have also been proposed. Today DOLCE is becoming part of an ISO standard and is now available also in CLIF, a syntax of Common Logic [19].…”

Section: Introductionmentioning

confidence: 99%

“…Others showed a possible integration with machine learning and in particular computer vision (Conigliaro et al, 2017). Extensions to the modeling of social (Bottazzi and Ferrario, 2009;Porello et al, 2013Porello et al, , 2014a and cognitive aspects (Ferrario and Oltramari, 2004;Biccheri et al, 2020) have also been proposed. Today DOLCE is becoming part of the ISO 21838 standard, under development, and is available also in CLIF, a syntax of Common Logic ISO 24707 (2018).…”

Section: Introductionmentioning

confidence: 99%

DOLCE: A descriptive ontology for linguistic and cognitive engineering1

Borgo

Ferrario

Gangemi

et al. 2022

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dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources (e.g. CIDOC CRM, DBpedia and WordNet). Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases.

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