DOLCE: A descriptive ontology for linguistic and cognitive engineering1

Borgo, Stefano; Ferrario, Roberta; Gangemi, Aldo; Guarino, Nicola; Masolo, Claudio; Porello, Daniele; Sanfilippo, Emilio M.; Vieu, Laure

doi:10.3233/ao-210259

Cited by 51 publications

(45 citation statements)

References 28 publications

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“…As mentioned above, the FOUST workshops resulted in the creation of a template to discuss ontological modelling cases (presented below) and the invitation of seven foundational ontologies to model those cases, namely: BFO (Otte et al, 2022), DOLCE (Borgo et al, 2022), GFO (Loebe et al, 2022), GUM (Bateman, 2022), TUpper (Grüninger et al, 2022), UFO (Guizzardi et al, 2022), and YAMATO (Mizoguchi and Borgo, 2022). We here give a brief characterisation of their origin and developmentmuch more complete historical data about each of the ontologies can be found in the papers of this special issue.…”

Section: Participating Ontologiesmentioning

confidence: 99%

Foundational ontologies in action

Borgo

Galton

Kutz

2022

Self Cite

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GOAL', providing the general motivation for its inclusion in terms of the group of modelling problems that it targets, and secondly a 'FOCUS', that is, a target group of specific ontological issues.Brief overviews and a partial comparison of how the different ontologies approach the modelling of these examples are then provided in the remaining sections of this introduction. Case 1: (Section 3.1. Composition/constitution)"There is a four-legged table made of wood. Some time later, a leg of the table is replaced. Even later, the table is demolished so it ceases to exist although the wood is still there after the demolition." GOAL: The example aims to show if and how the ontology models materials, objects, and components and the relationships among them. FOCUS: The relationship between the wood and the table and the table's parts over time. (Artefacts and functions are not the focus.) Case 2: (Section 3.2. Roles) "Mr. Potter is the teacher of class 2C at Shapism School and resigns at the beginning of the spring break. After the spring break, Mrs. Bumblebee replaces Mr. Potter as the teacher of 2C. Also, student Mary left the class at the beginning of the break and a new student, John, joins in when the break ends." GOAL: The example aims to show if and how the ontology models the relationships between roles, players and organisations. FOCUS: The change of roles/players; the vacancy of the teaching position; persistence of the class while students come and go. Case 3 (a): (Section 3.3. Property change) "A flower is red in the summer. As time passes, the colour changes. In autumn the flower is brown." GOAL: The example aims to show if and how the ontology models change in qualities/properties. FOCUS: The change of the colour of an object. Case 3 (b): (Section 3.3. Property change) "A man is walking when suddenly he starts walking faster and then breaks into a run." GOAL: The example aims to show if and how the ontology models change during an event. FOCUS: The change in the speed and mode of locomotion. Case 4: (Section 3.4 . Event change)"A man is walking to the station, but before he gets there, he turns around and goes home." GOAL: The example aims to show if and how the ontology models change in goal-directed activities. FOCUS: An activity/event is not completed and another activity/event is completed instead. Case 5: (Section 3.5. Concept evolution)BACKGROUND: A marriage is a contract between two people that is present in most social and cultural systems and it can change in major (e.g. gender constraints) and minor (e.g. marriage breaking procedures) aspects. "A marriage is a contract that is regulated by civil and social constraints. These constraints can change but the meaning of marriage continues over time." GOAL: The example aims to show if and how the ontology models the evolution of the meaning of a term. FOCUS:The continuity/discontinuity of the meaning of marriage in the presence of changing qualifications.

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Section: Participating Ontologiesmentioning

confidence: 99%

Foundational ontologies in action

Borgo

Galton

Kutz

2022

Self Cite

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“…These vocabularies are properly structured and formally defined according to certain methodology. Examples of popular top-level ontologies include the Basic Formal Ontology (BFO) (Arp and Smith, 2008) and the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) (Borgo et al, 2022).…”

Section: Semantic Modellingmentioning

confidence: 99%

“…It is worth to mention that BFO is not the only top-level ontology. Other ones such as DOLCE (Borgo et al, 2022) are also widely adopted by many application ontologies. It remains a challenging task to assure interoperability across these top-level ontologies.…”

Section: Rmpfq For Ontology Developmentmentioning

confidence: 99%

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

Zheng

Petrali

et al. 2022

Front. Manuf. Technol.

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Digital Twin is one of the fundamental enabling technologies for Industry 4.0 as it allows the convergence between a physical system and its digital representation. A proper modelling method is the prerequisite for successful digital twin implementation. The manufacturing process determines critically the quality of the manufactured products. The influential elements need to be systematically organized when modelling a manufacturing process. This paper proposes a semantic modelling method named RMPFQ (Resource, Material, Process, Function/Feature, Quality) aiming to interlink the main influential factors related to product quality during manufacturing processes. The proposed RMPFQ model is formalized with an application ontology following the IOF-Core middle-level and BFO top-level ontologies. Based on this ontology, a semantic-driven digital twin architecture is designed and mapped to the recently proposed Cognitive Digital Twin concept. A correlation matrix is designed to quantify the relationships among RMPFQ elements thus to facilitate the industrial applications. A case study based on the assembly process of a washing machine is conducted to demonstrate the implementation procedures of the proposed RMPFQ method.

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“…In fact, a dispositional view of affordances has been recently philosophically defended by Vetter (2018) and Heras-Escribano (2019) (albeit not necessarily exactly in the same way as by Turvey). It has been also formally explored by Ortmann & Kuhn (2010 in compliance with the upper ontology the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE; Masolo et al, 2003;Borgo & Masolo, 2010;Borgo et al, 2022) and, in this DOLCE-based direction of research, it has been reinterpreted and implemented in robotics (Beßler et al, 2020(Beßler et al, , 2021.…”

Section: Introductionmentioning

confidence: 99%

Affordances and their ontological core

Toyoshima

Barton

Éthier

2022

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The notion of affordance remains elusive, notwithstanding its importance for the representation of agency, cognition, and behaviors. This paper lays down a foundation for an ontology of affordances by elaborating the idea of “core affordance” which would serve as a common ground for explaining existing diverse conceptions of affordances and their interrelationships. For this purpose, it analyzes M. T. Turvey’s dispositional theory of affordances in light of a formal ontology of dispositions. Consequently, two kinds of so-called “core affordances” are proposed: specific and general ones. Inspired directly by Turvey’s original account, a specific core affordance is intimately connected to a specific agent, as it is reciprocal with a counterpart effectivity (which is a disposition) of this agent within the agent-environment system. On the opposite, a general core affordance does not depend on individual agents; rather, its realization involves an action by an instance of a determinate class of agents. The utility of such core affordances is illustrated by examining how they can be leveraged to formalize other major accounts of affordances. Additionally, it is briefly outlined how core affordances can be employed to analyze three notions that are closely allied with affordances: the environment, image schemas, and intentions.

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DOLCE: A descriptive ontology for linguistic and cognitive engineering1

Cited by 51 publications

References 28 publications

Foundational ontologies in action

Foundational ontologies in action

RMPFQ: A Quality-Oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins

Affordances and their ontological core

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