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  1.  60
    DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering.Stefano Borgo, Roberta Ferrario, Aldo Gangemi, Nicola Guarino, Claudio Masolo, Daniele Porello, Sanfilippo Emilio & Laure Vieu - 2022 - Applied ontology 1 (17):45-69.
    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, (...)
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  2.  4
    DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering1.Stefano Borgo, Roberta Ferrario, Aldo Gangemi, Nicola Guarino, Claudio Masolo, Daniele Porello, Emilio M. Sanfilippo & Laure Vieu - 2022 - Applied ontology 17 (1):45-69.
    dolce, the first top-level 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 (...)
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  3.  72
    An Ontology of Physical Causation as a Basis for Assessing Causation in Fact and Attributing Legal Responsibility.Jos Lehmann & Aldo Gangemi - 2007 - Artificial Intelligence and Law 15 (3):301-321.
    Computational machineries dedicated to the attribution of legal responsibility should be based on (or, make use of) a stack of definitions relating the notion of legal responsibility to a number of suitably chosen causal notions. This paper presents a general analysis of legal responsibility and of causation in fact based on Hart and Honoré’s work. Some physical aspects of causation in fact are then treated within the “lite” version of DOLCE foundational ontology written in OWL-DL, a standard description logic for (...)
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  4.  6
    Exposing Implicit Biases and Stereotypes in Human and Artificial Intelligence: State of the Art and Challenges with a Focus on Gender.Ludovica Marinucci, Claudia Mazzuca & Aldo Gangemi - forthcoming - AI and Society.
    Biases in cognition are ubiquitous. Social psychologists suggested biases and stereotypes serve a multifarious set of cognitive goals, while at the same time stressing their potential harmfulness. Recently, biases and stereotypes became the purview of heated debates in the machine learning community too. Researchers and developers are becoming increasingly aware of the fact that some biases, like gender and race biases, are entrenched in the algorithms some AI applications rely upon. Here, taking into account several existing approaches that address the (...)
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  5.  9
    Is There Beauty in Ontologies?Mathieu D'Aquin & Aldo Gangemi - 2011 - Applied Ontology 6 (3):165-175.
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  6. An Ontological Investigation Over Human Relations in Linked Data.Miroslav Vacura, Vojtěch Svátek & Aldo Gangemi - 2016 - Applied Ontology 11 (3):227-254.
    The research presented in this article is motivated by the increasing importance of complex human relations in linked data, either extracted from social networks, or found in existing databases. The FOAF vocabulary, targeted in our research, plays a central role in those data, and is a model for lightweight ontologies largely used in linked data, such as the DBpedia ontology and schema-org. We provide an overview of FOAF and other approaches for describing human relations, followed by a detailed analysis and (...)
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  7.  87
    Clinical Guidelines as Plans: An Ontological Theory.Anand Kumar, Barry Smith, Domenica Pisanelli, Aldo Gangemi & Mario Stefanelli - 2006 - Methods of Information in Medicine 45 (2):204-210.
    Clinical guidelines are special types of plans realized by collective agents. We provide an ontological theory of such plans that is designed to support the construction of a framework in which guideline-based information systems can be employed in the management of workflow in health care organizations. The framework we propose allows us to represent in formal terms how clinical guidelines are realized through the actions of are realized through the actions of individuals organized into teams. We provide various levels of (...)
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  8.  15
    Editorial.Joost Breuker, Daniella Tiscornia, Radboud Winkels & Aldo Gangemi - 2004 - Artificial Intelligence and Law 12 (4):239-240.
  9. Ontology Integration: Experiences with Medical Terminologies.Aldo Gangemi, Domenico Pisanelli & Geri Steve - 1998 - In Nicola Guarino (ed.), Formal Ontology in Information Systems. Ios Press. pp. 46--98.
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  10. Towards Ontologies for Formalizing Modularization and Communication in Large Software Systems.Daniel Oberle, Steffen Lamparter, Stephan Grimm, D. Vrandeči&Cacute, Steffen Staab & Aldo Gangemi - 2006 - Applied Ontology 1 (2):163-202.
     
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  11. La prospettiva dell'ontologia applicata.Claudio Masolo, Alessandro Oltramari, Aldo Gangemi, Nicola Guarino & Laure Vieu - 2003 - Rivista di Estetica 22 (2003):170-183.
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