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Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior AnalysisIn Vittorio Murino, Marco Cristani, Shishir Shah & Silvio Savarese (eds.), Group and Crowd Behavior for Computer Vision, 1st Edition. pp. 297-319. 2017.In this paper, building on these previous works, we propose to go deeper into the understanding of crowd behavior by proposing an approach which integrates ontologi- cal models of crowd behavior and dedicated computer vision algorithms, with the aim of recognizing some targeted complex events happening in the playground from the observation of the spectator crowd behavior. In order to do that, we first propose an ontology encoding available knowledge on spectator crowd behavior, built as a spe- …Read more
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1Pluralities, Collectives, and CompositesIn Boyan Brodaric & Fabian Neuhaus (eds.), Formal Ontology in Information Systems - Proceedings of the 11th International Conference, {FOIS} 2020, Cancelled / Bozen-Bolzano, Italy, September 14-17, 2020. Frontiers in Artificial Intelligence and Applications 330.. pp. 186-200. 2020.Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and propos- ing a…Read more
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87Towards Even More Irresistible Axiom WeakeningIn Roberto Confalonieri, Pietro Galliani, Oliver Kutz, Daniele Porello, Guendalina Righetti & Nicolas Toquard (eds.), Proceedings of the 33rd International Workshop on Description Logics {(DL} 2020) co-located with the 17th International Conference on Principles of Knowledge Representation and Reasoning {(KR} 2020), Online Event, Rhodes, Greece., . 2020.Axiom weakening is a technique that allows for a fine-grained repair of inconsistent ontologies. Its main advantage is that it repairs on- tologies by making axioms less restrictive rather than by deleting them, employing the use of refinement operators. In this paper, we build on pre- viously introduced axiom weakening for ALC, and make it much more irresistible by extending its definitions to deal with SROIQ, the expressive and decidable description logic underlying OWL 2 DL. We extend the def…Read more
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92An Ontological Account of the Action Theory of Economic ExchangesIn Daniele Porello, Giancarlo Guizzardi, Tiago Prince Sales, Glenda C. M. Amaral & Nicola Guarino (eds.), Proceedings of 14th International Workshop on Value Modelling and Business Ontologies, Brussels, Belgium, January 16-17, 2020. pp. 157-169. 2020.In recent years, there has been an increasing interest in thedevelopment of ontologically well-founded conceptual models for Information Systems in areas such as Service Management, Accounting Information Systems and Financial Reporting. Economic exchanges are central phenomena in these areas. For this reason, they occupy a prominent position in modelling frameworks such as the REA (Resource-EventAction) ISO Standard as well as the FIBO (Financial Industry BusinessOntology). In this paper, we be…Read more
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415DOLCE: A descriptive ontology for linguistic and cognitive engineering1Applied ontology 17 (1): 45-69. 2022.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 p…Read more
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128Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior AnalysisIn Vittorio Murino, Marco Cristani, Shishir Shah & Silvio Savarese (eds.), Group and Crowd Behavior for Computer Vision, 1st Edition, . pp. 297-319. 2017.In this paper, building on these previous works, we propose to go deeper into the understanding of crowd behavior by proposing an approach which integrates ontologi- cal models of crowd behavior and dedicated computer vision algorithms, with the aim of recognizing some targeted complex events happening in the playground from the observation of the spectator crowd behavior. In order to do that, we first propose an ontology encoding available knowledge on spectator crowd behavior, built as a spe- …Read more
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93Repairing Socially Aggregated Ontologies Using Axiom WeakeningIn Daniele Porello, Nicolas Triquard, Roberto Confalonieri, Pietro Galliani, Oliver Kutz & Rafael Penaloza (eds.), {PRIMA} 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings. Lecture Notes in Computer Science 10621,. pp. 441-449. 2017.Ontologies represent principled, formalised descriptions of agents’ conceptualisations of a domain. For a community of agents, these descriptions may differ among agents. We propose an aggregative view of the integration of ontologies based on Judgement Aggregation (JA). Agents may vote on statements of the ontologies, and we aim at constructing a collective, integrated ontology, that reflects the individual conceptualisations as much as possible. As several results in JA show, many attractive a…Read more
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86We introduce the notions of syntactic synonymy and referential syn- onymy due to Moschovakis. Those notions are capable of accounting for fine- grained aspects of the meaning of linguistic expressions, by formalizing the Fregean distinction between sense and denotation. We integrate Moschovakis’s theory with the theory of concepts developed in the foundational ontology DOLCE, in order to enable a formal treatment of equivalence between concepts.
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56It has been claimed that deliberation is capable of overcoming so- cial choice theory impossibility results, by bringing about single- peakedness. Our aim is to better understand the relationship be- tween single-peakedness and collective justifications of preferences.
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81Needs and intentionalityIn Boyan Brodaric & Fabian Neuhaus (eds.), Formal Ontology in Information Systems - Proceedings of the 11th International Conference, {FOIS} 2020, Cancelled / Bozen-Bolzano, Italy, September 14-17, 2020. Frontiers in Artificial Intelligence and Applications 330.. pp. 125-139. 2020.A thorough understanding of what needs are is fundamental for design- ing well-behaved information systems for many social applications and in partic- ular for public services. Talking about needs pervades indeed the jargon of Public Administrations when motivating their service offering. In this paper, we propose an ontological analysis of needs, aiming at a principled disentangling of the differ- ent uses of the term. We leverage philosophical tradition on intentionality, for its rich understa…Read more
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104Towards Knowledge-driven Distillation and Explanation of Black-box Models.In Roberto Confalonieri, Guendalina Righetti, Pietro Galliani, Nicolas Toquard, Oliver Kutz & Daniele Porello (eds.), Proceedings of the Workshop on Data meets Applied Ontologies in Explainable {AI} {(DAO-XAI} 2021) part of Bratislava Knowledge September {(BAKS} 2021), Bratislava, Slovakia, September 18th to 19th, 2021. CEUR 2998. 2021.We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description Logics with linear operators that serve as a bridge between statistical learning and logical reasoning. The second is Trepan Reloaded, an ap- proach that builds post-hoc explanations of black-box classifiers in the form of decision tree…Read more
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69Concept Combination in Weighted LogicIn Guendalina Righetti, Claudio Masolo, Nicolas Toquard, Oliver Kutz & Daniele Porello (eds.), Proceedings of the Joint Ontology Workshops 2021 Episode {VII:} The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems {(FOIS} 2021), and the 12th Internati. 2021.We present an algorithm for concept combination inspired and informed by the research in cognitive and experimental psychology. Dealing with concept combination requires, from a symbolic AI perspective, to cope with competitive needs: the need for compositionality and the need to account for typicality effects. Building on our previous work on weighted logic, the proposed algorithm can be seen as a step towards the management of both these needs. More precisely, following a proposal of Hampton […Read more
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Università degli Studi di GenovaAssociate Professor
Università degli Studi di Genova
PhD, 2006
Genoa, Italy
Areas of Specialization
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