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    Verification of relational multiagent systems with data types 

    Calvanese D; Delzanno G; Montali M (AAAI Press, 2015)
    We study the extension of relational multiagent systems (RMASs), where agents manipulate full-fledged relational databases, with data types and facets equipped with domain-specific, rigid relations (such as total orders). ...
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    Dynamic systems based on description logics: formalization, verification, and synthesis 

    Calvanese D; De Giacomo G; Montali M; Patrizi F (CEUR-WS.org, 2013)
    We devise a general framework for formalizing Dynamic Systems centered around a Description Logic knowledge base. Our framework is parametric w.r.t. both the description logic and the progression mechanism. For such kinds ...
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    Specification and verification of commitment-regulated data-aware multiagent systems 

    Montali M; Calvanese D; De Giacomo G (CEUR-WS.org, 2014)
    In this paper we investigate multiagent systems whose agent interaction is based on social commitments that evolve over time, in presence of (possibly incomplete) data. In particular, we are interested in modeling and ...
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    Verification of human-driven data-centric dynamic systems 

    Bagheri Hariri B; Calvanese D; De Giacomo G; Deutsch A; Montali M (AAAI Press, 2014)
    We study the foundations of human driven, data-aware business processes, by leveraging on the recently proposed framework of Data-Centric Dynamic Systems (DCDSs). The processes we consider simultaneously capture the ...
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    Verification of data-aware commitment-based multiagent system 

    Montali M; Calvanese D; De Giacomo G (IFAAMAS, 2014)
    In this paper we investigate multiagent systems whose agent interaction is based on social commitments that evolve over time, in presence of (possibly incomplete) data. In particular, we are interested in modeling and ...
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    Verifiable UML artifact-centric business process models 

    Calvanese D; Estanol M; Montali M; Teniente E (ACM, 2014)
    Artifact-centric business process models have gained increasing momentum recently due to their ability to combine structural (i.e., data related) with dynamical (i.e., process related) aspects. In particular, two main lines ...
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    State-Boundedness in Data-Aware Dynamic Systems 

    Bagheri Hariri B; Calvanese D; Deutsch A; Montali M (AAAI Press, 2014)
    Verification of dynamic systems that manipulate data, stored in a database or ontology, has lately received increasing attention. A plethora of recent works has shown that verification of systems working over unboundedly ...
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    Adding context to Knowledge and Action Bases 

    Calvanese D; Ceylan I; Montali M; Santoso A (arXiv.org e-Print archive, 2014)
    Knowledge and Action Bases (KABs) have been recently proposed as a formal framework to capture the dynamics of systems which manipulate Description Logic (DL) Knowledge Bases (KBs) through action execution. In this work, ...
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    Automated activity recognition in clinical documents 

    Thorne C; Montali M; Calvanese D; Cardillo E; Eccher C (Asian Federation of Natural Language Processing / ACL, 2013)
    We describe a first experiment on the identification and extraction of computer-interpretable guideline (CIG) components (activities, actors and consumed artifacts) from clinical documents, based on clinical entity recognition ...
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    Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology 

    Calvanese D; Kalaici TE; Montali M; Tinella S (Springer, 2017)
    Process mining aims at discovering, monitoring, and improving business processes by extracting knowledge from event logs. In this respect, process mining can be applied only if there are proper event logs that are compatible ...
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Calvanese D (41)
Montali M (41)
De Giacomo G (13)Santoso A (12)Patrizi F (9)Bagheri Hariri B (5)Cardillo E (3)Deutsch A (3)Dumas M (3)Eccher C (3)... View MoreDate Issued2013 (11)2014 (7)2015 (7)2016 (5)2017 (5)2012 (4)2018 (2)Full Text Availabilityopen (29)internal (7)none (3)reserved (2)Type
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