AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2022
Cossentino, Massimo; Guastella, Davide; Lopes, Salvatore; Sabatucci, Luca; Tripiciano, Mario
Linguistic and Semantic Layers for Emergency Plans Journal Article
In: Intelligenza Artificiale, vol. 16, no. 1, pp. 7–25, 2022.
Abstract | Links | BibTeX | Tags: Emergency plans, Metamodel, Text to formal conversion
@article{cossentinoLinguisticSemanticLayers2022,
title = {Linguistic and Semantic Layers for Emergency Plans},
author = { Massimo Cossentino and Davide Guastella and Salvatore Lopes and Luca Sabatucci and Mario Tripiciano},
doi = {10.3233/IA-210122},
year = {2022},
date = {2022-01-01},
journal = {Intelligenza Artificiale},
volume = {16},
number = {1},
pages = {7--25},
abstract = {Plans for emergency response are complex collaborations in which actors take roles and responsibilities. They are generally long textual documents containing practical instructions, in natural language, for hazard responses. A more rigorous structured-text would be useful for a twofold audience. From one side, it can be useful for quickly understanding the plan and on the other side it can be used to improve the modelling phase and delivering an automatic emergency-support system. This paper proposes an approach, conceived for humans, for converting a free-form plan document into a structured version of the same document. The approach is based on a linguistic and semantic analysis that are strictly correlated and materialize in a metamodel. It contains the essential elements of an emergency plan, and it aids in interpreting the input document also reducing inconsistencies, redundancies, and ambiguities. textcopyright 2022 - IOS Press. All rights reserved.},
keywords = {Emergency plans, Metamodel, Text to formal conversion},
pubstate = {published},
tppubtype = {article}
}
Plans for emergency response are complex collaborations in which actors take roles and responsibilities. They are generally long textual documents containing practical instructions, in natural language, for hazard responses. A more rigorous structured-text would be useful for a twofold audience. From one side, it can be useful for quickly understanding the plan and on the other side it can be used to improve the modelling phase and delivering an automatic emergency-support system. This paper proposes an approach, conceived for humans, for converting a free-form plan document into a structured version of the same document. The approach is based on a linguistic and semantic analysis that are strictly correlated and materialize in a metamodel. It contains the essential elements of an emergency plan, and it aids in interpreting the input document also reducing inconsistencies, redundancies, and ambiguities. textcopyright 2022 - IOS Press. All rights reserved.
Cossentino, Massimo; Guastella, Davide; Lopes, Salvatore; Sabatucci, Luca; Tripiciano, Mario
Linguistic and semantic layers for emergency plans Journal Article
In: Intelligenza Artificiale, vol. 16, no. 1, pp. 7–25, 2022.
Abstract | Links | BibTeX | Tags: Emergency plans, Metamodel, Text to formal conversion
@article{cossentino_linguistic_2022,
title = {Linguistic and semantic layers for emergency plans},
author = {Massimo Cossentino and Davide Guastella and Salvatore Lopes and Luca Sabatucci and Mario Tripiciano},
doi = {10.3233/IA-210122},
year = {2022},
date = {2022-01-01},
journal = {Intelligenza Artificiale},
volume = {16},
number = {1},
pages = {7–25},
abstract = {Plans for emergency response are complex collaborations in which actors take roles and responsibilities. They are generally long textual documents containing practical instructions, in natural language, for hazard responses. A more rigorous structured-text would be useful for a twofold audience. From one side, it can be useful for quickly understanding the plan and on the other side it can be used to improve the modelling phase and delivering an automatic emergency-support system. This paper proposes an approach, conceived for humans, for converting a free-form plan document into a structured version of the same document. The approach is based on a linguistic and semantic analysis that are strictly correlated and materialize in a metamodel. It contains the essential elements of an emergency plan, and it aids in interpreting the input document also reducing inconsistencies, redundancies, and ambiguities. © 2022 - IOS Press. All rights reserved.},
keywords = {Emergency plans, Metamodel, Text to formal conversion},
pubstate = {published},
tppubtype = {article}
}
Plans for emergency response are complex collaborations in which actors take roles and responsibilities. They are generally long textual documents containing practical instructions, in natural language, for hazard responses. A more rigorous structured-text would be useful for a twofold audience. From one side, it can be useful for quickly understanding the plan and on the other side it can be used to improve the modelling phase and delivering an automatic emergency-support system. This paper proposes an approach, conceived for humans, for converting a free-form plan document into a structured version of the same document. The approach is based on a linguistic and semantic analysis that are strictly correlated and materialize in a metamodel. It contains the essential elements of an emergency plan, and it aids in interpreting the input document also reducing inconsistencies, redundancies, and ambiguities. © 2022 - IOS Press. All rights reserved.
2019
Cossentino, Massimo; Lopes, Salvatore; Renda, Giovanni; Sabatucci, Luca; Zaffora, Flavia
A Metamodel of a Multi-Paradigm Approach to Smart Cyber-Physical Systems Development. Proceedings Article
In: WOA, pp. 35–41, 2019.
Abstract | BibTeX | Tags: Cyber-Physical Systems, Metamodel, Multi-Paradigm, Shipboard power system
@inproceedings{cossentinoMetamodelMultiParadigmApproach2019,
title = {A Metamodel of a Multi-Paradigm Approach to Smart Cyber-Physical Systems Development.},
author = { Massimo Cossentino and Salvatore Lopes and Giovanni Renda and Luca Sabatucci and Flavia Zaffora},
year = {2019},
date = {2019-01-01},
booktitle = {WOA},
pages = {35--41},
abstract = {This paper illustrates an approach to the development of a shipboard power system reconfiguration as a Smart cyber-physical system (CPS). It is developed by representing it through a meta-model, providing a multi-paradigm approach that exploits the best features of three available frameworks, Jade, Jason and Akka. The resulting developing framework allows the creation of a new composite entity (labelled H-Entity) that exploits the advantages of Jade, Jason and Akka.},
keywords = {Cyber-Physical Systems, Metamodel, Multi-Paradigm, Shipboard power system},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper illustrates an approach to the development of a shipboard power system reconfiguration as a Smart cyber-physical system (CPS). It is developed by representing it through a meta-model, providing a multi-paradigm approach that exploits the best features of three available frameworks, Jade, Jason and Akka. The resulting developing framework allows the creation of a new composite entity (labelled H-Entity) that exploits the advantages of Jade, Jason and Akka.
Cossentino, Massimo; Lopes, Salvatore; Renda, Giovanni; Sabatucci, Luca; Zaffora, Flavia
A Metamodel of a Multi-Paradigm Approach to Smart Cyber-Physical Systems Development. Proceedings Article
In: WOA, pp. 35–41, 2019.
Abstract | Links | BibTeX | Tags: Cyber-Physical Systems, Metamodel, Multi-Paradigm, Shipboard power system
@inproceedings{cossentino_metamodel_2019,
title = {A Metamodel of a Multi-Paradigm Approach to Smart Cyber-Physical Systems Development.},
author = {Massimo Cossentino and Salvatore Lopes and Giovanni Renda and Luca Sabatucci and Flavia Zaffora},
url = {https://ceur-ws.org/Vol-2404/paper06.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {WOA},
pages = {35–41},
abstract = {This paper illustrates an approach to the development of a shipboard power system reconfiguration as a Smart cyber-physical system (CPS). It is developed by representing it through a meta-model, providing a multi-paradigm approach that exploits the best features of three available frameworks, Jade, Jason and Akka. The resulting developing framework allows the creation of a new composite entity (labelled H-Entity) that exploits the advantages of Jade, Jason and Akka.},
keywords = {Cyber-Physical Systems, Metamodel, Multi-Paradigm, Shipboard power system},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper illustrates an approach to the development of a shipboard power system reconfiguration as a Smart cyber-physical system (CPS). It is developed by representing it through a meta-model, providing a multi-paradigm approach that exploits the best features of three available frameworks, Jade, Jason and Akka. The resulting developing framework allows the creation of a new composite entity (labelled H-Entity) that exploits the advantages of Jade, Jason and Akka.
2018
Sabatucci, Luca; Seidita, Valeria; Cossentino, Massimo
The Four Types of Self-Adaptive Systems: A Metamodel Proceedings Article
In: Intelligent Interactive Multimedia Systems and Services 2017 10, pp. 440–450, Springer International Publishing, 2018.
Abstract | Links | BibTeX | Tags: Metamodel, Self-Adaptive Systems
@inproceedings{sabatucciFourTypesSelfadaptive2018,
title = {The Four Types of Self-Adaptive Systems: A Metamodel},
author = { Luca Sabatucci and Valeria Seidita and Massimo Cossentino},
doi = {10.1007/978-3-319-59480-4_44},
year = {2018},
date = {2018-01-01},
booktitle = {Intelligent Interactive Multimedia Systems and Services 2017 10},
pages = {440--450},
publisher = {Springer International Publishing},
abstract = {The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.},
keywords = {Metamodel, Self-Adaptive Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.
Sabatucci, Luca; Seidita, Valeria; Cossentino, Massimo
The four types of self-adaptive systems: a metamodel Proceedings Article
In: Intelligent Interactive Multimedia Systems and Services 2017 10, pp. 440–450, Springer International Publishing, 2018.
Abstract | Links | BibTeX | Tags: Metamodel, Self-Adaptive Systems
@inproceedings{sabatucci_four_2018,
title = {The four types of self-adaptive systems: a metamodel},
author = {Luca Sabatucci and Valeria Seidita and Massimo Cossentino},
doi = {10.1007/978-3-319-59480-4_44},
year = {2018},
date = {2018-01-01},
booktitle = {Intelligent Interactive Multimedia Systems and Services 2017 10},
pages = {440–450},
publisher = {Springer International Publishing},
abstract = {The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.},
keywords = {Metamodel, Self-Adaptive Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
The basic ideas of self-adaptive systems are not a novelty in computer science. There are plenty of systems that are able of monitoring their operative context to take run-time decisions. However, more recently a new research discipline is trying to provide a common framework for collecting theory, methods, middlewares, algorithms and tools for engineering such software systems. The aim is to collect and classify existing approaches, coming from many different research areas. The objective of this work is providing a unified metamodel for describing the various categories of adaptation.