AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
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.
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
Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Su, Qiqi; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George
Overview of the SMART-BEAR Technical Infrastructure Best Paper Proceedings Article
In: Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health, pp. 117–125, SCITEPRESS - Science and Technology Publications, Online, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics
@inproceedings{peretokinOverviewSMARTBEARTechnical2022,
title = {Overview of the SMART-BEAR Technical Infrastructure},
author = { Vadim Peretokin and Ioannis Basdekis and Ioannis Kouris and Jonatan Maggesi and Mario Sicuranza and Qiqi Su and Alberto Acebes and Anca Bucur and Vinod Mukkala and Konstantin Pozdniakov and Christos Kloukinas and Dimitrios Koutsouris and Elefteria Iliadou and Ioannis Leontsinis and Luigi Gallo and Giuseppe De Pietro and George Spanoudakis},
doi = {10.5220/0011082700003188},
isbn = {978-989-758-566-1},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health},
pages = {117--125},
publisher = {SCITEPRESS - Science and Technology Publications},
address = {Online},
abstract = {This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.},
keywords = {Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.
Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Su, Qiqi; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George
Overview of the SMART-BEAR Technical Infrastructure Proceedings Article
In: Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 117–125, SCITEPRESS - Science and Technology Publications, Online, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics
@inproceedings{peretokin_overview_2022,
title = {Overview of the SMART-BEAR Technical Infrastructure},
author = {Vadim Peretokin and Ioannis Basdekis and Ioannis Kouris and Jonatan Maggesi and Mario Sicuranza and Qiqi Su and Alberto Acebes and Anca Bucur and Vinod Mukkala and Konstantin Pozdniakov and Christos Kloukinas and Dimitrios Koutsouris and Elefteria Iliadou and Ioannis Leontsinis and Luigi Gallo and Giuseppe De Pietro and George Spanoudakis},
url = {https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0011082700003188},
doi = {10.5220/0011082700003188},
isbn = {978-989-758-566-1},
year = {2022},
date = {2022-01-01},
urldate = {2023-03-15},
booktitle = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health},
pages = {117–125},
publisher = {SCITEPRESS - Science and Technology Publications},
address = {Online},
abstract = {This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.},
keywords = {Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.
2020
Scianna, Andrea; Guardia, Marcello La
Processing of 3D Models for Networking of CH in Geomatics Journal Article
In: Communications in Computer and Information Science, vol. 1246, pp. 267–281, 2020, (Publisher: Springer Science and Business Media Deutschland GmbH).
Abstract | Links | BibTeX | Tags: 3-D environments, 3D Environments, 3D Visualization, Cultural heritage, Cultural heritages, Geo-Spatial Informations, Geomatics, Loading configuration, Quality of information, Semantics, Surveying, Three dimensional computer graphics, Virtual fruitions, Virtual Reality, Visualization
@article{scianna_processing_2020,
title = {Processing of 3D Models for Networking of CH in Geomatics},
author = {Andrea Scianna and Marcello La Guardia},
editor = {Vettore A. Troisi S. Parente C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097414626&doi=10.1007%2f978-3-030-62800-0_21&partnerID=40&md5=4f0cbed228d7f218580ab8042953049d},
doi = {10.1007/978-3-030-62800-0_21},
year = {2020},
date = {2020-01-01},
journal = {Communications in Computer and Information Science},
volume = {1246},
pages = {267–281},
abstract = {In recent times the possibility of reconstruction of complex 3D Cultural Heritage (CH) environments has opened new scenarios for touristic and scientific aims. The different needs for networking or conservation purposes of CH lead to study proper structuring of 3D models. In light of this, a scientific approach has been developed in order to test the networking capabilities, comparing different loading configurations of 3D environments with multiple combinations of 3D models inside them, considering different solutions. This experimentation has been based on WebGL-HTML5 technologies and allowed to discover the true balance between performances of proposed system, the quality of visualization, and the quality of information (geometric and semantic ones) characterizing the 3D visualization of the virtual environment. The present work analyzes all of these parameters in order to find the best combination for the implementation of these models into a virtual 3D Geographic Information System (GIS) environment, based on WebGL technologies and accessible via web. This study could be considered a basic step for the development of interactive geospatial information platforms for the virtual fruition of CH. © 2020, Springer Nature Switzerland AG.},
note = {Publisher: Springer Science and Business Media Deutschland GmbH},
keywords = {3-D environments, 3D Environments, 3D Visualization, Cultural heritage, Cultural heritages, Geo-Spatial Informations, Geomatics, Loading configuration, Quality of information, Semantics, Surveying, Three dimensional computer graphics, Virtual fruitions, Virtual Reality, Visualization},
pubstate = {published},
tppubtype = {article}
}
In recent times the possibility of reconstruction of complex 3D Cultural Heritage (CH) environments has opened new scenarios for touristic and scientific aims. The different needs for networking or conservation purposes of CH lead to study proper structuring of 3D models. In light of this, a scientific approach has been developed in order to test the networking capabilities, comparing different loading configurations of 3D environments with multiple combinations of 3D models inside them, considering different solutions. This experimentation has been based on WebGL-HTML5 technologies and allowed to discover the true balance between performances of proposed system, the quality of visualization, and the quality of information (geometric and semantic ones) characterizing the 3D visualization of the virtual environment. The present work analyzes all of these parameters in order to find the best combination for the implementation of these models into a virtual 3D Geographic Information System (GIS) environment, based on WebGL technologies and accessible via web. This study could be considered a basic step for the development of interactive geospatial information platforms for the virtual fruition of CH. © 2020, Springer Nature Switzerland AG.
2018
Cascia, Marco La; Vassallo, Giorgio; Gallo, Luigi; Pilato, Giovanni; Vella, Filippo
Automatic Image Annotation Using Random Projection in a Conceptual Space Induced from Data Proceedings Article
In: 2018 14th International Conference on Signal-Image Technology Internet-Based Systems (SITIS), pp. 464–471, 2018.
Abstract | Links | BibTeX | Tags: Feature extraction, Hidden Markov models, Image annotation, Modeling, Semantics, Visualization
@inproceedings{lacasciaAutomaticImageAnnotation2018,
title = {Automatic Image Annotation Using Random Projection in a Conceptual Space Induced from Data},
author = { Marco La Cascia and Giorgio Vassallo and Luigi Gallo and Giovanni Pilato and Filippo Vella},
doi = {10.1109/SITIS.2018.00077},
year = {2018},
date = {2018-11-01},
booktitle = {2018 14th International Conference on Signal-Image Technology Internet-Based Systems (SITIS)},
pages = {464--471},
abstract = {The main drawback of a detailed representation of visual content, whatever is its origin, is that significant features are very high dimensional. To keep the problem tractable while preserving the semantic content, a dimensionality reduction of the data is needed. We propose the Random Projection techniques to reduce the dimensionality. Even though this technique is sub-optimal with respect to Singular Value Decomposition its much lower computational cost make it more suitable for this problem and in particular when computational resources are limited such as in mobile terminals. In this paper we present the use of a ``conceptual'' space, automatically induced from data, to perform automatic image annotation. Images are represented by visual features based on color and texture and arranged as histograms of visual terms and bigrams to partially preserve the spatial information [1]. Using a set of annotated images as training data, the matrix of visual features is built and dimensionality reduction is performed using the Random Projection algorithm. A new unannotated image is then projected into the dimensionally reduced space and the labels of the closest training images are assigned to the unannotated image itself. Experiments on large real collection of images showed that the approach, despite of its low computational cost, is very effective.},
keywords = {Feature extraction, Hidden Markov models, Image annotation, Modeling, Semantics, Visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
The main drawback of a detailed representation of visual content, whatever is its origin, is that significant features are very high dimensional. To keep the problem tractable while preserving the semantic content, a dimensionality reduction of the data is needed. We propose the Random Projection techniques to reduce the dimensionality. Even though this technique is sub-optimal with respect to Singular Value Decomposition its much lower computational cost make it more suitable for this problem and in particular when computational resources are limited such as in mobile terminals. In this paper we present the use of a ``conceptual'' space, automatically induced from data, to perform automatic image annotation. Images are represented by visual features based on color and texture and arranged as histograms of visual terms and bigrams to partially preserve the spatial information [1]. Using a set of annotated images as training data, the matrix of visual features is built and dimensionality reduction is performed using the Random Projection algorithm. A new unannotated image is then projected into the dimensionally reduced space and the labels of the closest training images are assigned to the unannotated image itself. Experiments on large real collection of images showed that the approach, despite of its low computational cost, is very effective.
Cascia, Marco La; Vassallo, Giorgio; Gallo, Luigi; Pilato, Giovanni; Vella, Filippo
Automatic Image Annotation Using Random Projection in a Conceptual Space Induced from Data Proceedings Article
In: 2018 14th International Conference on Signal-Image Technology Internet-Based Systems (SITIS), pp. 464–471, 2018.
Abstract | Links | BibTeX | Tags: Feature extraction, Hidden Markov models, Image annotation, Modeling, Semantics, Visualization
@inproceedings{la_cascia_automatic_2018,
title = {Automatic Image Annotation Using Random Projection in a Conceptual Space Induced from Data},
author = {Marco La Cascia and Giorgio Vassallo and Luigi Gallo and Giovanni Pilato and Filippo Vella},
doi = {10.1109/SITIS.2018.00077},
year = {2018},
date = {2018-11-01},
booktitle = {2018 14th International Conference on Signal-Image Technology Internet-Based Systems (SITIS)},
pages = {464–471},
abstract = {The main drawback of a detailed representation of visual content, whatever is its origin, is that significant features are very high dimensional. To keep the problem tractable while preserving the semantic content, a dimensionality reduction of the data is needed. We propose the Random Projection techniques to reduce the dimensionality. Even though this technique is sub-optimal with respect to Singular Value Decomposition its much lower computational cost make it more suitable for this problem and in particular when computational resources are limited such as in mobile terminals. In this paper we present the use of a “conceptual” space, automatically induced from data, to perform automatic image annotation. Images are represented by visual features based on color and texture and arranged as histograms of visual terms and bigrams to partially preserve the spatial information [1]. Using a set of annotated images as training data, the matrix of visual features is built and dimensionality reduction is performed using the Random Projection algorithm. A new unannotated image is then projected into the dimensionally reduced space and the labels of the closest training images are assigned to the unannotated image itself. Experiments on large real collection of images showed that the approach, despite of its low computational cost, is very effective.},
keywords = {Feature extraction, Hidden Markov models, Image annotation, Modeling, Semantics, Visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
The main drawback of a detailed representation of visual content, whatever is its origin, is that significant features are very high dimensional. To keep the problem tractable while preserving the semantic content, a dimensionality reduction of the data is needed. We propose the Random Projection techniques to reduce the dimensionality. Even though this technique is sub-optimal with respect to Singular Value Decomposition its much lower computational cost make it more suitable for this problem and in particular when computational resources are limited such as in mobile terminals. In this paper we present the use of a “conceptual” space, automatically induced from data, to perform automatic image annotation. Images are represented by visual features based on color and texture and arranged as histograms of visual terms and bigrams to partially preserve the spatial information [1]. Using a set of annotated images as training data, the matrix of visual features is built and dimensionality reduction is performed using the Random Projection algorithm. A new unannotated image is then projected into the dimensionally reduced space and the labels of the closest training images are assigned to the unannotated image itself. Experiments on large real collection of images showed that the approach, despite of its low computational cost, is very effective.
Scianna, Andrea; Gaglio, Giuseppe Fulvio; Guardia, Marcello La
BIM Modelling of Ancient Buildings Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11196 LNCS, pp. 344–355, 2018, (Publisher: Springer Verlag).
Abstract | Links | BibTeX | Tags: 3D Modelling, Archaeological Site, Archaeology, Architectural design, Building components, Computer aided design, Cultural heritage, Cultural heritages, Electronic data interchange, Geo-spatial, HBIM, Historic Preservation, Information Management, Information Systems, Semantics, Structural design, Surveying, Three dimensional computer graphics
@article{scianna_bim_2018,
title = {BIM Modelling of Ancient Buildings},
author = {Andrea Scianna and Giuseppe Fulvio Gaglio and Marcello La Guardia},
editor = {Wallace M. Brumana R. Fink E.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055423142&doi=10.1007%2f978-3-030-01762-0_29&partnerID=40&md5=4803fe8c1e8d844de2a786296d5e530a},
doi = {10.1007/978-3-030-01762-0_29},
year = {2018},
date = {2018-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11196 LNCS},
pages = {344–355},
abstract = {In the last years, new procedures on design and management of constructions, based on 3D standardised models of building elements, have been proposed. It’s the case of Building Information Modelling (BIM) applications, that, differently from CAD ones, allow to work with libraries of 3D parametrical objects (smart objects) describing geometric, structural and material properties of building elements. This methodology is based on the Industry Foundation Classes (IFC) model, that represents a global standard for the building data exchange. Initially used for the design of new architectures, BIM methodology has been even more considered also for the management and the conservation of historical buildings, thanks to the possibilities of implementation of semantic information of 3D objects, guaranteed by the connection with the external database. At the same time, the lack of regular surfaces and standardised objects are relevant problems that nowadays strongly limit the use of BIM for Cultural Heritage (CH). Anyway, in recent times, the study of parameterised objects has opened new perspectives for BIM applications on historical buildings (HBIM). The present work shows the last achievements on this topic, focusing the problems derived from the application of BIM methodology to CH. In fact, the irregular shape of ancient architectural components, the wide variety of architectural languages that characterise historical buildings, the presence, sometimes, of different stratifications, are clear examples of the difficulties of implementing HBIM methodology for CH. © 2018, Springer Nature Switzerland AG.},
note = {Publisher: Springer Verlag},
keywords = {3D Modelling, Archaeological Site, Archaeology, Architectural design, Building components, Computer aided design, Cultural heritage, Cultural heritages, Electronic data interchange, Geo-spatial, HBIM, Historic Preservation, Information Management, Information Systems, Semantics, Structural design, Surveying, Three dimensional computer graphics},
pubstate = {published},
tppubtype = {article}
}
In the last years, new procedures on design and management of constructions, based on 3D standardised models of building elements, have been proposed. It’s the case of Building Information Modelling (BIM) applications, that, differently from CAD ones, allow to work with libraries of 3D parametrical objects (smart objects) describing geometric, structural and material properties of building elements. This methodology is based on the Industry Foundation Classes (IFC) model, that represents a global standard for the building data exchange. Initially used for the design of new architectures, BIM methodology has been even more considered also for the management and the conservation of historical buildings, thanks to the possibilities of implementation of semantic information of 3D objects, guaranteed by the connection with the external database. At the same time, the lack of regular surfaces and standardised objects are relevant problems that nowadays strongly limit the use of BIM for Cultural Heritage (CH). Anyway, in recent times, the study of parameterised objects has opened new perspectives for BIM applications on historical buildings (HBIM). The present work shows the last achievements on this topic, focusing the problems derived from the application of BIM methodology to CH. In fact, the irregular shape of ancient architectural components, the wide variety of architectural languages that characterise historical buildings, the presence, sometimes, of different stratifications, are clear examples of the difficulties of implementing HBIM methodology for CH. © 2018, Springer Nature Switzerland AG.
Scianna, Andrea; Guardia, Marcello La
Globe Based 3D GIS solutions for Virtual Heritage Proceedings Article
In: G., Labetski A. Stoter J. Agugiaro (Ed.): International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 171–177, International Society for Photogrammetry and Remote Sensing, 2018, (Issue: 4/W10).
Abstract | Links | BibTeX | Tags: Cultural heritage, Cultural heritages, Digital libraries, Geo-Spatial Informations, History, Interactive Environments, Multimedia information, Semantics, Surrounding environment, Three dimensional computer graphics, Virtual heritage, Virtual Reality, Web-GIS, WebGL
@inproceedings{scianna_globe_2018,
title = {Globe Based 3D GIS solutions for Virtual Heritage},
author = {Andrea Scianna and Marcello La Guardia},
editor = {Labetski A. Stoter J. Agugiaro G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056179414&doi=10.5194%2fisprs-archives-XLII-4-W10-171-2018&partnerID=40&md5=14439e37d85e8ca3c5b53ef4ba9f6491},
doi = {10.5194/isprs-archives-XLII-4-W10-171-2018},
year = {2018},
date = {2018-01-01},
booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
volume = {42},
pages = {171–177},
publisher = {International Society for Photogrammetry and Remote Sensing},
abstract = {During the last years, many solutions have been proposed for 3D Virtual Heritage representations. Recently, also new technologies for online gaming evolved, based on javascript libraries (WebGL), used to create and publish virtual interactive environments. They are based on recent Web browser's functionalities, surpassing some limitations of VRML technologies. On the side of geospatial information, technology has evolved from desktop GIS to 2D WebGIS and globe applications. The use of globe applications is, today, very diffused due to its immediate and at the same time impressive representation of the earth surface and territories. These technologies have been, also, applied to Virtual Heritage 3D reconstructions, to improve the fruition of Cultural Heritage (CH), with the achievement of interesting results. The topic of this paper is the experimentation on the fusion between globe based and gaming technologies (in our case WebGL) that allow achieving a more user-centric and powerful solution useful for publishing 3D geospatial information of CH on Web. This choice allows obtaining GIS oriented 3D models, typical of globe applications, and, at the same time, a more immersive exploration of CH and its surrounding environment. In particular, it also gives complementary text and multimedia information on the history, architectural features of each cultural good, based on querying of semantic information. The test field of the research is the construction of the 3D GIS virtual globe model of the Manfredonic Castle of Mussomeli (Sicily-Italy), developed for PON-NEPTIS EU Project, to compare open-source technologies and commercial proprietary applications. © Authors 2018. CC BY 4.0 License.},
note = {Issue: 4/W10},
keywords = {Cultural heritage, Cultural heritages, Digital libraries, Geo-Spatial Informations, History, Interactive Environments, Multimedia information, Semantics, Surrounding environment, Three dimensional computer graphics, Virtual heritage, Virtual Reality, Web-GIS, WebGL},
pubstate = {published},
tppubtype = {inproceedings}
}
During the last years, many solutions have been proposed for 3D Virtual Heritage representations. Recently, also new technologies for online gaming evolved, based on javascript libraries (WebGL), used to create and publish virtual interactive environments. They are based on recent Web browser's functionalities, surpassing some limitations of VRML technologies. On the side of geospatial information, technology has evolved from desktop GIS to 2D WebGIS and globe applications. The use of globe applications is, today, very diffused due to its immediate and at the same time impressive representation of the earth surface and territories. These technologies have been, also, applied to Virtual Heritage 3D reconstructions, to improve the fruition of Cultural Heritage (CH), with the achievement of interesting results. The topic of this paper is the experimentation on the fusion between globe based and gaming technologies (in our case WebGL) that allow achieving a more user-centric and powerful solution useful for publishing 3D geospatial information of CH on Web. This choice allows obtaining GIS oriented 3D models, typical of globe applications, and, at the same time, a more immersive exploration of CH and its surrounding environment. In particular, it also gives complementary text and multimedia information on the history, architectural features of each cultural good, based on querying of semantic information. The test field of the research is the construction of the 3D GIS virtual globe model of the Manfredonic Castle of Mussomeli (Sicily-Italy), developed for PON-NEPTIS EU Project, to compare open-source technologies and commercial proprietary applications. © Authors 2018. CC BY 4.0 License.
2014
Scianna, Andrea; Gristina, Susanna; Paliaga, Silvia
Experimental BIM applications in archaeology: A work-flow Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8740, pp. 490–498, 2014, (Publisher: Springer Verlag).
Abstract | Links | BibTeX | Tags: Archaeological Site, Archaeology, Architectural design, BIM, Data export, Database systems, History, Semantic Model, Semantic Web, Semantics, Social networking (online), Web documentation
@article{scianna_experimental_2014,
title = {Experimental BIM applications in archaeology: A work-flow},
author = {Andrea Scianna and Susanna Gristina and Silvia Paliaga},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911945081&doi=10.1007%2f978-3-319-13695-0&partnerID=40&md5=afa2444b3a602b178283e29c86786bd5},
doi = {10.1007/978-3-319-13695-0},
year = {2014},
date = {2014-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {8740},
pages = {490–498},
abstract = {In the last few decades various conceptual models, methods and techniques have been studied to allow 3D digital access to Cultural Heritage (CH). Among these is BIM (Building Information Modeling): originally built up for construction projects, it has been already experimented in the CH domain, but not enough in the archaeological field. This paper illustrates a framework to create 3D archaeological models integrated with databases using BIM. The models implemented are queryable by the connection with a Relational Database Management System and sharable on the web. Parametric solid and semantic models are integrated with 3D standardized database models that are finally manageable in the public cloud. The BIM application’s work-flow here described has been experimented on the Roman structures inside the Crypt of St. Sergius and Bacchus Church (Rome). The experiment has highlighted capabilities and limitations of BIM applications in the archaeological domain. © Springer International Publishing Switzerland 2014.},
note = {Publisher: Springer Verlag},
keywords = {Archaeological Site, Archaeology, Architectural design, BIM, Data export, Database systems, History, Semantic Model, Semantic Web, Semantics, Social networking (online), Web documentation},
pubstate = {published},
tppubtype = {article}
}
In the last few decades various conceptual models, methods and techniques have been studied to allow 3D digital access to Cultural Heritage (CH). Among these is BIM (Building Information Modeling): originally built up for construction projects, it has been already experimented in the CH domain, but not enough in the archaeological field. This paper illustrates a framework to create 3D archaeological models integrated with databases using BIM. The models implemented are queryable by the connection with a Relational Database Management System and sharable on the web. Parametric solid and semantic models are integrated with 3D standardized database models that are finally manageable in the public cloud. The BIM application’s work-flow here described has been experimented on the Roman structures inside the Crypt of St. Sergius and Bacchus Church (Rome). The experiment has highlighted capabilities and limitations of BIM applications in the archaeological domain. © Springer International Publishing Switzerland 2014.