A Semantic-Agent Framework for PaaS Interoperability

Suchismita Hoare, Na Helian, and Nathan Baddoo, 'A Semantic-Agent Framework for PaaS Interoperability', in Proceedings of the The IEEE International Conference on Cloud and Big Data Computing, Toulouse, France, 18-21, July 2016. DOI: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0126 © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Cloud Platform as a Service (PaaS) is poised for a wider adoption by its relevant stakeholders, especially Cloud application developers. Despite this, the service model is still plagued with several adoption inhibitors, one of which is lack of interoperability between proprietary application infrastructure services of public PaaS solutions. Although there is some progress in addressing the general PaaS interoperability issue through various devised solutions focused primarily on API compatibility and platform-agnostic application design models, interoperability specific to differentiated services provided by the existing public PaaS providers and the resultant disparity owing to the offered services’ semantics has not been addressed effectively, yet. The literature indicates that this dimension of PaaS interoperability is awaiting evolution in the state-of-the-art. This paper proposes the initial system design of a PaaS interoperability (IntPaaS) framework to be developed through the integration of semantic and agent technologies to enable transparent interoperability between incompatible PaaS services. This will involve uniform description through semantic annotation of PaaS provider services utilizing the OWL-S ontology, creating a knowledgebase that enables software agents to automatically search for suitable services to support Cloud-based Greenfield application development. The rest of the paper discusses the identified research problem along with the proposed solution to address the issue.Submitted Versio

hbim in a semantic 3d gis database

Abstract. This work describes the different attempts and the consequent results derived from the integration of an HBIM model into an already structured spatial database (DB) and its 3D visualisation in a GIS project.This study is connected to the European ResCult (Increasing Resilience of Cultural Heritage) project where a DB for multiscale analyses was defined. To test the methodology proposed, the case study of Santa Maria dei Miracoli church in Venice was chosen since it represents a complex architectural heritage piece in a risk zone, it has been subject to a vast restoration intervention in the recent past but a digital documentation and model concerning it was missing.The 3D model of the church was structured in Revit as a HBIM, with the association of different kind of information and data related to the architectural elements by means of 'shared parameters' and 'system families'. This procedure allows to reach an even higher Level of Detail (LOD4), but lead to some issues related to the semantic and software interoperability. To solve these problems the existing DB for the resilience of cultural heritage was extended adding a new entity representing the architectural elements designed in the BIM project.The aim of the test is to understand how the data and attributes inserted in the HBIM are converted and handled when dealing with a GIS DB, stepping from the IFC to the CityGML standard, through the FME software.</p

Experimentation of an Information Model

[EN] Wanting to answer the questions unsolved by a previous study supported by a survey with total station, this article illustrates the results obtained with 3D laser scanning acquisitions and photo shot datasets. The precision provided by the phase shift ranging scanner technology has allowed to measure to the millimeter the deviation between the surveyed model (objective of reality, although discontinuous) and the geometric model on these data interpreted. In addition, the mathematical hypotheses useful for parametric modelling (geometry processing) are discussed. Virtualizations have been created by adopting knowledge filters and scientific tools that address to the digital (re)construction (HBIM) that allows to share and manage information and to integrate interoperable models in accordance with current public procurement regulations.University Luigi Vanvitelli under the Valere Plus programme, an-nouncement D.R. 102 of 01/02/2019Rossi, A.; Palmieri, U. (2020). Experimentation of an Information Model. VITRUVIO - International Journal of Architectural Technology and Sustainability. 5(1):37-46. https://doi.org/10.4995/vitruvio-ijats.2020.13639OJS374651Abbate, C.; Spina, M.; Zevi, A. (2010) Una guida all'architettura frugale. Iacobelli editore: Guidonia, Italy.Arayici, Y. (2009) Towards building information modelling for existing structures. Structural Survey 2009, 26(3), 210-222. https://doi.org/10.1108/02630800810887108Benedetti, B.; Gaiani, M.; Remondino, F. (2011) Modelli digitali 3D in archeologia: il caso di Pompei. Scuola Normale Superiore: Pisa, Italy.Eastman, C. (2008) BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. John Wiley & Sons: New York, USAGuidi, G.; Russo, M.; Beraldin, J. (2010) Acquisizione 3D e modellazione poligonale. McGraw-Hill: Milano, ItalyHistoric England. (2017) BIM for Heritage: Developing a Historic Building Information Model. Historic England: Swindon, UKKarmazyn, H. (2017) Dal modello sperimentale al modello matematico. Graduate thesis in "Civil, Building and Environmental Engineering", Departement of Engineering Civil, Design (DI cDEA) Università degli Studi della Campania Luigi Vanvitelli Aversa (CE), Italy. Tutor: Prof. Adriana RossiLima, A.I.; Arnaboldi, M.A. (2004) Ri-pensare Soleri. Jaca Book: Milano, ItalyMcCullough, L. (2010) Conversations with Paolo Soleri. Princeton Architectural Press: New York, USAMigliari, R. (2004) Disegno come Modello. Edizioni Kappa: Roma, ItalyRiley, T.; Reed, P. (2007) Frank Lloyd Wright: 1867-1959. Mondadori Electa: Milano, ItalyRossi, A.; Palmieri, U. (2018) (In)tangibili caratteristiche: ripresentazioni integrate di un tompagno in terracotta. In Proceedings of the 40° Convegno Internazionale dei Docenti delle Discipline della Rappresentazione / XV Congresso della Unione Italiana per il Disegno, Milano, Italy, 13-15 September 2018. Gangemi Editore: Roma, Italy, pp. 1553-1560.Ryan, K. (2002) Paolo Soleri. Itinerario di architettura. Antologia degli scritti. Jaca Book: Milano, Italy.Tang, P.; Huberb, D.; Akincic, B.; Lipmand, R.; Lytlee, A. (2010) Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction 2010, 19, 829-843. https://doi.org/10.1016/j.autcon.2010.06.007Zevi, B. (2010) Storia dell'architettura moderna. Vol. 2; Einaudi: Torino, Ital

DRIVER Technology Watch Report

This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field

HBIM in a semantic 3D GIS database

This work describes the different attempts and the consequent results derived from the integration of an HBIM model into an already structured spatial database (DB) and its 3D visualisation in a GIS project. This study is connected to the European ResCult (Increasing Resilience of Cultural Heritage) project where a DB for multiscale analyses was defined. To test the methodology proposed, the case study of Santa Maria dei Miracoli church in Venice was chosen since it represents a complex architectural heritage piece in a risk zone, it has been subject to a vast restoration intervention in the recent past but a digital documentation and model concerning it was missing. The 3D model of the church was structured in Revit as a HBIM, with the association of different kind of information and data related to the architectural elements by means of ‘shared parameters’ and ‘system families’. This procedure allows to reach an even higher Level of Detail (LOD4), but lead to some issues related to the semantic and software interoperability. To solve these problems the existing DB for the resilience of cultural heritage was extended adding a new entity representing the architectural elements designed in the BIM project. The aim of the test is to understand how the data and attributes inserted in the HBIM are converted and handled when dealing with a GIS DB, stepping from the IFC to the CityGML standard, through the FME software

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications