Search

Your search keyword '"Daniele, Laura"' showing total 5 results
Start Over Author "Daniele, Laura" Topic internet of things
5 results on '"Daniele, Laura"'

1. Supporting Smart Home Scenarios Using OWL and SWRL Rules.

Author

Reda R, Carbonaro A, de Boer V, Siebes R, van der Weerdt R, Nouwt B, and Daniele L

Subjects
Internet of Things
Abstract

Despite the pervasiveness of IoT domotic devices in the home automation landscape, their potential is still quite under-exploited due to the high heterogeneity and the scarce expressivity of the most commonly adopted scenario programming paradigms. The aim of this study is to show that Semantic Web technologies constitute a viable solution to tackle not only the interoperability issues, but also the overall programming complexity of modern IoT home automation scenarios. For this purpose, we developed a knowledge-based home automation system in which scenarios are the result of logical inferences over the IoT sensors data combined with formalised knowledge. In particular, we describe how the SWRL language can be employed to overcome the limitations of the well-known trigger-action paradigm. Through various experiments in three distinct scenarios, we demonstrated the feasibility of the proposed approach and its applicability in a standardised and validated context such as SAREF.

Published
2022
Full Text
View/download PDF

2. Interoperability for Smart Appliances in the IoT World

Author

Daniele, Laura, Solanki, Monika, den Hartog, Frank, Roes, Jasper, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Groth, Paul, editor, Simperl, Elena, editor, Gray, Alasdair, editor, Sabou, Marta, editor, Krötzsch, Markus, editor, Lecue, Freddy, editor, Flöck, Fabian, editor, and Gil, Yolanda, editor

Published
2016
Full Text
View/download PDF

4. Validating SAREF in a Smart Home Environment

Author

van der Weerdt, Roderick, de Boer, Victor, Daniele, Laura, Nouwt, Barry, Garoufallou, Emmanouel, Ovalle-Perandones, María-Antonia, Garoufallou, Emmanouel, Ovalle-Perandones, María-Antonia, Business Web and Media, Network Institute, and Intelligent Information Systems

Subjects
IoT, Computer science, business.industry, Ontology, Interoperability, 02 engineering and technology, computer.file_format, Ontology (information science), Data mapping, Raspberry pi, Smart home, Order (business), Home automation, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, SDG 7 - Affordable and Clean Energy, RDF, Internet of Things, business, Software engineering, computer
Abstract

SAREF is an ontology created to enable interoperability between smart devices. While the IoT community has shown interest and understanding of SAREF as a means for interoperability, there is a lack in the literature of practical examples to implement SAREF in real applications. In order to validate the practical implementation of SAREF we perform two experiments. First we map IoT data available in a smart home into RDF using SAREF. In the second part of the paper an IoT environment is created by using the Knowledge Engine, a framework created to allow communication between smart devices, operating on Raspberry Pi’s emulating IoT devices, where the communication of the IoT devices is performed by sharing knowledge represented with SAREF. These experiments demonstrate that SAREF is an ontology that is successfully applicable in different situations, with data-mapping showing that SAREF is able to represent the information of different smart devices and by using the Knowledge Engine showing that SAREF can enable interoperability between smart devices.

Published
2021

5. SAREF4health: towards IoT standard-based ontology-driven cardiac e-health systems

Author

Moreira, João, Pires, Luís Ferreira, Van Sinderen, Marten, Daniele, Laura, Girod-Genet, Marc, University of Twente [Netherlands], The Netherlands Organisation for Applied Scientific Research (TNO), Institut Polytechnique de Paris (IP Paris), Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (RS2M), and Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)

Subjects
SAREF, ECG, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Internet of Things, Ontology-driven conceptual modelling, Ontology-driven healthcare
Abstract

International audience; Recently, a number of ontology-driven healthcare systems have been leveraged by the Internet-of-Things (IoT) 11 technologies, which offer opportunities to improve abnormal situation detection when integrating medical wearables and cloud 12 infrastructure. Usually, these systems rely on standardised IoT ontologies to represent sensor data observations. The ETSI 13 Smart Applications REFerence ontology (SAREF) is an extensible industry-oriented standard. In this paper, we explain the 14 need for interoperability of IoT healthcare applications and the role of standardised ontologies to achieve semantic 15 interoperability. In particular, we discuss the verbosity problem of SAREF when used for real-time electrocardiography (ECG), 16 emphasizing the requirement of representing time series. We compared the main ontologies in this context, according to 17 quality, message size (payload), IoT-orientation and standardisation. Here we describe the first attempt to extend SAREF for 18 specific e-Health use cases related to ECG data, the SAREF4health extension, which tackles the verbosity problem. Ontology-19 driven conceptual modelling was applied to develop SAREF4health, in which an ECG ontology grounded in the Unified 20 Foundational Ontology (UFO) plays the role of a reference model. The methodology was enhanced by following a 21 standardisation procedure and considering the RDF implementation of the HL7 Fast Healthcare Interoperability Resources 22 (FHIR) standard. The validation of SAREF4health includes the responses to competency questions, as well as the development 23 and tests of an IoT Early Warning System prototype that uses ECG data and collision identification to detect accidents with 24 truck drivers in a port area. This prototype integrates an existing ECG wearable with a cloud infrastructure, demonstrating the 25 performance impact of SAREF4health considering IoT constraints. Our results show that SAREF4health enables the semantic 26 interoperability of IoT solutions that need to deal with frequency-based time series. Design decisions regarding the trade-off 27 between ontology quality and aggregation representation are also discussed.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results