How to Keep a Reference Ontology Relevant to the Industry: A Case Study from the Smart Home

Daniele, Laura; Hartog, Frank den; Roes, Jasper

doi:10.1007/978-3-319-33245-1_12

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…In 2013, the European Commission launched a standardisation initiative together with ETSI in close interaction with the smart appliances industry to create an interoperability language for the various smart and networked devices from different manufacturers that co-exist in our homes. This initiative resulted in the Smart Appliances REFerence ontology (SAREF) 7 (Daniele et al, 2015), which was developed with the smart home market (Daniele et al, 2016) and subsequently published as an ETSI Technical Specification. 8 At first, this ontology was built as a reference model targeting smart appliance solutions for the energy efficiency optimisation in the smart home domain, e.g., from lamps and consumer electronics to white goods, such as washing machines and ovens.…”

Section: Etsi Smart Applications Reference Ontology (Saref)mentioning

confidence: 99%

SAREF4health: Towards IoT standard-based ontology-driven cardiac e-health systems

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

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Section: Etsi Smart Applications Reference Ontology (Saref)mentioning

confidence: 99%

SAREF4health: Towards IoT standard-based ontology-driven cardiac e-health systems

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“…For example, a smoke sensor (belonging to the class saref:Sensor), performs a saref:SensingFunction. SAREF is suited to describe indoor environment devices and is created with RDF/OWL, as well as already exploited in several studies on interoperability among devices [71]. SAREF has been adopted to describe the devices deployed in the room used for RoomFort tests (see further Section 5); in particular, for each device its type (sensor, actuator, appliance, light, etc.)…”

Section: Devices Deployed In the Room Modulementioning

confidence: 99%

RoomFort: An Ontology-Based Comfort Management Application for Hotels

et al. 2018

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Business traveling is attracting growing attention due to the expansion of international markets. This fact calls for an increasing attention of the tourism sector toward the needs of business travellers, who often require services that are different from the ones desired by leisure tourists. The application of smart solutions coming from Context Awareness and Ambient Intelligence aimed at promoting guests' comfort and well-being, also in cases in which they have special needs, represents a promising solution to tackle business travellers' requirements and thus, to increase hotels attractiveness and incomes. In this context, this work introduces RoomFort, a smart comfort management system aimed at enhancing comfort of hotel room guests and leveraging on semantic representations of comfort, environment, and sensors. RoomFort provides a set of domain ontologies to formalize comfort-related metrics and to exploit the automatic reasoning capabilities provided by Semantic Web technologies, while gathering data through a network of sensors to ensure guests are provided with tailored comfort profiles during their stays in the hotel. Particular focus has been placed on visual comfort, since indoor lighting features constitute one of the main factors influencing the two main activities that most business travellers accomplish in their hotel room: working and relaxing.

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“…However, Home automation systems have some drawbacks. The development of home automation systems with a proper balance between usability, user experience, performance, and security can be challenging [12] [27]. Smart homes have a wide variety of users in different age groups [14], and because of the age group diversity, developers have to level down the differences in people's interaction with IoT.…”

Section: Introductionmentioning

confidence: 99%

The Present State of Home Automation: A Systematic Literature Review

Yaldaie¹,

Porras²,

Drögehorn³

2023

IJHIT

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Since ancient times, people have been trying to make life easier, for example, by bringing water to homes and taking care of wastewater through channelization. With the advancements in technology over the past few decades, people have gained access to smart devices and computerized systems, enabling us to automate tasks. For example, motion sensors help to automatically turn on the lights when entering a building. Also, remotecontrolled, voice-controlled, and gesture-controlled devices are becoming smarter and enabling various types of activities. The objective of this literature review is to be a valuable source for software engineers to gain a better understanding of the current achievements in smart home development. This paper explores technological advancements, including the usability and security aspects of home automation. The authors choose four digital libraries to research published case studies related to the selected number of smart home domains. Papers with distinct titles that are written in English and are more than three pages are selected as research material. Furthermore, thematic analysis was performed to extract data linked to the research questions. Most of the chosen case studies are performed in labs. This literature review found that a portion of the current products overlooked the basic security and privacy enhancements in favor of usability or vice versa. The present research concluded that adequate knowledge management has the potential to improve smart home technology. Additionally, developers should not skip any of the three layers of the development architecture (UI layer, communication layer, and software system layer) because each stage is dedicated to addressing existing weaknesses in smart home products. The paper's findings provide potential solutions for developing better smart home devices in the future.

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How to Keep a Reference Ontology Relevant to the Industry: A Case Study from the Smart Home

Cited by 5 publications

References 3 publications

SAREF4health: Towards IoT standard-based ontology-driven cardiac e-health systems

SAREF4health: Towards IoT standard-based ontology-driven cardiac e-health systems

RoomFort: An Ontology-Based Comfort Management Application for Hotels

The Present State of Home Automation: A Systematic Literature Review

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