IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services.

Published on Feb 11, 2020in Sensors3.576
· DOI :10.3390/S20040953
Tarek Elsaleh12
Estimated H-index: 12
(University of Surrey),
Shirin Enshaeifar9
Estimated H-index: 9
(University of Surrey)
+ 3 AuthorsMaria Bermudez-Edo11
Estimated H-index: 11
(UGR: University of Granada)
With the proliferation of sensors and IoT technologies, stream data are increasingly stored and analyzed, but rarely combined, due to the heterogeneity of sources and technologies. Semantics are increasingly used to share sensory data, but not so much for annotating stream data. Semantic models for stream annotation are scarce, as generally semantics are heavy to process and not ideal for Internet of things (IoT) environments, where the data are frequently updated. We present a light model to semantically annotate streams, IoT-Stream. It takes advantage of common knowledge sharing of the semantics, but keeping the inferences and queries simple. Furthermore, we present a system architecture to demonstrate the adoption the semantic model, and provide examples of instantiation of the system for different use cases. The system architecture is based on commonly used architectures in the field of IoT, such as web services, microservices and middleware. Our system approach includes the semantic annotations that take place in the pipeline of IoT services and sensory data analytics. It includes modules needed to annotate, consume, and query data annotated with IoT-Stream. In addition to this, we present tools that could be used in conjunction to the IoT-Stream model and facilitate the use of semantics in IoT.
đź“– Papers frequently viewed together
4 Authors (Sejin Chun, ..., Kyong-Ho Lee)
#1Roonak Rezvani (University of Surrey)H-Index: 4
#2Shirin Enshaeifar (University of Surrey)H-Index: 9
Last. Payam Barnaghi (University of Surrey)H-Index: 32
view all 3 authors...
Edge computing can improve the scalability and efficiency of IoT systems by performing some of the analysis and operations on the nodes or on intermediary edge devices. This will reduce the energy consumption, data transmission load and latency by shifting some of the processes to the edge devices. In this paper, we introduce a pattern extraction method which uses both the Lagrangian Multiplier and the Principal Component Analysis (PCA) to create patterns from raw sensory data. We have evaluated...
#1Pedro Gonzalez-Gil (University of Murcia)H-Index: 3
#2Antonio F. Skarmeta (University of Murcia)H-Index: 39
Last. Juan A. MartinezH-Index: 9
view all 3 authors...
As a consequence of the massive adoption of IoT technologies in a wide spectrum of applications, from Smart Cities to Smart Agriculture, security has become a great concern. Many different technologies and devices, often constrained by energy consumption, size or price, make for a complex and difficult scene. Added to that, a broad range of data consumers and agents interacting with those systems have different requirements and expectations regarding security and privacy, while existing approach...
#1Sefki Kolozali (University of Essex)H-Index: 9
#2Maria Bermudez-Edo (University of Surrey)H-Index: 11
Last. Ralf TönjesH-Index: 14
view all 11 authors...
An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy imposes on current applications and information systems. Smart city applications enable city authorities to monitor, manage, and provide plans for public resources and infrastructures in city environments, while offering citizens and businesses to develop and use intelligent services in cities. However, providing such smart city applications g...
#1Jorge Lanza (UC: University of Cantabria)H-Index: 12
#2Luis Sanchez (UC: University of Cantabria)H-Index: 18
Last. Pablo Sotres (UC: University of Cantabria)H-Index: 9
view all 5 authors...
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non-interoperable IoT platforms into a common ecosystem enabling the emergence of cross-platform, cross-standard, and cross-domain IoT services...
#1Nenad GligoricH-Index: 10
#2Srdjan KrcoH-Index: 17
Last. Rob van KranenburgH-Index: 4
view all 9 authors...
In this paper, we present a method that facilitates Internet of Things (IoT) for building a product passport and data exchange enabling the next stage of the circular economy. SmartTags based on printed sensors (i.e., using functional ink) and a modified GS1 barcode standard enable unique identification of objects on a per item-level (including Fast-Moving Consumer Goods—FMCG), collecting, sensing, and reading of parameters from environment as well as tracking a products’ lifecycle. The develope...
Sep 28, 2018 in IOT (The Internet of Things)
#1Euripides G. M. Petrakis (TUC: Technical University of Crete)H-Index: 23
#2Stelios Sotiriadis (Birkbeck, University of London)H-Index: 22
Last. Nik Bessis (Edge Hill University)H-Index: 29
view all 6 authors...
Abstract Building upon cloud, IoT and smart sensors technologies we design and develop an IoT as a Service (iTaaS) framework, that transforms a user’s mobile device (e.g. a smart phone) to an IoT gateway which allows for fast and efficient data streams transmission to the cloud. We develop a two-fold solution, based on micro-services for the IoT (users’ smart devices) and the cloud side (back-end services). iTaaS includes configurations for (a) the IoT side to support data collection from IoT de...
Jun 7, 2018 in IOT (The Internet of Things)
#1Antonio F. Skarmeta (University of Murcia)H-Index: 39
#2José Santa (University of Murcia)H-Index: 18
Last. Hien Thi Thu TruongH-Index: 7
view all 14 authors...
The Internet of Things (IoT) offers an incredible innovation potential for developing smarter applications and services. However, today we see solutions in the development of vertical applications and services reflecting what used to be the early days of the Web, leading to fragmentation and intra-nets of Things. To achieve an open IoT ecosystem of systems and platforms, several key enablers are needed for effective, adaptive and scalable mechanisms for exploring and discovering IoT resources an...
#1Shirin Enshaeifar (University of Surrey)H-Index: 9
#2Ahmed Zoha (University of Surrey)H-Index: 13
Last. Payam Barnaghi (University of Surrey)H-Index: 32
view all 13 authors...
The number of people diagnosed with dementia is expected to rise in the coming years. Given that there is currently no definite cure for dementia and the cost of care for this condition soars dramatically, slowing the decline and maintaining independent living are important goals for supporting people with dementia. This paper discusses a study that is called Technology Integrated Health Management (TIHM). TIHM is a technology assisted monitoring system that uses Internet of Things (IoT) enabled...
#1Marjan AlirezaieH-Index: 6
#2Karl HammarH-Index: 9
Last. Valentina IvanovaH-Index: 13
view all 5 authors...
In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. ...
Jun 1, 2017 in UbiComp (Ubiquitous Computing)
#1Maria Bermudez-Edo (UGR: University of Granada)H-Index: 11
#2Tarek Elsaleh (University of Surrey)H-Index: 12
Last. Kerry Taylor (ANU: Australian National University)H-Index: 44
view all 4 authors...
Over the past few years, the semantics community has developed several ontologies to describe concepts and relationships for internet of things (IoT) applications. A key problem is that most of the IoT-related semantic descriptions are not as widely adopted as expected. One of the main concerns of users and developers is that semantic techniques increase the complexity and processing time, and therefore, they are unsuitable for dynamic and responsive environments such as the IoT. To address this...
Cited By20
#1Deepak SuryaH-Index: 1
#2Gerard DeepakH-Index: 15
view all 3 authors...
Data mining in real-time data streams is associated with multiple types of uncertainty, which often leads the respective categorizers to make erroneous predictions related to the presence or absence of complex events. But recognizing complex abnormal events, even those that occur in extremely rare cases, offers significant support to decision-making systems. Therefore, there is a need for robust recognition mechanisms that will be able to predict or recognize when an abnormal event occurs or wil...
#1Besmir SejdiuH-Index: 4
#2Florije IsmailiH-Index: 5
Last. Lule AhmediH-Index: 9
view all 3 authors...
Sensors and other Internet of Things (IoT) technologies are increasingly finding application in various fields, such as air quality monitoring, weather alerts monitoring, water quality monitoring, healthcare monitoring, etc. IoT sensors continuously generate large volumes of observed stream data; therefore, processing requires a special approach. Extracting the contextual information essential for situational knowledge from sensor stream data is very difficult, especially when processing and int...
#1Xiaoli Ren (National University of Defense Technology)H-Index: 4
#2Kaijun Ren (National University of Defense Technology)H-Index: 10
Last. Kefeng Deng (National University of Defense Technology)H-Index: 9
view all 7 authors...
Massive ocean data acquired by various observing platforms and sensors poses new challenges to data management and utilization. Typically, it is difficult to find the desired data from the large amount of datasets efficiently and effectively. Most of existing methods for data discovery are based on the keyword retrieval or direct semantic reasoning, and they are either limited in data access rate or do not take the time cost into account. In this paper, we creatively design and implement a novel...
#1Athman Bouguettaya (USYD: University of Sydney)H-Index: 48
#2Quan Z. Sheng (Macquarie University)H-Index: 53
Last. Lina Yao (UNSW: University of New South Wales)H-Index: 43
view all 0 authors...
We propose a roadmap for leveraging the tremendous opportunities the Internet of Things (IoT) has to offer. We argue that the combination of the recent advances in service computing and IoT technology provide a unique framework for innovations not yet envisaged, as well as the emergence of yet-to-be-developed IoT applications. This roadmap covers: emerging novel IoT services, articulation of major research directions, and suggestion of a roadmap to guide the IoT and service computing community t...
#2Laure Gossec (University of Paris)H-Index: 79
Last. Thomas Davergne (University of Paris)H-Index: 4
view all 5 authors...
Resume Tous les domaines de notre vie sont actuellement influences par la numerisation. Une grande variete d’outils connectes et de sites internet sur la sante est actuellement disponible. Les traceurs d’activites sont une option efficace pour augmenter l’activite physique chez les patients atteints de maladies rhumatologiques chroniques a risque d’inactivite, avec un niveau d’adhesion a court terme excellent. La sante mobile au travers des applications smartphone est utilisee pour soutenir la p...
Recent technologies in the Internet of Things (IoT) environment aim to provide intelligent services to users. Intelligent services can be managed and executed by systems that handle context information sets. Handling intelligent services leads to three major considerations: objects in the real world that should be described as metadata, a data enrichment procedure from sensing values for representing states, and controlling functionalities to manage services. In this study, an extensible data-en...
#1Taiwo KolajoH-Index: 3
#2Olawande DaramolaH-Index: 10
Last. A. A. AdebiyiH-Index: 8
view all 3 authors...
Apr 1, 2021 in VTC (Vehicular Technology Conference)
#3Adnan BekanH-Index: 3
#1Nasr Kasrin (University of Bamberg)H-Index: 2
#2Aboubakr Benabbas (University of Bamberg)H-Index: 3
Last. Michael SĂĽnkel (University of Bamberg)
view all 6 authors...
The recent evolution of the Internet of Things into a cyber-physical reality has spawned various challenges from a data management perspective. In addition, IoT platform designers are faced with another set of questions. How can platforms be extended to smoothly integrate new data management functionalities? Currently, data processing related tasks are typically realized by manually developed code and functions which creates difficulties in maintenance and growth. Hence we need to explore other ...
This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.