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Pushing the Scalability of RDF Engines on IoT Edge Devices

Anh Le-Tuan, Conor Hayes, Manfred Hauswirth, Danh Le-Phuoc
2020 Sensors  
Our focus is on how to enable scalable and robust RDF engines that can operate on lightweight devices.  ...  RDF processing at the edge facilitates the deployment of semantic integration gateways closer to low-level devices.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20102788 pmid:32422961 pmcid:PMC7284853 fatcat:tenvgwxuuvazzc3zzy4vxlgjve

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing [chapter]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2017 Lecture Notes in Computer Science  
scalability over state-of-the-art engines with our approach to query translation and distribution for a published IoT benchmark on resource-constrained nodes and 4) position Fog Computing within the Internet  ...  Fog computing is an emerging technology for the Internet of Things (IoT) that aims to support processing on resource-constrained distributed nodes in between the sensors and actuators on the ground and  ...  However, neither of the engines are designed to work on IoT streams or for Fog Computing scenarios yet.  ... 
doi:10.1007/978-3-319-70284-1_20 fatcat:5bzicrvlbrffjnwvzdkgo7wm5i

Distribution of Semantic Reasoning on the Edge of Internet of Things

Xiang Su, Pingjiang Li, Jukka Riekki, Xiaoli Liu, Jussi Kiljander, Juha-Pekka Soininen, Christian Prehofer, Huber Flores, Yuhong Li
2018 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom)  
However, the big volume of the data generated by IoT devices and resource limitations of these devices have given rise to challenges for applying semantic technologies.  ...  Semantics associates meaning with Internet of Things (IoT) data and facilitates the development of intelligent IoT applications and services.  ...  The first author would like to thank Jorma Ollila Grant for funding this research.  ... 
doi:10.1109/percom.2018.8444596 dblp:conf/percom/SuLRLKSPFL18 fatcat:6wtxjdbr2zfy5jptr4nqflcxhy

A Semantic-Enabled Framework for Future Internet of Things Applications

Umesh Bellur, Pankesh Patel, Saurabh Chauhan, Yongrui Qin
2017 2017 IEEE World Congress on Services (SERVICES)  
While the challenge of connecting Internet of Things (IoT) devices at the lowest layer has been widely studied, integrating and interoperating huge amounts of sensed data of heterogeneous IoT devices is  ...  First, it has high demands on the device's storage and computational capabilities.  ...  As a key enabling step for on-device processing, it is essential to push reasoning (it is a way to acquire new knowledge from RDF data) towards the edge of system, where various gateway devices are deployed  ... 
doi:10.1109/services.2017.26 dblp:conf/services/BellurPCQ17 fatcat:pgnufrlzerbllhsi77wpjiushi

Incorporating Blockchain into RDF Store at the Lightweight Edge Devices [chapter]

Anh Le-Tuan, Darshan Hingu, Manfred Hauswirth, Danh Le-Phuoc
2019 Lecture Notes in Computer Science  
This paper presents the first RDF store with blockchain that enables lightweight edge devices to control of the data sharing processes (personal, IoT data).  ...  Our novel approach on the deep integration of the storage design for RDF store enables the ability to enforce controlling measures on access methods and auditing policies over data elements via smart contracts  ...  The experiments proved that the system can be deployed on a network of lightweight edge devices such as Raspberry Pis.  ... 
doi:10.1007/978-3-030-33220-4_27 fatcat:tx2wmzdfdne3lew52u6afxtl54

A Semantic-Enabled Platform for Realizing an Interoperable Web of Things

Jorge Lanza, Luis Sánchez, David Gómez, Juan Ramón Santana, Pablo Sotres
2019 Sensors  
domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.  ...  Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.  ...  Acknowledgments: The authors would like to thank the FIESTA-IoT consortium for the fruitful discussions. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/s19040869 fatcat:xxr2izmpqrgsjms4p4md4d7ggy

Scalable IoT Platform for Heterogeneous Devices in Smart Environments

Asad Javed, Avleen Malhi, Tuomas Kinnunen, Kary Framling
2020 IEEE Access  
.: Scalable IoT Platform for Heterogeneous Devices in Smart Environments FIGURE 1. Basic features of edge, gateway, and cloud for IoT applications  ...  This paper introduces an open and scalable IoT platform by adopting the modular characteristics of edge computing for smart environments.  ...  and Academy of Finland (Open Messaging Interface; grant 296096).  ... 
doi:10.1109/access.2020.3039368 fatcat:sisnunwnibhexesjdv5grug5su

Experiences with smart city traffic pilot

Susanna Pirttikangas, Ekaterina Gilman, Xiang Su, Teemu Leppanen, Anja Keskinarkaus, Mika Rautiainen, Mikko Pyykkonen, Jukka Riekki
2016 2016 IEEE International Conference on Big Data (Big Data)  
We are building Smart City Traffic Pilot on top of the infrastructure to provide the functionality to collect the data and perform the analysis.  ...  The infrastructure built in the City of Oulu provides rich information about the city environment and objects moving in it.  ...  ACKNOWLEDGMENT This work was supported by Tekes as part of the Data to Intelligence Program of DIGILE: Finnish Strategic Centre for Science, Technology and Innovation in the field of ICT and digital business  ... 
doi:10.1109/bigdata.2016.7840741 dblp:conf/bigdataconf/PirttikangasGSL16 fatcat:j3lxwf7rtvdabmn4ca77lqfh34

Semantic Models for Scalable Search in the Internet of Things

Richard Mietz, Sven Groppe, Kay Römer, Dennis Pfisterer
2013 Journal of Sensor and Actuator Networks  
The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings.  ...  In particular, we describe how prediction models can be employed for scalable sensor search, how these prediction models can be encoded as RDF, and how the models can be queried by means of SPARQL.  ...  Acknowledgements This work has been partially supported by the European Union under contract number ICT-2009-258885 (SPITFIRE).  ... 
doi:10.3390/jsan2020172 fatcat:rkkyyk5rbjeqhlxrkpkiqj74ay

Interoperable and Efficient: Linked Data for the Internet of Things [chapter]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2016 Lecture Notes in Computer Science  
Finally, we reflect how pushing computing to edge networks with our infrastructure can affect privacy, data ownership and data locality.  ...  to over three orders of magnitude on Lightweight Computers.  ...  Shape of IoT Data To investigate the shape of data produced by sensors in the Internet of Things, we collected a sample of the schema of over 20,000 unique IoT devices from public data streams on  ... 
doi:10.1007/978-3-319-45982-0_15 fatcat:q7nezpduzndankjlslw3hie6mq

SOLIOT—Decentralized Data Control and Interactions for IoT

Sebastian R. Bader, Maria Maleshkova
2020 Future Internet  
The conceptual capabilities are outlined, compared and extended for the IoT protocols CoAP and MQTT.  ...  On the other hand, web technologies have already proven their value in distributed settings.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi12060105 fatcat:cc3zqmgb5nes3lw36fiz3zfroa

Ontology-Defined Middleware for Internet of Things Architectures

Víctor Caballero, Sergi Valbuena, David Vernet, Agustín Zaballos
2019 Sensors  
The Internet of Things scenario is composed of an amalgamation of physical devices.  ...  Therefore, the Web of Things enables such physical devices to the web, they become Web Things.  ...  Acknowledgments: Icons used in Figure 3 made by Freepick and Gregor Cresnar at Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19051163 fatcat:yc23vfw5n5g5noiitb5qzzf7ja

Search Engine for the Internet of Things: Lessons from Web Search, Vision, and Opportunities

Fan Liang, Cheng Qian, William Grant Hatcher, Wei Yu
2019 IEEE Access  
With the development of the Internet of Things (IoT), massive numbers of IoT devices (smart sensors, cameras, phones, and so on) have been deployed and utilized in various environments, supporting numerous  ...  As the number of IoT devices increases rapidly, the volume of collected data likewise increases prodigiously.  ...  Based on GeoCENS, Mayer et al. [59] optimized the infrastructure's lookup mechanism, which leverages location information to improve scalability and load balancing of the IoT search engine.  ... 
doi:10.1109/access.2019.2931659 fatcat:ml54xvmlcbfv5bilrlkshjcita


Niklas Kolbe, Jérémy Robert, Sylvain Kubler, Yves Le Traon
2017 Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems Computing Networking and Services  
However, before taking advantage of such opportunities, there are still challenges ahead, one of which is the development of strategies to abstract from the heterogeneity of APIs that shape today's IoT  ...  The Internet of Things (IoT) is promising to open up opportunities for businesses to offer new services to uncover untapped needs.  ...  The authors thank Alexis Gandar for his contribution to the implementation of the tool prototype.  ... 
doi:10.1145/3144457.3144479 dblp:conf/mobiquitous/KolbeRKT17 fatcat:m6n25efzvjgvlozkrnyzpgawxm

Internet of Things [chapter]

Antonio Skarmeta, M. Victoria Moreno
2014 Lecture Notes in Computer Science  
Acknowledgements The IERC would like to thank the European Commission services for their support in the planning and preparation of this document.  ...  The recommendations and opinions expressed in this document do not necessarily represent those of the European Commission. The views expressed herein do not commit the European Commission in any way.  ...  The recent progress on Internet of Things deployments have give a strong push to the IoT to be today's considered as one of the most promising emerging technologies.  ... 
doi:10.1007/978-3-319-06811-4_10 fatcat:ytiz2q6k7vcarhgtvyc4zcurji
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