Semantic Models for Scalable Search in the Internet of Things

Richard Mietz; Sven Groppe; Kay Uwe Römer; Dennis Pfisterer

doi:10.3390/jsan2020172

Semantic Models for Scalable Search in the Internet of Things

Richard Mietz, Sven Groppe, Kay Uwe Römer, Dennis Pfisterer^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. 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

Original language	English
Pages (from-to)	172-195
Journal	Journal of Sensor and Actuator Networks
Volume	2
Issue number	2
DOIs	https://doi.org/10.3390/jsan2020172
Publication status	Published - 2013
Externally published	Yes

Fields of Expertise

Sonstiges

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/jsan2020172Licence: CC BY 4.0

Intelligent & Networked Embedded Systems
Boano, C. A., Römer, K. U., Schuß, M., Cao, N., Saukh, O., Hofmann, R., Stocker, M., Schuh, M. P., Papst, F., Salomon, E., Brunner, H., Gallacher, M., Mohamed Hydher, M. H., Wang, D., Corti, F., Krisper, M., Basic, F. & Petrovic, K.
1/09/13 → 31/12/24
Project: Research area

Cite this

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title = "Semantic Models for Scalable Search in the Internet of Things",

abstract = "The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. 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",

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year = "2013",

doi = "10.3390/jsan2020172",

language = "English",

volume = "2",

pages = "172--195",

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AU - Groppe, Sven

AU - Römer, Kay Uwe

AU - Pfisterer, Dennis

PY - 2013

Y1 - 2013

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AB - The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. 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

U2 - 10.3390/jsan2020172

DO - 10.3390/jsan2020172

M3 - Article

SN - 2224-2708

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SP - 172

EP - 195

JO - Journal of Sensor and Actuator Networks

JF - Journal of Sensor and Actuator Networks

IS - 2

ER -

Semantic Models for Scalable Search in the Internet of Things

Abstract

Fields of Expertise

UN SDGs

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Projects

Intelligent & Networked Embedded Systems

Cite this