Semantic Models for Scalable Search in the Internet of Things

Richard Mietz; Sven Groppe; Kay Römer; Dennis Pfisterer

doi:10.3390/jsan2020172

Semantic Models for Scalable Search in the Internet of Things

Richard Mietz, Sven Groppe, Kay Römer, Dennis Pfisterer

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
Journal	Journal of Sensor and Actuator Networks
Volume	2
Pages (from-to)	172-195
Number of pages	24
ISSN	2224-2708
DOIs	https://doi.org/10.3390/jsan2020172
Publication status	Published - 27.03.2013

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Research Areas and Centers

Research Area: Intelligent Systems
Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

409-06 Information Systems, Process and Knowledge Management
4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

Access to Document

10.3390/jsan2020172

Cite this

@article{73e7dd2237904d1aa001226058ae2ab9,

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.",

author = "Richard Mietz and Sven Groppe and Kay R{\"o}mer and Dennis Pfisterer",

note = "ISSN 2224-2708",

year = "2013",

month = mar,

day = "27",

doi = "10.3390/jsan2020172",

language = "English",

volume = "2",

pages = "172--195",

journal = "Journal of Sensor and Actuator Networks",

issn = "2224-2708",

}

TY - JOUR

T1 - Semantic Models for Scalable Search in the Internet of Things

AU - Mietz, Richard

AU - Groppe, Sven

AU - Römer, Kay

AU - Pfisterer, Dennis

N1 - ISSN 2224-2708

PY - 2013/3/27

Y1 - 2013/3/27

N2 - 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.

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 - Journal articles

SN - 2224-2708

VL - 2

SP - 172

EP - 195

JO - Journal of Sensor and Actuator Networks

JF - Journal of Sensor and Actuator Networks

ER -

Semantic Models for Scalable Search in the Internet of Things

Abstract

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Access to Document

Fingerprint

Cite this