Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs

Alex J.A. Donkers; Dujuan Yang; Nico H.G. Baken

Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs

Alex J.A. Donkers, Dujuan Yang, Nico H.G. Baken

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The need to integrate siloed data in the built environment led to a gaining interest in semantic web technologies in the Architecture, Engineering and Construction (AEC) sector. Especially for smart home developments, the integration of information about the building, users and Internet of Things (IoT) devices could be valuable. The Resource Description Framework (RDF) is the standard model for the semantic web, however, labeled property graphs (LPG) also proved to be effective in linking data. This research used the Open Smart Home Dataset and a dataset representing a kitchen to compare the two graph models both qualitatively and quantitatively. The comparison shows that native labeled property graphs are less complex and outperform the atomic RDF in complex graph traversals. However, RDF shows qualitative advantages for multi-domain and multi-stakeholder environments, such as the use of ontologies and HTTP URIs, making it a more stable interoperability format.

Original language	English
Title of host publication	LDAC 2020 Linked Data in Architecture and Construction
Subtitle of host publication	Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020
Editors	María Poveda-Villalón, Ana Roxin, Kris McGlinn, Pieter Pauwels
Publisher	CEUR-WS.org
Pages	23-36
Number of pages	14
Publication status	Published - 2020
Event	8th Linked Data in Architecture and Construction Workshop, LDAC 2020 - Virtually Hosted, Dublin, Ireland Duration: 17 Jun 2020 → 19 Jun 2020 Conference number: 8 http://linkedbuildingdata.net/ldac2020/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	2636

Workshop

Workshop	8th Linked Data in Architecture and Construction Workshop, LDAC 2020
Abbreviated title	LDAC 2020
Country/Territory	Ireland
City	Dublin
Period	17/06/20 → 19/06/20
Internet address	http://linkedbuildingdata.net/ldac2020/

Keywords

LPG
Neo4j
RDF
Smart Home

Access to Document

http://ceur-ws.org/Vol-2636/02paper.pdfLicence: CC BY

Cite this

Donkers, A. J. A., Yang, D., & Baken, N. H. G. (2020). Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs. In M. Poveda-Villalón, A. Roxin, K. McGlinn, & P. Pauwels (Eds.), LDAC 2020 Linked Data in Architecture and Construction: Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020 (pp. 23-36). (CEUR Workshop Proceedings; Vol. 2636). CEUR-WS.org. http://ceur-ws.org/Vol-2636/02paper.pdf

Donkers, Alex J.A. ; Yang, Dujuan ; Baken, Nico H.G. / Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs. LDAC 2020 Linked Data in Architecture and Construction: Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020. editor / María Poveda-Villalón ; Ana Roxin ; Kris McGlinn ; Pieter Pauwels. CEUR-WS.org, 2020. pp. 23-36 (CEUR Workshop Proceedings).

@inproceedings{84d16f600fb24f848d3bf4567bb396e1,

title = "Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs",

abstract = "The need to integrate siloed data in the built environment led to a gaining interest in semantic web technologies in the Architecture, Engineering and Construction (AEC) sector. Especially for smart home developments, the integration of information about the building, users and Internet of Things (IoT) devices could be valuable. The Resource Description Framework (RDF) is the standard model for the semantic web, however, labeled property graphs (LPG) also proved to be effective in linking data. This research used the Open Smart Home Dataset and a dataset representing a kitchen to compare the two graph models both qualitatively and quantitatively. The comparison shows that native labeled property graphs are less complex and outperform the atomic RDF in complex graph traversals. However, RDF shows qualitative advantages for multi-domain and multi-stakeholder environments, such as the use of ontologies and HTTP URIs, making it a more stable interoperability format.",

keywords = "RDF, LPG, Neo4j, Smart Home, Linked Data, Semantic Web, LPG, Neo4j, RDF, Smart Home",

author = "Donkers, {Alex J.A.} and Dujuan Yang and Baken, {Nico H.G.}",

year = "2020",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "23--36",

editor = "Mar{\'i}a Poveda-Villal{\'o}n and Ana Roxin and Kris McGlinn and Pieter Pauwels",

booktitle = "LDAC 2020 Linked Data in Architecture and Construction",

note = "8th Linked Data in Architecture and Construction Workshop, LDAC 2020, LDAC 2020 ; Conference date: 17-06-2020 Through 19-06-2020",

url = "http://linkedbuildingdata.net/ldac2020/",

}

Donkers, AJA , Yang, D & Baken, NHG 2020, Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs. in M Poveda-Villalón, A Roxin, K McGlinn & P Pauwels (eds), LDAC 2020 Linked Data in Architecture and Construction: Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020. CEUR Workshop Proceedings, vol. 2636, CEUR-WS.org, pp. 23-36, 8th Linked Data in Architecture and Construction Workshop, LDAC 2020, Dublin, Ireland, 17/06/20. <http://ceur-ws.org/Vol-2636/02paper.pdf>

Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs. / Donkers, Alex J.A.; Yang, Dujuan; Baken, Nico H.G.
LDAC 2020 Linked Data in Architecture and Construction: Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020. ed. / María Poveda-Villalón; Ana Roxin; Kris McGlinn; Pieter Pauwels. CEUR-WS.org, 2020. p. 23-36 (CEUR Workshop Proceedings; Vol. 2636).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs

AU - Donkers, Alex J.A.

AU - Yang, Dujuan

AU - Baken, Nico H.G.

N1 - Conference code: 8

PY - 2020

Y1 - 2020

N2 - The need to integrate siloed data in the built environment led to a gaining interest in semantic web technologies in the Architecture, Engineering and Construction (AEC) sector. Especially for smart home developments, the integration of information about the building, users and Internet of Things (IoT) devices could be valuable. The Resource Description Framework (RDF) is the standard model for the semantic web, however, labeled property graphs (LPG) also proved to be effective in linking data. This research used the Open Smart Home Dataset and a dataset representing a kitchen to compare the two graph models both qualitatively and quantitatively. The comparison shows that native labeled property graphs are less complex and outperform the atomic RDF in complex graph traversals. However, RDF shows qualitative advantages for multi-domain and multi-stakeholder environments, such as the use of ontologies and HTTP URIs, making it a more stable interoperability format.

AB - The need to integrate siloed data in the built environment led to a gaining interest in semantic web technologies in the Architecture, Engineering and Construction (AEC) sector. Especially for smart home developments, the integration of information about the building, users and Internet of Things (IoT) devices could be valuable. The Resource Description Framework (RDF) is the standard model for the semantic web, however, labeled property graphs (LPG) also proved to be effective in linking data. This research used the Open Smart Home Dataset and a dataset representing a kitchen to compare the two graph models both qualitatively and quantitatively. The comparison shows that native labeled property graphs are less complex and outperform the atomic RDF in complex graph traversals. However, RDF shows qualitative advantages for multi-domain and multi-stakeholder environments, such as the use of ontologies and HTTP URIs, making it a more stable interoperability format.

KW - RDF

KW - LPG

KW - Neo4j

KW - Smart Home

KW - Linked Data

KW - Semantic Web

KW - LPG

KW - Neo4j

KW - RDF

KW - Smart Home

UR - http://www.scopus.com/inward/record.url?scp=85092160328&partnerID=8YFLogxK

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 23

EP - 36

BT - LDAC 2020 Linked Data in Architecture and Construction

A2 - Poveda-Villalón, María

A2 - Roxin, Ana

A2 - McGlinn, Kris

A2 - Pauwels, Pieter

PB - CEUR-WS.org

T2 - 8th Linked Data in Architecture and Construction Workshop, LDAC 2020

Y2 - 17 June 2020 through 19 June 2020

ER -

Donkers AJA , Yang D, Baken NHG. Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs. In Poveda-Villalón M, Roxin A, McGlinn K, Pauwels P, editors, LDAC 2020 Linked Data in Architecture and Construction: Proceedings of the 8th Linked Data in Architecture and Construction Workshop Dublin, Ireland, June 17-19, 2020. CEUR-WS.org. 2020. p. 23-36. (CEUR Workshop Proceedings).

Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs

Abstract

Publication series

Workshop

Keywords

Access to Document

Other files and links

Fingerprint

TKI PPS Smart Two BWK38: enabling technologies for next generation networks for smart cities

Cite this

Linked Data for Smart Homes: Comparing RDF and Labeled Property Graphs

Abstract

Publication series

Workshop

Keywords

Access to Document

Other files and links

Fingerprint

Projects

TKI PPS Smart Two BWK38: enabling technologies for next generation networks for smart cities

Cite this