ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management

Lijun Wei; Heshan Du; Quratul Ain Mahesar; Barry Clarke; Derek R. Magee; Vania Dimitrova; David Gunn; David Entwisle; Helen Reeves; Anthony G. Cohn

doi:10.1007/978-3-319-98192-5_2

ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management

Lijun Wei^*
, Heshan Du
, Quratul Ain Mahesar
, Barry Clarke
, Derek R. Magee
, Vania Dimitrova
, David Gunn
, David Entwisle
, Helen Reeves
, Anthony G. Cohn

^*Corresponding author for this work

School of Computer Science

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

Abstract

Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset management. To the best of the authors’ knowledge, this work is the first on assessing the underground space by considering the inter-asset dependencies using semantic technologies. Based on a family of interlinked city infrastructure asset ontologies describing the ground, roads and buried utilities (e.g. water pipes), various datasets are integrated and logical rules are developed to describe the intra-asset and inter-asset relationships. An inference engine is employed to exploit the knowledge and data for assessing the potential impact of an event. This system can be beneficial to a wide range of stakeholders (e.g. utility incident managers) for quickly gathering of the localised contextual data and identifying potential consequences from what may appear as an insignificant trigger. A video demonstrating the prototype is available at: http://bit.ly/2mdyIY4.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers
Editors	Aldo Gangemi, Anna Lisa Gentile, Sebastian Rudolph, Maria Maleshkova, Heiko Paulheim, Jeff Z. Pan, Mehwish Alam, Andrea Giovanni Nuzzolese
Publisher	Springer Verlag
Pages	8-13
Number of pages	6
ISBN (Print)	9783319981918
DOIs	https://doi.org/10.1007/978-3-319-98192-5_2
Publication status	Published - 2018
Event	15th Extended Semantic Web Conference, ESWC 2018 Satellite Events - Heraklion, Greece Duration: 3 Jun 2018 → 7 Jun 2018

Publication series

Name	Lecture Notes in Computer Science
Volume	11155 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Extended Semantic Web Conference, ESWC 2018 Satellite Events
Country/Territory	Greece
City	Heraklion
Period	3/06/18 → 7/06/18

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Free Keywords

Decision support system
Ontologies
Semantic technologies
Subsurface infrastructure
Sustainable streetworks

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-98192-5_2

Cite this

Wei, L., Du, H., Mahesar, Q. A., Clarke, B., Magee, D. R., Dimitrova, V., Gunn, D., Entwisle, D., Reeves, H., & Cohn, A. G. (2018). ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management. In A. Gangemi, A. L. Gentile, S. Rudolph, M. Maleshkova, H. Paulheim, J. Z. Pan, M. Alam, & A. G. Nuzzolese (Eds.), The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers (pp. 8-13). (Lecture Notes in Computer Science; Vol. 11155 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-98192-5_2

Wei, Lijun ; Du, Heshan ; Mahesar, Quratul Ain et al. / ATU-DSS : Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management. The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers. editor / Aldo Gangemi ; Anna Lisa Gentile ; Sebastian Rudolph ; Maria Maleshkova ; Heiko Paulheim ; Jeff Z. Pan ; Mehwish Alam ; Andrea Giovanni Nuzzolese. Springer Verlag, 2018. pp. 8-13 (Lecture Notes in Computer Science).

@inproceedings{3953228c884a475c8412938bf3923449,

title = "ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management",

abstract = "Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset management. To the best of the authors{\textquoteright} knowledge, this work is the first on assessing the underground space by considering the inter-asset dependencies using semantic technologies. Based on a family of interlinked city infrastructure asset ontologies describing the ground, roads and buried utilities (e.g. water pipes), various datasets are integrated and logical rules are developed to describe the intra-asset and inter-asset relationships. An inference engine is employed to exploit the knowledge and data for assessing the potential impact of an event. This system can be beneficial to a wide range of stakeholders (e.g. utility incident managers) for quickly gathering of the localised contextual data and identifying potential consequences from what may appear as an insignificant trigger. A video demonstrating the prototype is available at: http://bit.ly/2mdyIY4.",

keywords = "Decision support system, Ontologies, Semantic technologies, Subsurface infrastructure, Sustainable streetworks",

author = "Lijun Wei and Heshan Du and Mahesar, \{Quratul Ain\} and Barry Clarke and Magee, \{Derek R.\} and Vania Dimitrova and David Gunn and David Entwisle and Helen Reeves and Cohn, \{Anthony G.\}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 15th Extended Semantic Web Conference, ESWC 2018 Satellite Events ; Conference date: 03-06-2018 Through 07-06-2018",

year = "2018",

doi = "10.1007/978-3-319-98192-5\_2",

language = "English",

isbn = "9783319981918",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "8--13",

editor = "Aldo Gangemi and Gentile, \{Anna Lisa\} and Sebastian Rudolph and Maria Maleshkova and Heiko Paulheim and Pan, \{Jeff Z.\} and Mehwish Alam and Nuzzolese, \{Andrea Giovanni\}",

booktitle = "The Semantic Web",

address = "Germany",

}

Wei, L, Du, H, Mahesar, QA, Clarke, B, Magee, DR, Dimitrova, V, Gunn, D, Entwisle, D, Reeves, H & Cohn, AG 2018, ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management. in A Gangemi, AL Gentile, S Rudolph, M Maleshkova, H Paulheim, JZ Pan, M Alam & AG Nuzzolese (eds), The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers. Lecture Notes in Computer Science, vol. 11155 LNCS, Springer Verlag, pp. 8-13, 15th Extended Semantic Web Conference, ESWC 2018 Satellite Events, Heraklion, Greece, 3/06/18. https://doi.org/10.1007/978-3-319-98192-5_2

ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management. / Wei, Lijun; Du, Heshan; Mahesar, Quratul Ain et al.
The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers. ed. / Aldo Gangemi; Anna Lisa Gentile; Sebastian Rudolph; Maria Maleshkova; Heiko Paulheim; Jeff Z. Pan; Mehwish Alam; Andrea Giovanni Nuzzolese. Springer Verlag, 2018. p. 8-13 (Lecture Notes in Computer Science; Vol. 11155 LNCS).

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

TY - GEN

T1 - ATU-DSS

T2 - 15th Extended Semantic Web Conference, ESWC 2018 Satellite Events

AU - Wei, Lijun

AU - Du, Heshan

AU - Mahesar, Quratul Ain

AU - Clarke, Barry

AU - Magee, Derek R.

AU - Dimitrova, Vania

AU - Gunn, David

AU - Entwisle, David

AU - Reeves, Helen

AU - Cohn, Anthony G.

PY - 2018

Y1 - 2018

N2 - Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset management. To the best of the authors’ knowledge, this work is the first on assessing the underground space by considering the inter-asset dependencies using semantic technologies. Based on a family of interlinked city infrastructure asset ontologies describing the ground, roads and buried utilities (e.g. water pipes), various datasets are integrated and logical rules are developed to describe the intra-asset and inter-asset relationships. An inference engine is employed to exploit the knowledge and data for assessing the potential impact of an event. This system can be beneficial to a wide range of stakeholders (e.g. utility incident managers) for quickly gathering of the localised contextual data and identifying potential consequences from what may appear as an insignificant trigger. A video demonstrating the prototype is available at: http://bit.ly/2mdyIY4.

AB - Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset management. To the best of the authors’ knowledge, this work is the first on assessing the underground space by considering the inter-asset dependencies using semantic technologies. Based on a family of interlinked city infrastructure asset ontologies describing the ground, roads and buried utilities (e.g. water pipes), various datasets are integrated and logical rules are developed to describe the intra-asset and inter-asset relationships. An inference engine is employed to exploit the knowledge and data for assessing the potential impact of an event. This system can be beneficial to a wide range of stakeholders (e.g. utility incident managers) for quickly gathering of the localised contextual data and identifying potential consequences from what may appear as an insignificant trigger. A video demonstrating the prototype is available at: http://bit.ly/2mdyIY4.

KW - Decision support system

KW - Ontologies

KW - Semantic technologies

KW - Subsurface infrastructure

KW - Sustainable streetworks

UR - https://www.scopus.com/pages/publications/85051656405

U2 - 10.1007/978-3-319-98192-5_2

DO - 10.1007/978-3-319-98192-5_2

M3 - Conference contribution

AN - SCOPUS:85051656405

SN - 9783319981918

T3 - Lecture Notes in Computer Science

SP - 8

EP - 13

BT - The Semantic Web

A2 - Gangemi, Aldo

A2 - Gentile, Anna Lisa

A2 - Rudolph, Sebastian

A2 - Maleshkova, Maria

A2 - Paulheim, Heiko

A2 - Pan, Jeff Z.

A2 - Alam, Mehwish

A2 - Nuzzolese, Andrea Giovanni

PB - Springer Verlag

Y2 - 3 June 2018 through 7 June 2018

ER -

Wei L, Du H, Mahesar QA, Clarke B, Magee DR, Dimitrova V et al. ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management. In Gangemi A, Gentile AL, Rudolph S, Maleshkova M, Paulheim H, Pan JZ, Alam M, Nuzzolese AG, editors, The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018, Revised Selected Papers. Springer Verlag. 2018. p. 8-13. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-98192-5_2

ATU-DSS: Knowledge-driven data integration and reasoning for sustainable subsurface inter-asset management

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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