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

Research output: Chapter in Book/Report/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: ESWC 2018 Satellite Events
Subtitle of host publication	ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers
Editors	Aldo Gangemi, Anna Lisa Gentile, Andrea Giovanni Nuzzolese, Sebastian Rudolph, Maria Maleshkova, Heiko Paulheim, Jeff Z. Pan, Mehwish Alam
Publisher	Springer, Cham
Pages	8-13
Number of pages	6
Volume	LNCS/LNISA 11155
Edition	1st
ISBN (Electronic)	9783319981925
ISBN (Print)	9783319981918
DOIs	https://doi.org/10.1007/978-3-319-98192-5_2
Publication status	Published - 2 Aug 2018
Externally published	Yes
Event	15th Extended Semantic Web Conference - Heraklion, Greece Duration: 3 Jun 2018 → 7 Jun 2018 Conference number: 15

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11155 LNCS/LNISA
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Extended Semantic Web Conference
Abbreviated title	ESWC 2018
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)

Access to Document

10.1007/978-3-319-98192-5_2Licence: Unspecified

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, A. G. Nuzzolese, S. Rudolph, M. Maleshkova, H. Paulheim, J. Z. Pan, & M. Alam (Eds.), The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers (1st ed., Vol. LNCS/LNISA 11155, pp. 8-13). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11155 LNCS/LNISA). Springer, Cham. 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 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. editor / Aldo Gangemi ; Anna Lisa Gentile ; Andrea Giovanni Nuzzolese ; Sebastian Rudolph ; Maria Maleshkova ; Heiko Paulheim ; Jeff Z. Pan ; Mehwish Alam. Vol. LNCS/LNISA 11155 1st. ed. Springer, Cham, 2018. pp. 8-13 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f9d6f5c60dfc476fb1b902898125497f,

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 = "Funding Information: Financial support from EPSRC for the Assessing the Underworld (ATU) grant (EP/K021699/1) is gratefully acknowledged. Heshan Du is supported by NSFC with a project code 61703218. We thank all our colleagues in the ATU project for useful discussions. The contribution of all the industry partners and stakeholders involved in the research is gratefully acknowledged. Funding Information: Acknowledgments. Financial support from EPSRC for the Assessing the Underworld (ATU) grant (EP/K021699/1) is gratefully acknowledged. Heshan Du is supported by NSFC with a project code 61703218. We thank all our colleagues in the ATU project for useful discussions. The contribution of all the industry partners and stakeholders involved in the research is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 15th Extended Semantic Web Conference, ESWC 2018 ; Conference date: 03-06-2018 Through 07-06-2018",

year = "2018",

month = aug,

day = "2",

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

language = "English",

isbn = "9783319981918",

volume = "LNCS/LNISA 11155",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer, Cham",

pages = "8--13",

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

booktitle = "The Semantic Web: ESWC 2018 Satellite Events",

address = "Switzerland",

edition = "1st",

}

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, AG Nuzzolese, S Rudolph, M Maleshkova, H Paulheim, JZ Pan & M Alam (eds), The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. 1st edn, vol. LNCS/LNISA 11155, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11155 LNCS/LNISA, Springer, Cham, pp. 8-13, 15th Extended Semantic Web Conference, 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 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. ed. / Aldo Gangemi; Anna Lisa Gentile; Andrea Giovanni Nuzzolese; Sebastian Rudolph; Maria Maleshkova; Heiko Paulheim; Jeff Z. Pan; Mehwish Alam. Vol. LNCS/LNISA 11155 1st. ed. Springer, Cham, 2018. p. 8-13 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11155 LNCS/LNISA).

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

TY - GEN

T1 - ATU-DSS

T2 - 15th Extended Semantic Web Conference

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.

N1 - Conference code: 15

PY - 2018/8/2

Y1 - 2018/8/2

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

VL - LNCS/LNISA 11155

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 8

EP - 13

BT - The Semantic Web: ESWC 2018 Satellite Events

A2 - Gangemi, Aldo

A2 - Gentile, Anna Lisa

A2 - Nuzzolese, Andrea Giovanni

A2 - Rudolph, Sebastian

A2 - Maleshkova, Maria

A2 - Paulheim, Heiko

A2 - Pan, Jeff Z.

A2 - Alam, Mehwish

PB - Springer, Cham

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, Nuzzolese AG, Rudolph S, Maleshkova M, Paulheim H, Pan JZ, Alam M, editors, The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. 1st ed. Vol. LNCS/LNISA 11155. Springer, Cham. 2018. p. 8-13. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Aug 2. 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

Access to Document

Other files and links

Fingerprint

Cite this