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

Abstract / Description of output

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
Editors	Aldo Gangemi, Anna Lisa Gentile, Andrea Giovanni Nuzzolese, Sebastian Rudolph, Maria Maleshkova, Heiko Paulheim, Jeff Z Pan, Mehwish Alam
Place of Publication	Cham
Publisher	Springer
Pages	8-13
Number of pages	6
ISBN (Electronic)	978-3-319-98192-5
ISBN (Print)	978-3-319-98191-8
DOIs	https://doi.org/10.1007/978-3-319-98192-5_2
Publication status	Published - 2 Aug 2018
Event	15th Extended Semantic Web Conference (ESWC) - Heraklion, Greece Duration: 3 Jun 2018 → 7 Jun 2018 https://2018.eswc-conferences.org/

Publication series

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

Conference

Conference	15th Extended Semantic Web Conference (ESWC)
Abbreviated title	ESWC 2018
Country/Territory	Greece
City	Heraklion
Period	3/06/18 → 7/06/18
Internet address	https://2018.eswc-conferences.org/

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10.1007/978-3-319-98192-5_2Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007%2F978-3-319-98192-5_2Licence: All Rights Reserved

Cite this

Wei, L., Du, H., Mahesar, Q., 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 (pp. 8-13). (Lecture Notes in Computer Science; Vol. 11155). Springer. 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. editor / Aldo Gangemi ; Anna Lisa Gentile ; Andrea Giovanni Nuzzolese ; Sebastian Rudolph ; Maria Maleshkova ; Heiko Paulheim ; Jeff Z Pan ; Mehwish Alam. Cham : Springer, 2018. pp. 8-13 (Lecture Notes in Computer Science).

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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' 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.",

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

year = "2018",

month = aug,

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

language = "English",

isbn = "978-3-319-98191-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

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 = "United Kingdom",

note = "15th Extended Semantic Web Conference (ESWC), ESWC 2018 ; Conference date: 03-06-2018 Through 07-06-2018",

url = "https://2018.eswc-conferences.org/",

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Wei, L, Du, H, Mahesar, Q, 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. Lecture Notes in Computer Science, vol. 11155, Springer, Cham, pp. 8-13, 15th Extended Semantic Web Conference (ESWC), 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. ed. / Aldo Gangemi; Anna Lisa Gentile; Andrea Giovanni Nuzzolese; Sebastian Rudolph; Maria Maleshkova; Heiko Paulheim; Jeff Z Pan; Mehwish Alam. Cham: Springer, 2018. p. 8-13 (Lecture Notes in Computer Science; Vol. 11155).

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

TY - GEN

T1 - ATU-DSS: Knowledge-Driven Data Integration and Reasoning for Sustainable Subsurface Inter-asset Management

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 - 2018/8/2

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.

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

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

M3 - Conference contribution

SN - 978-3-319-98191-8

T3 - Lecture Notes in Computer Science

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

CY - Cham

T2 - 15th Extended Semantic Web Conference (ESWC)

Y2 - 3 June 2018 through 7 June 2018

ER -

Wei L, Du H, Mahesar Q, 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. Cham: Springer. 2018. p. 8-13. (Lecture Notes in Computer Science). Epub 2018 Jun 3. doi: 10.1007/978-3-319-98192-5_2

ATU-DSS: Knowledge-Driven Data Integration and Reasoning for Sustainable Subsurface Inter-asset Management

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