Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts

Samih Al-Areqi; Anna Lena Lamprecht; Tiziana Margaria

doi:10.1007/978-3-319-42111-7_12

Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts

Samih Al-Areqi, Anna Lena Lamprecht, Tiziana Margaria

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

Abstract

Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraints-driven synthesis methods to obtain the workflows that match their intentions.

Original language	English
Title of host publication	Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings
Editors	Osvaldo Gervasi, Bernady O. Apduhan, Sanjay Misra, Carmelo M. Torre, Ana Maria A.C. Rocha, David Taniar, Elena Stankova, Beniamino Murgante, Shangguang Wang
Publisher	Springer Verlag
Pages	134-150
Number of pages	17
ISBN (Print)	9783319421100
DOIs	https://doi.org/10.1007/978-3-319-42111-7_12
Publication status	Published - 2016
Event	16th International Conference on Computational Science and Its Applications, ICCSA 2016 - Beijing, China Duration: 4 Jul 2016 → 7 Jul 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9788
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Computational Science and Its Applications, ICCSA 2016
Country/Territory	China
City	Beijing
Period	4/07/16 → 7/07/16

Keywords

Climate impact analysis
Geospatial services
Ontologies
Scientific workflows
Semantic domain modeling
Service composition

Access to Document

10.1007/978-3-319-42111-7_12

Cite this

Al-Areqi, S., Lamprecht, A. L., & Margaria, T. (2016). Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts. In O. Gervasi, B. O. Apduhan, S. Misra, C. M. Torre, A. M. A. C. Rocha, D. Taniar, E. Stankova, B. Murgante, & S. Wang (Eds.), Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings (pp. 134-150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9788). Springer Verlag. https://doi.org/10.1007/978-3-319-42111-7_12

Al-Areqi, Samih ; Lamprecht, Anna Lena ; Margaria, Tiziana. / Constraints-driven automatic geospatial service composition : Workflows for the analysis of sea-level rise impacts. Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings. editor / Osvaldo Gervasi ; Bernady O. Apduhan ; Sanjay Misra ; Carmelo M. Torre ; Ana Maria A.C. Rocha ; David Taniar ; Elena Stankova ; Beniamino Murgante ; Shangguang Wang. Springer Verlag, 2016. pp. 134-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{bf3c5b43eda24945b6811ce7003fb91f,

title = "Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts",

abstract = "Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraints-driven synthesis methods to obtain the workflows that match their intentions.",

keywords = "Climate impact analysis, Geospatial services, Ontologies, Scientific workflows, Semantic domain modeling, Service composition",

author = "Samih Al-Areqi and Lamprecht, {Anna Lena} and Tiziana Margaria",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 16th International Conference on Computational Science and Its Applications, ICCSA 2016 ; Conference date: 04-07-2016 Through 07-07-2016",

year = "2016",

doi = "10.1007/978-3-319-42111-7_12",

language = "English",

isbn = "9783319421100",

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

publisher = "Springer Verlag",

pages = "134--150",

editor = "Osvaldo Gervasi and Apduhan, {Bernady O.} and Sanjay Misra and Torre, {Carmelo M.} and Rocha, {Ana Maria A.C.} and David Taniar and Elena Stankova and Beniamino Murgante and Shangguang Wang",

booktitle = "Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings",

}

Al-Areqi, S, Lamprecht, AL & Margaria, T 2016, Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts. in O Gervasi, BO Apduhan, S Misra, CM Torre, AMAC Rocha, D Taniar, E Stankova, B Murgante & S Wang (eds), Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9788, Springer Verlag, pp. 134-150, 16th International Conference on Computational Science and Its Applications, ICCSA 2016, Beijing, China, 4/07/16. https://doi.org/10.1007/978-3-319-42111-7_12

Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts. / Al-Areqi, Samih; Lamprecht, Anna Lena; Margaria, Tiziana.
Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings. ed. / Osvaldo Gervasi; Bernady O. Apduhan; Sanjay Misra; Carmelo M. Torre; Ana Maria A.C. Rocha; David Taniar; Elena Stankova; Beniamino Murgante; Shangguang Wang. Springer Verlag, 2016. p. 134-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9788).

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

TY - GEN

T1 - Constraints-driven automatic geospatial service composition

T2 - 16th International Conference on Computational Science and Its Applications, ICCSA 2016

AU - Al-Areqi, Samih

AU - Lamprecht, Anna Lena

AU - Margaria, Tiziana

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraints-driven synthesis methods to obtain the workflows that match their intentions.

AB - Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraints-driven synthesis methods to obtain the workflows that match their intentions.

KW - Climate impact analysis

KW - Geospatial services

KW - Ontologies

KW - Scientific workflows

KW - Semantic domain modeling

KW - Service composition

UR - http://www.scopus.com/inward/record.url?scp=84978289471&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-42111-7_12

DO - 10.1007/978-3-319-42111-7_12

M3 - Conference contribution

AN - SCOPUS:84978289471

SN - 9783319421100

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

SP - 134

EP - 150

BT - Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings

A2 - Gervasi, Osvaldo

A2 - Apduhan, Bernady O.

A2 - Misra, Sanjay

A2 - Torre, Carmelo M.

A2 - Rocha, Ana Maria A.C.

A2 - Taniar, David

A2 - Stankova, Elena

A2 - Murgante, Beniamino

A2 - Wang, Shangguang

PB - Springer Verlag

Y2 - 4 July 2016 through 7 July 2016

ER -

Al-Areqi S, Lamprecht AL, Margaria T. Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts. In Gervasi O, Apduhan BO, Misra S, Torre CM, Rocha AMAC, Taniar D, Stankova E, Murgante B, Wang S, editors, Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings. Springer Verlag. 2016. p. 134-150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-42111-7_12

Constraints-driven automatic geospatial service composition: Workflows for the analysis of sea-level rise impacts

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this