Semantic Matching Through Knowledge Graphs: A Smart City Case

Alexander Voelz; Danial M. Amlashi; Moonkun Lee

doi:10.1007/978-3-031-34985-0_10

Semantic Matching Through Knowledge Graphs: A Smart City Case

Alexander Voelz^*
, Danial M. Amlashi
, Moonkun Lee

^*Corresponding author for this work

University of Vienna

Research output: Contribution to conference › Conference paper › peer-review

2 Scopus citations

Abstract

Using selected building blocks of the Semantic Web vision to enhance domain-specific modeling methods is advancing as a new research area. The study at hand aims to contribute to this novel area of research by proposing a Semantic Matching Model that serves as a foundation for matching the purpose of a certain modeling method with the intention of future users. Within this matching model, Linked Open Data is utilized to semantically align user inputs in the form of words or phrases with resources from the Semantic Web, which can then form the basis for semantic enrichment of model instances. An experimental proof-of-concept is provided in the form of a smart city-related implementation scenario. In this scenario, tour models are first matched with relevant information from the Semantic Web and then translated into semantic-rich knowledge graphs that enable the publication of the enriched models.

Original language	English
Title of host publication	Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings
Editors	Marcela Ruiz, Pnina Soffer
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	92-104
Number of pages	13
ISBN (Print)	9783031349843
DOIs	https://doi.org/10.1007/978-3-031-34985-0_10
State	Published - 2023
Event	1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023 - Zaragoza, Spain Duration: 2023.06.12 → 2023.06.16

Publication series

Name	Lecture Notes in Business Information Processing
Volume	482
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023
Country/Territory	Spain
City	Zaragoza
Period	23.06.12 → 23.06.16

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Conceptual Modeling
Domain-Specific Modeling Methods
Knowledge Graph
Linked Open Data
Semantic Matching

Quacquarelli Symonds(QS) Subject Topics

Business & Management Studies
Computer Science & Information Systems
Mathematics

Access to Document

10.1007/978-3-031-34985-0_10

Cite this

Voelz, A., Amlashi, D. M., & Lee, M. (2023). Semantic Matching Through Knowledge Graphs: A Smart City Case. In M. Ruiz, & P. Soffer (Eds.), Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings (pp. 92-104). (Lecture Notes in Business Information Processing; Vol. 482). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34985-0_10

Voelz, Alexander ; Amlashi, Danial M. ; Lee, Moonkun. / Semantic Matching Through Knowledge Graphs : A Smart City Case. Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings. editor / Marcela Ruiz ; Pnina Soffer. Springer Science and Business Media Deutschland GmbH, 2023. pp. 92-104 (Lecture Notes in Business Information Processing).

@inproceedings{21b49cce909c4e4e8284f7b0ac078ea8,

title = "Semantic Matching Through Knowledge Graphs: A Smart City Case",

abstract = "Using selected building blocks of the Semantic Web vision to enhance domain-specific modeling methods is advancing as a new research area. The study at hand aims to contribute to this novel area of research by proposing a Semantic Matching Model that serves as a foundation for matching the purpose of a certain modeling method with the intention of future users. Within this matching model, Linked Open Data is utilized to semantically align user inputs in the form of words or phrases with resources from the Semantic Web, which can then form the basis for semantic enrichment of model instances. An experimental proof-of-concept is provided in the form of a smart city-related implementation scenario. In this scenario, tour models are first matched with relevant information from the Semantic Web and then translated into semantic-rich knowledge graphs that enable the publication of the enriched models.",

keywords = "Conceptual Modeling, Domain-Specific Modeling Methods, Knowledge Graph, Linked Open Data, Semantic Matching",

author = "Alexander Voelz and Amlashi, \{Danial M.\} and Moonkun Lee",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023 ; Conference date: 12-06-2023 Through 16-06-2023",

year = "2023",

doi = "10.1007/978-3-031-34985-0\_10",

language = "English",

isbn = "9783031349843",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "92--104",

editor = "Marcela Ruiz and Pnina Soffer",

booktitle = "Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings",

}

Voelz, A, Amlashi, DM & Lee, M 2023, Semantic Matching Through Knowledge Graphs: A Smart City Case. in M Ruiz & P Soffer (eds), Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings. Lecture Notes in Business Information Processing, vol. 482, Springer Science and Business Media Deutschland GmbH, pp. 92-104, 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, Zaragoza, Spain, 23.06.12. https://doi.org/10.1007/978-3-031-34985-0_10

Semantic Matching Through Knowledge Graphs: A Smart City Case. / Voelz, Alexander; Amlashi, Danial M.; Lee, Moonkun.
Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings. ed. / Marcela Ruiz; Pnina Soffer. Springer Science and Business Media Deutschland GmbH, 2023. p. 92-104 (Lecture Notes in Business Information Processing; Vol. 482).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Semantic Matching Through Knowledge Graphs

T2 - 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, HybridAIMS, 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering, KG4SDSE, Blockchain and Decentralized Governance Design for Information Systems, BC4IS and DGD, associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023

AU - Voelz, Alexander

AU - Amlashi, Danial M.

AU - Lee, Moonkun

PY - 2023

Y1 - 2023

N2 - Using selected building blocks of the Semantic Web vision to enhance domain-specific modeling methods is advancing as a new research area. The study at hand aims to contribute to this novel area of research by proposing a Semantic Matching Model that serves as a foundation for matching the purpose of a certain modeling method with the intention of future users. Within this matching model, Linked Open Data is utilized to semantically align user inputs in the form of words or phrases with resources from the Semantic Web, which can then form the basis for semantic enrichment of model instances. An experimental proof-of-concept is provided in the form of a smart city-related implementation scenario. In this scenario, tour models are first matched with relevant information from the Semantic Web and then translated into semantic-rich knowledge graphs that enable the publication of the enriched models.

AB - Using selected building blocks of the Semantic Web vision to enhance domain-specific modeling methods is advancing as a new research area. The study at hand aims to contribute to this novel area of research by proposing a Semantic Matching Model that serves as a foundation for matching the purpose of a certain modeling method with the intention of future users. Within this matching model, Linked Open Data is utilized to semantically align user inputs in the form of words or phrases with resources from the Semantic Web, which can then form the basis for semantic enrichment of model instances. An experimental proof-of-concept is provided in the form of a smart city-related implementation scenario. In this scenario, tour models are first matched with relevant information from the Semantic Web and then translated into semantic-rich knowledge graphs that enable the publication of the enriched models.

KW - Conceptual Modeling

KW - Domain-Specific Modeling Methods

KW - Knowledge Graph

KW - Linked Open Data

KW - Semantic Matching

UR - https://www.scopus.com/pages/publications/85164251729

U2 - 10.1007/978-3-031-34985-0_10

DO - 10.1007/978-3-031-34985-0_10

M3 - Conference paper

AN - SCOPUS:85164251729

SN - 9783031349843

T3 - Lecture Notes in Business Information Processing

SP - 92

EP - 104

BT - Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings

A2 - Ruiz, Marcela

A2 - Soffer, Pnina

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 12 June 2023 through 16 June 2023

ER -

Voelz A, Amlashi DM, Lee M. Semantic Matching Through Knowledge Graphs: A Smart City Case. In Ruiz M, Soffer P, editors, Advanced Information Systems Engineering Workshops - CAiSE 2023 International Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 92-104. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-34985-0_10

Semantic Matching Through Knowledge Graphs: A Smart City Case

Abstract

Publication series

Conference

UN SDGs

Keywords

Quacquarelli Symonds(QS) Subject Topics

Access to Document

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Cite this